modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
tifa-benchmark/promptcap-coco-vqa | 2023-04-20T23:43:48.000Z | [
"transformers",
"pytorch",
"ofa",
"image-to-text",
"visual-question-answering",
"image-captioning",
"en",
"dataset:coco",
"dataset:textvqa",
"dataset:VQAv2",
"dataset:OK-VQA",
"dataset:A-OKVQA",
"arxiv:2211.09699",
"license:openrail",
"region:us"
] | image-to-text | tifa-benchmark | null | null | tifa-benchmark/promptcap-coco-vqa | 9 | 1,035 | transformers | 2023-01-23T23:39:29 | ---
license: openrail
inference: false
pipeline_tag: image-to-text
tags:
- image-to-text
- visual-question-answering
- image-captioning
datasets:
- coco
- textvqa
- VQAv2
- OK-VQA
- A-OKVQA
language:
- en
---
This is the repo for the paper [PromptCap: Prompt-Guided Task-Aware Image Captioning](https://arxiv.org/abs/22... | 3,637 | [
[
-0.0313720703125,
-0.048187255859375,
0.024932861328125,
0.00997161865234375,
-0.006565093994140625,
0.002002716064453125,
0.003948211669921875,
-0.0303192138671875,
-0.00608062744140625,
0.04510498046875,
-0.052764892578125,
-0.0308837890625,
-0.012229919433593... |
Yntec/RainbowClassicAnime | 2023-07-25T21:47:58.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"duchaiten",
"rainbowpatch",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/RainbowClassicAnime | 2 | 1,034 | diffusers | 2023-07-12T10:05:57 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- duchaiten
- rainbowpatch
- diffusers
---
# RainbowClassicAnime
A mix of Rainbowpatch 1.0 by Patchmonk at https://civitai.com/models/5528/rainbowpat... | 679 | [
[
-0.061798095703125,
-0.0496826171875,
0.0018625259399414062,
0.059173583984375,
-0.027862548828125,
0.0022869110107421875,
0.0245513916015625,
-0.037811279296875,
0.077880859375,
0.035491943359375,
-0.08673095703125,
-0.0193939208984375,
-0.0164337158203125,
... |
nayohan/llama-2-ko-7b-Inst | 2023-10-26T10:44:28.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2-ko",
"KoQuality",
"ko",
"dataset:DILAB-HYU/KoQuality",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | nayohan | null | null | nayohan/llama-2-ko-7b-Inst | 0 | 1,034 | transformers | 2023-10-25T04:31:11 | ---
license: apache-2.0
datasets:
- DILAB-HYU/KoQuality
language:
- ko
pipeline_tag: text-generation
tags:
- llama-2-ko
- KoQuality
base_model: beomi/llama-2-ko-7b
---
This model is a instruct-tuned llama-2-ko-7b model, using only 10% of [Kullm, OIG, KoAlpaca] Instruction dataset.
len10_k100_mppl_n0.1.json -> 121step
... | 720 | [
[
-0.031280517578125,
-0.05517578125,
0.034149169921875,
0.024322509765625,
-0.04302978515625,
0.0093841552734375,
-0.0008487701416015625,
-0.0027446746826171875,
0.0031147003173828125,
0.03936767578125,
-0.05865478515625,
-0.029632568359375,
-0.04888916015625,
... |
susnato/clvp_dev | 2023-10-29T09:16:52.000Z | [
"transformers",
"pytorch",
"clvp",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | susnato | null | null | susnato/clvp_dev | 0 | 1,033 | transformers | 2023-07-11T07:14:07 | **DISCLAIMER** : I do not own any weights present in this repository. All weights belong to the author of the
paper - "Better speech synthesis through scaling", James Betker . I am storing the weights(temporarily) for the `tortoise-tts` integration
to Huggingface. Please refer to this [PR](https://github.com/huggingfa... | 661 | [
[
-0.0369873046875,
-0.02471923828125,
0.0115814208984375,
0.038604736328125,
-0.0129547119140625,
-0.00811004638671875,
-0.026824951171875,
-0.0322265625,
0.0255889892578125,
0.032257080078125,
-0.0286712646484375,
-0.01381683349609375,
-0.051422119140625,
-0... |
Yntec/Lunar | 2023-07-30T07:31:21.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"mooncryptowow",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Lunar | 0 | 1,033 | diffusers | 2023-07-29T23:16:10 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- mooncryptowow
---
# Lunar Diffusion 1.26.1
My favorite Lunar model by mooncryptowow.
Original pages:
https://civitai.com/api/download/models/449... | 322 | [
[
-0.0421142578125,
-0.0219573974609375,
0.0615234375,
0.0670166015625,
-0.0166168212890625,
-0.0202178955078125,
0.035247802734375,
-0.007678985595703125,
0.0430908203125,
0.050079345703125,
-0.054656982421875,
-0.041595458984375,
-0.00250244140625,
-0.029525... |
pierreguillou/gpt2-small-portuguese | 2021-05-23T10:59:56.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"pt",
"dataset:wikipedia",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | pierreguillou | null | null | pierreguillou/gpt2-small-portuguese | 30 | 1,032 | transformers | 2022-03-02T23:29:05 | ---
language: pt
widget:
- text: "Quem era Jim Henson? Jim Henson era um"
- text: "Em um achado chocante, o cientista descobriu um"
- text: "Barack Hussein Obama II, nascido em 4 de agosto de 1961, é"
- text: "Corrida por vacina contra Covid-19 já tem"
license: mit
datasets:
- wikipedia
---
# GPorTuguese-2: a Langua... | 9,892 | [
[
-0.026763916015625,
-0.05615234375,
0.006748199462890625,
0.0135955810546875,
-0.03204345703125,
-0.015045166015625,
-0.0242462158203125,
-0.03875732421875,
0.004482269287109375,
0.00893402099609375,
-0.0323486328125,
-0.0222320556640625,
-0.07208251953125,
... |
transformersbook/bert-base-uncased-finetuned-clinc | 2022-02-05T16:38:54.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"arxiv:1909.02027",
"endpoints_compatible",
"region:us"
] | text-classification | transformersbook | null | null | transformersbook/bert-base-uncased-finetuned-clinc | 1 | 1,032 | transformers | 2022-03-02T23:29:05 | # Intent Detection with BERT
This model was trained on the [CLINC150](https://arxiv.org/abs/1909.02027) dataset for customer intent detection. The dataset can be found on the [Hub](https://huggingface.co/datasets/clinc_oos). The model is used in Chapter 8: Making Transformers Efficient in Production in the [NLP with T... | 583 | [
[
-0.031585693359375,
-0.037994384765625,
0.04541015625,
0.01329803466796875,
0.002635955810546875,
-0.052520751953125,
-0.0171966552734375,
-0.03863525390625,
-0.00508880615234375,
0.047515869140625,
-0.06854248046875,
-0.0433349609375,
-0.0224151611328125,
-... |
Helsinki-NLP/opus-mt-fr-es | 2023-08-16T11:36:22.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-fr-es | 0 | 1,031 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-es
* source languages: fr
* target languages: es
* OPUS readme: [fr-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 1,102 | [
[
-0.0275115966796875,
-0.0285186767578125,
0.02001953125,
0.0276947021484375,
-0.0288848876953125,
-0.02459716796875,
-0.0272216796875,
-0.007068634033203125,
0.0069732666015625,
0.03302001953125,
-0.061920166015625,
-0.042388916015625,
-0.0462646484375,
0.01... |
indobenchmark/indobert-large-p1 | 2021-05-19T20:26:01.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"indobert",
"indobenchmark",
"indonlu",
"id",
"dataset:Indo4B",
"arxiv:2009.05387",
"license:mit",
"region:us"
] | feature-extraction | indobenchmark | null | null | indobenchmark/indobert-large-p1 | 3 | 1,031 | transformers | 2022-03-02T23:29:05 | ---
language: id
tags:
- indobert
- indobenchmark
- indonlu
license: mit
inference: false
datasets:
- Indo4B
---
# IndoBERT Large Model (phase1 - uncased)
[IndoBERT](https://arxiv.org/abs/2009.05387) is a state-of-the-art language model for Indonesian based on the BERT model. The pretrained model is trained using a m... | 2,715 | [
[
-0.0298004150390625,
-0.034149169921875,
0.01317596435546875,
0.03765869140625,
-0.033233642578125,
-0.0213623046875,
-0.0440673828125,
-0.0294189453125,
0.0211639404296875,
0.035247802734375,
-0.02349853515625,
-0.0258331298828125,
-0.049774169921875,
0.025... |
facebook/FairBERTa | 2023-03-18T02:00:22.000Z | [
"pytorch",
"roberta",
"counterfactual",
"perturb",
"fairness",
"nlp",
"demographic",
"diverse",
"gender",
"non-binary",
"race",
"age",
"en",
"license:mit",
"region:us"
] | null | facebook | null | null | facebook/FairBERTa | 4 | 1,031 | pytorch | 2023-01-31T22:41:23 | ---
language:
- en
license:
- mit
library_name: "pytorch"
multilinguality:
- monolingual
pretty_name: FairBERTa
tags:
- counterfactual
- perturb
- fairness
- nlp
- demographic
- diverse
- gender
- non-binary
- race
- age
metrics:
- bleu
---
# FairBERTa
FairBERTa is the first large language model trained on demographic... | 4,362 | [
[
-0.01020050048828125,
-0.0496826171875,
0.0116729736328125,
0.0283050537109375,
0.0099029541015625,
-0.016357421875,
-0.0287628173828125,
-0.0197601318359375,
-0.0123138427734375,
0.04449462890625,
-0.04083251953125,
-0.04083251953125,
-0.054779052734375,
-0... |
nickprock/sentence-bert-base-italian-xxl-uncased | 2023-03-21T08:19:30.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"it",
"dataset:stsb_multi_mt",
"license:mit",
"endpoints_compatible",
"region:us"
] | sentence-similarity | nickprock | null | null | nickprock/sentence-bert-base-italian-xxl-uncased | 4 | 1,031 | sentence-transformers | 2023-03-21T06:56:02 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: mit
datasets:
- stsb_multi_mt
language:
- it
library_name: sentence-transformers
---
# sentence-bert-base-italian-xxl-cased
This is a [sentence-transformers](https://www.SBERT.net) mo... | 4,153 | [
[
-0.023895263671875,
-0.060760498046875,
0.017333984375,
0.025146484375,
-0.02618408203125,
-0.0286407470703125,
-0.024078369140625,
0.0002092123031616211,
0.022796630859375,
0.025238037109375,
-0.051727294921875,
-0.041748046875,
-0.051849365234375,
-0.00434... |
Kodiks/news-category-classification-turkish | 2022-12-23T09:41:51.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text",
"news-category-classification",
"tr",
"endpoints_compatible",
"region:us"
] | text-classification | Kodiks | null | null | Kodiks/news-category-classification-turkish | 1 | 1,030 | transformers | 2022-12-23T08:30:46 | ---
language:
- tr
tags:
- text # Example: audio
- text-classification # Example: automatic-speech-recognition
- news-category-classification # Example: speech
metrics:
- accuracy # Example: wer. Use metric id from https://hf.co/metrics
- f1
- precision
- recall
---
## INTERPRESS TURKISH NEWS CATEGORY CLASSIFICATI... | 5,898 | [
[
-0.03436279296875,
-0.0307159423828125,
0.0175018310546875,
0.0241546630859375,
-0.035125732421875,
-0.0025501251220703125,
0.01401519775390625,
-0.041717529296875,
0.04595947265625,
0.02130126953125,
-0.033294677734375,
-0.0421142578125,
-0.04620361328125,
... |
beomi/llama-2-ko-70b | 2023-11-03T05:15:12.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"kollama",
"llama-2-ko",
"en",
"ko",
"doi:10.57967/hf/1130",
"license:cc-by-nc-sa-4.0",
"text-generation-inference",
"region:us"
] | text-generation | beomi | null | null | beomi/llama-2-ko-70b | 34 | 1,030 | transformers | 2023-09-08T09:07:57 | ---
extra_gated_heading: Access Llama-2-Ko on Hugging Face
extra_gated_button_content: Submit
extra_gated_fields:
I agree to share my name, email address and username: checkbox
I confirm that I understand this project is for research purposes only, and confirm that I agree to follow the LICENSE of this model: check... | 6,231 | [
[
-0.019287109375,
-0.04931640625,
0.01605224609375,
0.03179931640625,
-0.037628173828125,
0.01458740234375,
-0.01186370849609375,
-0.035003662109375,
0.0235443115234375,
0.02294921875,
-0.04840087890625,
-0.044464111328125,
-0.05938720703125,
0.00823974609375... |
Colorful/RTA | 2022-09-10T14:56:55.000Z | [
"transformers",
"pytorch",
"tf",
"roberta",
"text-classification",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Colorful | null | null | Colorful/RTA | 0 | 1,029 | transformers | 2022-05-05T07:31:32 | ---
license: mit
---
RTA (RepresentThemAll) is a pre-trained language model for bug reports. It can be fine-tuned on all kinds of automated software maintenance tasks associated with bug reports such as bug report summarization, duplicate bug report detection, bug priority prediction, etc. | 291 | [
[
-0.034271240234375,
-0.056427001953125,
0.0143280029296875,
0.0372314453125,
-0.01445770263671875,
-0.0007386207580566406,
0.0073089599609375,
-0.0360107421875,
0.043792724609375,
0.01959228515625,
-0.0499267578125,
-0.029541015625,
-0.031707763671875,
0.007... |
ItsJayQz/Civilizations_6_Diffusion | 2023-01-28T01:05:03.000Z | [
"diffusers",
"safetensors",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ItsJayQz | null | null | ItsJayQz/Civilizations_6_Diffusion | 13 | 1,029 | diffusers | 2022-12-06T18:11:25 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
- diffusers
inference: true
---
### Civilizations 6 Diffusion
This model was trained on the leaders portraits/loading screens, and the splash arts.
However, it was not trained on the gameplay map at all.
To reference the art st... | 2,488 | [
[
-0.037322998046875,
-0.039031982421875,
0.055389404296875,
0.0238494873046875,
-0.00992584228515625,
0.00641632080078125,
0.0124664306640625,
-0.026611328125,
0.0099945068359375,
0.05657958984375,
-0.039276123046875,
-0.05401611328125,
-0.03143310546875,
-0.... |
digiplay/FishMix_v1 | 2023-07-19T20:26:02.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/FishMix_v1 | 1 | 1,028 | diffusers | 2023-07-19T18:06:15 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
https://civitai.com/models/15745?modelVersionId=18583
| 176 | [
[
-0.03131103515625,
0.0116424560546875,
0.0439453125,
0.03729248046875,
-0.0423583984375,
-0.005680084228515625,
0.04693603515625,
-0.00977325439453125,
0.03973388671875,
0.01373291015625,
-0.046966552734375,
0.0018053054809570312,
0.020660400390625,
-0.01522... |
google/mt5-xxl | 2023-01-24T16:37:38.000Z | [
"transformers",
"pytorch",
"tf",
"mt5",
"text2text-generation",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",
"gl",
... | text2text-generation | google | null | null | google/mt5-xxl | 37 | 1,027 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fil
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- hi
- hmn
- ht
- hu
- hy
- ig
- is
- it
- iw
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lb
- lo
- lt
- lv
- mg
- mi
- mk
-... | 2,827 | [
[
-0.0369873046875,
-0.0119171142578125,
0.0203704833984375,
0.0287933349609375,
-0.0205841064453125,
0.0251922607421875,
-0.0268096923828125,
-0.031341552734375,
0.01202392578125,
0.025299072265625,
-0.04913330078125,
-0.0599365234375,
-0.06512451171875,
0.05... |
madlag/bert-base-uncased-squad1.1-block-sparse-0.07-v1 | 2021-05-19T22:31:59.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"question-answering",
"bert-base",
"en",
"dataset:squad",
"arxiv:2005.07683",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | madlag | null | null | madlag/bert-base-uncased-squad1.1-block-sparse-0.07-v1 | 0 | 1,027 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail:
license: mit
tags:
- question-answering
- bert
- bert-base
datasets:
- squad
metrics:
- squad
widget:
- text: "Where is the Eiffel Tower located?"
context: "The Eiffel Tower is a wrought-iron lattice tower on the Champ de Mars in Paris, France. It is named after the engineer Gustave Eiffe... | 3,310 | [
[
-0.0345458984375,
-0.0570068359375,
0.0182037353515625,
0.021453857421875,
-0.019500732421875,
0.0034427642822265625,
-0.0257568359375,
-0.02545166015625,
0.03179931640625,
0.0279998779296875,
-0.07354736328125,
-0.035675048828125,
-0.037689208984375,
-0.015... |
perion/ai-avatar | 2023-08-10T07:55:27.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | perion | null | null | perion/ai-avatar | 4 | 1,027 | diffusers | 2023-02-22T16:05:50 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
Test prompt: Portrait of perion man as thomas shelby in peaky blinders, highly detailed digital painting, artstation, concept art, smooth, sharp focus, illustration
Sample images:
![banner-large.jpeg](https://cdn-uploads.huggingface.co/pro... | 393 | [
[
-0.0261383056640625,
-0.0308990478515625,
0.037384033203125,
0.0228118896484375,
0.001659393310546875,
-0.007293701171875,
0.0245819091796875,
-0.02105712890625,
0.066650390625,
0.04388427734375,
-0.0721435546875,
-0.0223541259765625,
-0.04345703125,
0.02067... |
sazyou-roukaku/LittleStepMix | 2023-07-04T10:47:46.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"ja",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | sazyou-roukaku | null | null | sazyou-roukaku/LittleStepMix | 27 | 1,027 | diffusers | 2023-06-25T06:57:42 | ---
license: creativeml-openrail-m
language:
- ja
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- text-to-image
---
License:[CreativeML Open RAIL-M](https://huggingface.co/sazyou-roukaku/LittleStepMix/blob/main/license_v1.txt)<br>
Additional Copyright: sazyou_roukaku (TwitterID [@sazyou... | 9,469 | [
[
-0.057586669921875,
-0.051300048828125,
0.0284271240234375,
0.0228118896484375,
-0.0333251953125,
-0.00429534912109375,
0.004154205322265625,
-0.048004150390625,
0.05902099609375,
0.009796142578125,
-0.057708740234375,
-0.035125732421875,
-0.043182373046875,
... |
kormilitzin/en_core_med7_lg | 2022-11-19T18:51:30.000Z | [
"spacy",
"token-classification",
"en",
"license:mit",
"model-index",
"has_space",
"region:us"
] | token-classification | kormilitzin | null | null | kormilitzin/en_core_med7_lg | 12 | 1,026 | spacy | 2022-03-02T23:29:05 | ---
tags:
- spacy
- token-classification
language:
- en
license: mit
model-index:
- name: en_core_med7_lg
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8649613325
- name: NER Recall
type: recall
value: 0.... | 1,602 | [
[
-0.0269317626953125,
-0.035552978515625,
0.035736083984375,
-0.00024509429931640625,
-0.038665771484375,
0.0014791488647460938,
-0.019256591796875,
-0.0256500244140625,
0.0185546875,
0.040924072265625,
-0.037017822265625,
-0.0753173828125,
-0.058929443359375,
... |
PlanTL-GOB-ES/bsc-bio-ehr-es | 2022-11-15T16:34:16.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"biomedical",
"clinical",
"ehr",
"spanish",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | PlanTL-GOB-ES | null | null | PlanTL-GOB-ES/bsc-bio-ehr-es | 6 | 1,026 | transformers | 2022-04-08T13:15:59 | ---
language:
- es
tags:
- biomedical
- clinical
- ehr
- spanish
license: apache-2.0
metrics:
- ppl
widget:
- text: "El único antecedente personal a reseñar era la <mask> arterial."
- text: "Las radiologías óseas de cuerpo entero no detectan alteraciones <mask>, ni alteraciones vertebrales."
- text: "En el <mask> to... | 14,805 | [
[
-0.022979736328125,
-0.04010009765625,
0.039794921875,
0.033172607421875,
-0.022247314453125,
0.013397216796875,
-0.0001380443572998047,
-0.041351318359375,
0.048797607421875,
0.0338134765625,
-0.0258331298828125,
-0.0606689453125,
-0.056488037109375,
0.0260... |
mse30/bart-base-finetuned-pubmed | 2021-10-14T15:19:57.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"generated_from_trainer",
"dataset:scientific_papers",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | mse30 | null | null | mse30/bart-base-finetuned-pubmed | 4 | 1,024 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: bart-base-finetuned-pubmed
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: scientific_papers
type: scientific... | 2,170 | [
[
-0.040863037109375,
-0.051422119140625,
0.0172576904296875,
0.01052093505859375,
-0.0156097412109375,
-0.017425537109375,
-0.00972747802734375,
-0.0143890380859375,
0.0307769775390625,
0.034088134765625,
-0.0457763671875,
-0.04876708984375,
-0.043487548828125,
... |
Musixmatch/umberto-commoncrawl-cased-v1 | 2021-02-12T11:31:59.000Z | [
"transformers",
"pytorch",
"camembert",
"fill-mask",
"it",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | Musixmatch | null | null | Musixmatch/umberto-commoncrawl-cased-v1 | 10 | 1,023 | transformers | 2022-03-02T23:29:04 | ---
language: it
---
# UmBERTo Commoncrawl Cased
[UmBERTo](https://github.com/musixmatchresearch/umberto) is a Roberta-based Language Model trained on large Italian Corpora and uses two innovative approaches: SentencePiece and Whole Word Masking. Now available at [github.com/huggingface/transformers](https://huggingf... | 5,534 | [
[
-0.034881591796875,
-0.0309600830078125,
0.0290985107421875,
0.0106048583984375,
-0.020355224609375,
-0.00054931640625,
-0.019012451171875,
-0.02935791015625,
0.0386962890625,
0.0260162353515625,
-0.049468994140625,
-0.0531005859375,
-0.05029296875,
0.015289... |
badmonk/mnatsbki | 2023-07-15T10:47:41.000Z | [
"diffusers",
"tensorboard",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | badmonk | null | null | badmonk/mnatsbki | 1 | 1,023 | diffusers | 2023-07-15T10:43:16 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
# Model Card for MNATSBKI
## Model Description
- **Developed by:** BADMONK
- **Model type:** Dreambooth Model + Extracted LoRA
- **Language(s) (NLP):** EN
- **License:** Creativeml-Openrail-M
- **Parent Model:** majicMIX r... | 434 | [
[
-0.0193634033203125,
-0.03375244140625,
0.0204010009765625,
0.016754150390625,
-0.07183837890625,
0.003261566162109375,
0.028594970703125,
-0.0220184326171875,
0.0504150390625,
0.059417724609375,
-0.062103271484375,
-0.0517578125,
-0.045166015625,
-0.0240173... |
digiplay/OldFish_v1.1mix_hello | 2023-09-20T19:40:33.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/OldFish_v1.1mix_hello | 3 | 1,023 | diffusers | 2023-09-20T18:08:43 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Mix 2 models below:
https://civitai.com/models/23168/hello-world
https://civitai.com/models/14978?modelVersionId=22052
Sample images:
![tmp9ct1zzaa.png](https://cdn-uploads.huggingface.co/produc... | 385 | [
[
-0.053375244140625,
-0.02294921875,
0.0146484375,
0.039520263671875,
-0.0215606689453125,
0.007167816162109375,
0.036712646484375,
-0.056365966796875,
0.055694580078125,
0.044952392578125,
-0.057159423828125,
-0.00882720947265625,
-0.0208587646484375,
-0.016... |
nguyenvulebinh/vi-mrc-large | 2022-03-13T20:53:44.000Z | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"vi",
"vn",
"en",
"dataset:squad",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | nguyenvulebinh | null | null | nguyenvulebinh/vi-mrc-large | 5 | 1,022 | transformers | 2022-03-02T23:29:05 | ---
language:
- vi
- vn
- en
tags:
- question-answering
- pytorch
datasets:
- squad
license: cc-by-nc-4.0
pipeline_tag: question-answering
metrics:
- squad
widget:
- text: "Bình là chuyên gia về gì ?"
context: "Bình Nguyễn là một người đam mê với lĩnh vực xử lý ngôn ngữ tự nhiên . Anh nhận chứng chỉ Google Develope... | 4,509 | [
[
-0.0338134765625,
-0.0670166015625,
0.021026611328125,
0.00525665283203125,
-0.01485443115234375,
0.01378631591796875,
-0.01038360595703125,
-0.0174102783203125,
0.0280609130859375,
0.026214599609375,
-0.05926513671875,
-0.046966552734375,
-0.050628662109375,
... |
timm/maxvit_rmlp_pico_rw_256.sw_in1k | 2023-05-11T00:19:06.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_rmlp_pico_rw_256.sw_in1k | 0 | 1,022 | timm | 2023-01-20T21:33:59 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_rmlp_pico_rw_256.sw_in1k
A timm specific MaxViT (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model. Trained in `timm` on I... | 22,314 | [
[
-0.05218505859375,
-0.0313720703125,
0.0008897781372070312,
0.0302276611328125,
-0.024627685546875,
-0.018218994140625,
-0.010284423828125,
-0.0257415771484375,
0.0526123046875,
0.0155029296875,
-0.042205810546875,
-0.04766845703125,
-0.046875,
-0.0038757324... |
Deci/DeciLM-6b | 2023-10-01T08:11:48.000Z | [
"transformers",
"safetensors",
"text-generation",
"Deci AI",
"DeciLM",
"custom_code",
"en",
"dataset:cerebras/SlimPajama-627B",
"arxiv:2106.09685",
"arxiv:2305.13245",
"arxiv:2104.09864",
"license:llama2",
"license:other",
"model-index",
"has_space",
"region:us"
] | text-generation | Deci | null | null | Deci/DeciLM-6b | 221 | 1,021 | transformers | 2023-09-13T07:20:36 | ---
license: [llama2, other]
datasets:
- cerebras/SlimPajama-627B
language:
- en
pipeline_tag: text-generation
tags:
- Deci AI
- DeciLM
model-index:
- name: DeciLM 6B
results:
- task:
type: text-generation
dataset:
type: ai2/arc
name: ai2_arc
metrics:
- name: ARC Challenge
type: ... | 6,333 | [
[
-0.0328369140625,
-0.04498291015625,
0.01128387451171875,
0.0102081298828125,
-0.0151214599609375,
-0.00543212890625,
-0.0031261444091796875,
-0.033172607421875,
0.01247406005859375,
0.032562255859375,
-0.042266845703125,
-0.05242919921875,
-0.04168701171875,
... |
Msalehi237/Artmis_coca2 | 2023-10-12T22:12:46.000Z | [
"open_clip",
"clip",
"zero-shot-image-classification",
"license:mit",
"region:us"
] | zero-shot-image-classification | Msalehi237 | null | null | Msalehi237/Artmis_coca2 | 0 | 1,021 | open_clip | 2023-10-11T02:48:56 | ---
tags:
- clip
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: mit
---
# Model card for ArtemisCoCa2
Trained on artemis_v0.
No filtering
contrastive-loss-weight 0
coca-caption-loss-weight 1
Weight Decay 0.05
12k * 100 steps.
| 264 | [
[
-0.0025787353515625,
-0.006351470947265625,
0.0234527587890625,
-0.0167694091796875,
-0.04937744140625,
-0.01611328125,
0.05120849609375,
-0.0267486572265625,
0.044525146484375,
0.03521728515625,
-0.05126953125,
-0.04364013671875,
-0.037353515625,
0.00937652... |
castorini/monot5-base-msmarco-10k | 2021-10-17T11:24:22.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | castorini | null | null | castorini/monot5-base-msmarco-10k | 13 | 1,020 | transformers | 2022-03-02T23:29:05 | This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch).
This model usually has a better zero-shot performance than `monot5-base-msmarco`, i.e., it performs better on datasets different from MS MARCO.
For more details on how to use it, check the following links:
- [A sim... | 803 | [
[
-0.01092529296875,
-0.041595458984375,
0.028564453125,
-0.004146575927734375,
-0.03033447265625,
-0.0018110275268554688,
0.0012998580932617188,
-0.0178070068359375,
0.0227813720703125,
0.032196044921875,
-0.040374755859375,
-0.05426025390625,
-0.047332763671875,... |
ThomasNLG/t5-qa_squad2neg-en | 2021-07-09T07:44:39.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"qa",
"question",
"answering",
"SQuAD",
"metric",
"nlg",
"t5-small",
"en",
"dataset:squad_v2",
"arxiv:2103.12693",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region... | text2text-generation | ThomasNLG | null | null | ThomasNLG/t5-qa_squad2neg-en | 0 | 1,019 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- qa
- question
- answering
- SQuAD
- metric
- nlg
- t5-small
license: mit
datasets:
- squad_v2
model-index:
- name: t5-qa_squad2neg-en
results:
- task:
name: Question Answering
type: extractive-qa
widget:
- text: "Who was Louis 14? </s> Louis 14 was a French King."
---
# t5-... | 1,737 | [
[
-0.01139068603515625,
-0.040313720703125,
0.03460693359375,
0.01332855224609375,
-0.0128173828125,
-0.0010938644409179688,
0.01153564453125,
-0.010040283203125,
0.00479888916015625,
0.01163482666015625,
-0.08160400390625,
-0.040069580078125,
-0.0208282470703125,... |
openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf | 2023-09-20T04:29:46.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"openthaigpt",
"th",
"en",
"dataset:kobkrit/rd-taxqa",
"dataset:iapp_wiki_qa_squad",
"dataset:Thaweewat/alpaca-cleaned-52k-th",
"dataset:Thaweewat/instruction-wild-52k-th",
"dataset:Thaweewat/databricks-dolly-15k-th",
"dataset:Thaweewat/... | text-generation | openthaigpt | null | null | openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf | 3 | 1,019 | transformers | 2023-08-14T14:08:19 | ---
license: apache-2.0
datasets:
- kobkrit/rd-taxqa
- iapp_wiki_qa_squad
- Thaweewat/alpaca-cleaned-52k-th
- Thaweewat/instruction-wild-52k-th
- Thaweewat/databricks-dolly-15k-th
- Thaweewat/hc3-24k-th
- Thaweewat/gpteacher-20k-th
- Thaweewat/onet-m6-social
- Thaweewat/alpaca-finance-43k-th
language:
- th
- en
library... | 3,860 | [
[
-0.039642333984375,
-0.05181884765625,
0.00676727294921875,
0.005809783935546875,
-0.033660888671875,
0.00841522216796875,
-0.0152740478515625,
-0.036834716796875,
0.04168701171875,
0.0234832763671875,
-0.032073974609375,
-0.0421142578125,
-0.036346435546875,
... |
PharMolix/BioMedGPT-LM-7B | 2023-08-30T04:11:33.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"medical",
"dataset:biomed",
"arxiv:2308.09442",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | PharMolix | null | null | PharMolix/BioMedGPT-LM-7B | 28 | 1,018 | transformers | 2023-08-11T11:28:35 | ---
license: apache-2.0
tags:
- medical
datasets:
- biomed
---
# BioMedGPT-LM-7B
**BioMedGPT-LM-7B** is the first large generative language model based on Llama2 in the biomedical domain.
It was fine-tuned from the Llama2-7B-Chat with millions of biomedical papers from the [S2ORC corpus](https://github.com/allenai/s2o... | 2,544 | [
[
-0.0267181396484375,
-0.05657958984375,
0.053131103515625,
0.0073394775390625,
-0.043548583984375,
-0.002407073974609375,
-0.004474639892578125,
-0.036712646484375,
0.0113525390625,
0.036590576171875,
-0.03497314453125,
-0.057952880859375,
-0.0599365234375,
... |
Yntec/DucHaiten-GoldenLife | 2023-09-10T01:23:59.000Z | [
"diffusers",
"Anime",
"3D",
"Pixar",
"DucHaiten",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/DucHaiten-GoldenLife | 0 | 1,017 | diffusers | 2023-09-09T18:03:53 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- 3D
- Pixar
- DucHaiten
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# DucHaiten Golden Life
Support the creator at https://linktr.ee/Duc_Haiten
Sample and prompt:
... | 793 | [
[
-0.036376953125,
-0.07098388671875,
0.0268402099609375,
0.032379150390625,
-0.026580810546875,
-0.027099609375,
0.029205322265625,
-0.02032470703125,
0.0772705078125,
0.051361083984375,
-0.07183837890625,
-0.04913330078125,
-0.035003662109375,
-0.00041651725... |
anakin87/electra-italian-xxl-cased-squad-it | 2023-03-16T17:21:47.000Z | [
"transformers",
"pytorch",
"safetensors",
"electra",
"question-answering",
"italian",
"squad_it",
"it",
"dataset:squad_it",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | anakin87 | null | null | anakin87/electra-italian-xxl-cased-squad-it | 7 | 1,016 | transformers | 2023-01-31T07:50:26 | ---
datasets:
- squad_it
metrics:
- squad
language:
- it
license: apache-2.0
tags:
- italian
- squad_it
- question-answering
widget:
- text: Qual è il soprannome di Vasco Rossi?
context: >-
Vasco Rossi, noto anche semplicemente come Vasco e in passato con
l'appellativo Blasco (Zocca, 7 febbraio 1952), è un c... | 9,737 | [
[
-0.04901123046875,
-0.054290771484375,
0.01336669921875,
-0.0090789794921875,
-0.0065765380859375,
0.016021728515625,
-0.004787445068359375,
-0.0259552001953125,
0.04742431640625,
0.0041656494140625,
-0.056182861328125,
-0.037017822265625,
-0.032135009765625,
... |
joachimsallstrom/aether-cloud-lora-for-sdxl | 2023-09-06T14:17:02.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:other",
"has_space",
"region:us"
] | text-to-image | joachimsallstrom | null | null | joachimsallstrom/aether-cloud-lora-for-sdxl | 3 | 1,016 | diffusers | 2023-09-06T14:16:50 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt:
widget:
- text:
---
# Aether Cloud - LoRA for SDXL
<p>This is <strong>Aether Cloud</strong> - a cloud based subject and object Lo... | 1,068 | [
[
-0.0439453125,
-0.059326171875,
0.0303497314453125,
0.0227203369140625,
-0.037353515625,
-0.02142333984375,
0.016998291015625,
-0.04962158203125,
0.045257568359375,
0.0548095703125,
-0.043426513671875,
-0.0255126953125,
-0.046539306640625,
-0.00946044921875,... |
Yntec/OpenLexica | 2023-08-13T19:24:10.000Z | [
"diffusers",
"anime",
"art",
"general",
"MichaelFan",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/OpenLexica | 0 | 1,015 | diffusers | 2023-08-13T18:44:51 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anime
- art
- general
- MichaelFan
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# Open Lexica
Sample images and prompt:
![Sample](https://cdn-uploads.huggingface.co/product... | 827 | [
[
-0.037567138671875,
-0.0604248046875,
0.03253173828125,
0.0016183853149414062,
-0.0276641845703125,
-0.004665374755859375,
-0.00629425048828125,
-0.03619384765625,
0.0714111328125,
0.02911376953125,
-0.047943115234375,
-0.07171630859375,
-0.03143310546875,
0... |
mrm8488/bert-tiny-finetuned-enron-spam-detection | 2023-03-17T18:20:39.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"spam",
"spam detection",
"dataset:SetFit/enron_spam",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | mrm8488 | null | null | mrm8488/bert-tiny-finetuned-enron-spam-detection | 7 | 1,012 | transformers | 2022-10-21T11:33:57 | ---
license: apache-2.0
lang:
- en
tags:
- generated_from_trainer
- spam
- spam detection
metrics:
- precision
- recall
- accuracy
- f1
datasets:
- SetFit/enron_spam
model-index:
- name: bert-tiny-finetuned-enron-spam-detection
results: []
widget:
- text: "buy online and save viagra price for this high demand med ... | 2,710 | [
[
-0.04876708984375,
-0.058135986328125,
0.01422119140625,
-0.0035552978515625,
-0.01308441162109375,
-0.024383544921875,
-0.00762939453125,
-0.024993896484375,
0.0167083740234375,
0.031219482421875,
-0.054779052734375,
-0.040069580078125,
-0.058868408203125,
... |
timm/resnet200d.ra2_in1k | 2023-04-05T18:40:46.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1512.03385",
"arxiv:1812.01187",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnet200d.ra2_in1k | 0 | 1,012 | timm | 2023-04-05T18:40:03 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnet200d.ra2_in1k
A ResNet-D image classification model.
This model features:
* ReLU activations
* 3-layer stem of 3x3 convolutions with pooling
* 2x2 average pool + 1x1 convolution shortcut downsample
Trained on ... | 39,094 | [
[
-0.063232421875,
-0.018157958984375,
0.0024852752685546875,
0.0277252197265625,
-0.0293121337890625,
-0.0094146728515625,
-0.009490966796875,
-0.03155517578125,
0.080078125,
0.0225372314453125,
-0.0489501953125,
-0.0390625,
-0.048797607421875,
0.000372648239... |
patrickvonplaten/wav2vec2-large-xlsr-53-spanish-with-lm | 2021-12-10T15:49:13.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"es",
"dataset:common_voice",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | patrickvonplaten | null | null | patrickvonplaten/wav2vec2-large-xlsr-53-spanish-with-lm | 8 | 1,010 | transformers | 2022-03-02T23:29:05 | ---
language: es
datasets:
- common_voice
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
---
# Wav2Vec2-Large-XLSR-53-Spanish-With-LM
This is a model copy of [Wav2Vec2-Large-XLSR-53-Spanish](https://huggingface.co/jonatasgrosman/wav2vec2-large-xl... | 2,363 | [
[
-0.03070068359375,
-0.0251617431640625,
0.004230499267578125,
0.0291290283203125,
-0.003002166748046875,
0.0029926300048828125,
-0.03857421875,
-0.042755126953125,
0.0016536712646484375,
0.03826904296875,
-0.047119140625,
-0.037567138671875,
-0.043548583984375,
... |
facebook/esm2_t48_15B_UR50D | 2022-12-01T18:12:44.000Z | [
"transformers",
"pytorch",
"esm",
"fill-mask",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | facebook | null | null | facebook/esm2_t48_15B_UR50D | 12 | 1,010 | transformers | 2022-09-26T14:29:59 | ---
license: mit
widget:
- text: "MQIFVKTLTGKTITLEVEPS<mask>TIENVKAKIQDKEGIPPDQQRLIFAGKQLEDGRTLSDYNIQKESTLHLVLRLRGG"
---
## ESM-2
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It is suitable for fine-tuning on a wide range of tasks that take protein sequences as input. F... | 1,705 | [
[
-0.0298309326171875,
-0.041015625,
0.023773193359375,
0.0173492431640625,
-0.0149078369140625,
0.004993438720703125,
0.0099334716796875,
-0.03546142578125,
0.01806640625,
0.028533935546875,
-0.056793212890625,
-0.03656005859375,
-0.064208984375,
0.0057144165... |
timm/efficientnet_el.ra_in1k | 2023-04-27T21:11:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2003.02838",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_el.ra_in1k | 0 | 1,010 | timm | 2022-12-12T23:57:41 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_el.ra_in1k
A EfficientNet-EdgeTPU image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Ins... | 5,021 | [
[
-0.0309906005859375,
-0.03997802734375,
-0.00827789306640625,
0.003910064697265625,
-0.016448974609375,
-0.033355712890625,
-0.0208892822265625,
-0.0290069580078125,
0.0186309814453125,
0.0255279541015625,
-0.03118896484375,
-0.04315185546875,
-0.05413818359375,... |
nghuyong/ernie-2.0-base-en | 2022-09-10T09:32:25.000Z | [
"transformers",
"pytorch",
"ernie",
"feature-extraction",
"en",
"arxiv:1907.12412",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | nghuyong | null | null | nghuyong/ernie-2.0-base-en | 14 | 1,008 | transformers | 2022-03-02T23:29:05 | ---
language: en
---
# ERNIE-2.0
## Introduction
ERNIE 2.0 is a continual pre-training framework proposed by Baidu in 2019,
which builds and learns incrementally pre-training tasks through constant multi-task learning.
Experimental results demonstrate that ERNIE 2.0 outperforms BERT and XLNet on 16 tasks including... | 1,322 | [
[
-0.0140533447265625,
-0.04559326171875,
-0.00688934326171875,
0.03204345703125,
-0.018798828125,
-0.0229949951171875,
-0.03253173828125,
-0.042205810546875,
0.00199127197265625,
0.0156402587890625,
-0.0400390625,
-0.01465606689453125,
-0.054443359375,
-0.012... |
TencentGameMate/chinese-hubert-large | 2022-06-24T01:57:26.000Z | [
"transformers",
"pytorch",
"hubert",
"feature-extraction",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | TencentGameMate | null | null | TencentGameMate/chinese-hubert-large | 18 | 1,008 | transformers | 2022-06-02T06:22:33 | ---
license: mit
---
Pretrained on 10k hours WenetSpeech L subset. More details in [TencentGameMate/chinese_speech_pretrain](https://github.com/TencentGameMate/chinese_speech_pretrain)
This model does not have a tokenizer as it was pretrained on audio alone.
In order to use this model speech recognition, a tokenizer... | 1,190 | [
[
-0.00858306884765625,
-0.0204620361328125,
0.019744873046875,
0.02447509765625,
-0.02252197265625,
-0.006763458251953125,
-0.0247039794921875,
-0.028411865234375,
-0.005401611328125,
0.01282501220703125,
-0.058135986328125,
-0.033538818359375,
-0.03448486328125,... |
timm/convnext_pico.d1_in1k | 2023-03-31T22:32:53.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_pico.d1_in1k | 0 | 1,008 | timm | 2022-12-13T07:12:40 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_pico.d1_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mod... | 15,627 | [
[
-0.0670166015625,
-0.0323486328125,
-0.0033721923828125,
0.03643798828125,
-0.032684326171875,
-0.0140380859375,
-0.01025390625,
-0.034332275390625,
0.06549072265625,
0.016326904296875,
-0.044586181640625,
-0.042205810546875,
-0.051513671875,
-0.001505851745... |
timm/swinv2_large_window12to24_192to384.ms_in22k_ft_in1k | 2023-03-18T03:36:35.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2111.09883",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swinv2_large_window12to24_192to384.ms_in22k_ft_in1k | 0 | 1,008 | timm | 2023-03-18T03:35:22 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for swinv2_large_window12to24_192to384.ms_in22k_ft_in1k
A Swin Transformer V2 image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model ... | 4,567 | [
[
-0.032623291015625,
-0.0296478271484375,
-0.0068511962890625,
0.01324462890625,
-0.0246124267578125,
-0.03173828125,
-0.021942138671875,
-0.03955078125,
0.0005726814270019531,
0.0289306640625,
-0.038299560546875,
-0.040679931640625,
-0.045989990234375,
-0.02... |
timm/resnetrs152.tf_in1k | 2023-04-05T18:47:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2103.07579",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnetrs152.tf_in1k | 0 | 1,008 | timm | 2023-04-05T18:46:38 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnetrs152.tf_in1k
A ResNetRS-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k by paper ... | 38,371 | [
[
-0.06475830078125,
-0.016693115234375,
0.002193450927734375,
0.030120849609375,
-0.032073974609375,
-0.00774383544921875,
-0.00968170166015625,
-0.030029296875,
0.0858154296875,
0.0197601318359375,
-0.04754638671875,
-0.0386962890625,
-0.0469970703125,
-0.00... |
artificialguybr/ColoringBookRedmond | 2023-10-07T20:56:44.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/ColoringBookRedmond | 8 | 1,008 | diffusers | 2023-08-28T15:46:42 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: ColoringBookAF
widget:
- text: ColoringBookAF
---
# ColoringBook.Redmond
ColoringBook.Redmond is here!
DOWNLOAD V2 HERE: ... | 1,262 | [
[
-0.0308990478515625,
-0.044219970703125,
0.004970550537109375,
0.04046630859375,
-0.0271759033203125,
-0.01312255859375,
0.007404327392578125,
-0.0677490234375,
0.0650634765625,
0.033966064453125,
-0.04559326171875,
-0.036651611328125,
-0.01050567626953125,
... |
KoboldAI/GPT-Neo-2.7B-Picard | 2023-08-22T23:47:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neo",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/GPT-Neo-2.7B-Picard | 7 | 1,006 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: mit
---
# GPT-Neo 2.7B - Picard
## Model Description
GPT-Neo 2.7B-Picard is a finetune created using EleutherAI's GPT-Neo 2.7B model.
## Training data
The training data contains around 1800 ebooks, mostly in the sci-fi and fantasy genres.
### How to use
You can use this model directly with a p... | 2,337 | [
[
-0.022857666015625,
-0.059356689453125,
0.026458740234375,
0.000354766845703125,
-0.0199737548828125,
-0.01413726806640625,
-0.006404876708984375,
-0.03546142578125,
0.00749969482421875,
0.034759521484375,
-0.0290985107421875,
-0.0248870849609375,
-0.04919433593... |
stablediffusionapi/toonyou | 2023-07-15T08:31:37.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/toonyou | 7 | 1,006 | diffusers | 2023-06-19T18:01:47 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# ToonYou API Inference
## Get API Key
Get API key from ... | 2,416 | [
[
-0.0310821533203125,
-0.0587158203125,
0.042694091796875,
0.0194244384765625,
-0.03399658203125,
-0.0038776397705078125,
0.0239410400390625,
-0.035430908203125,
0.051849365234375,
0.048797607421875,
-0.06103515625,
-0.056732177734375,
-0.031982421875,
-0.002... |
nayohan/polyglot-ko-5.8b-Inst-All | 2023-10-26T10:42:45.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"polyglot-ko",
"gpt-neox",
"KoQuality",
"ko",
"dataset:DILAB-HYU/KoQuality",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | nayohan | null | null | nayohan/polyglot-ko-5.8b-Inst-All | 0 | 1,006 | transformers | 2023-10-24T03:07:08 | ---
license: apache-2.0
datasets:
- DILAB-HYU/KoQuality
language:
- ko
pipeline_tag: text-generation
tags:
- polyglot-ko
- gpt-neox
- KoQuality
base_model: EleutherAI/polyglot-ko-5.8b
---
This model is a instruct-tuned poylglot-ko-5.8b model, using full [Kullm, OIG, KoAlpaca] Instruction dataset.
koquality_raw.json ->... | 732 | [
[
-0.033538818359375,
-0.068359375,
0.0279388427734375,
0.004795074462890625,
-0.042388916015625,
-0.005802154541015625,
-0.0028476715087890625,
-0.016204833984375,
-0.00342559814453125,
0.032073974609375,
-0.0496826171875,
-0.034515380859375,
-0.03680419921875,
... |
valhalla/longformer-base-4096-finetuned-squadv1 | 2021-02-10T16:35:40.000Z | [
"transformers",
"pytorch",
"tf",
"rust",
"longformer",
"question-answering",
"dataset:squad_v1",
"arxiv:2004.05150",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | valhalla | null | null | valhalla/longformer-base-4096-finetuned-squadv1 | 19 | 1,005 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- squad_v1
license: mit
---
# LONGFORMER-BASE-4096 fine-tuned on SQuAD v1
This is longformer-base-4096 model fine-tuned on SQuAD v1 dataset for question answering task.
[Longformer](https://arxiv.org/abs/2004.05150) model created by Iz Beltagy, Matthew E. Peters, Arman Coha from AllenAI. As the paper... | 2,963 | [
[
-0.035797119140625,
-0.06292724609375,
0.0227203369140625,
0.0369873046875,
-0.0074615478515625,
0.0015764236450195312,
-0.01232147216796875,
-0.035247802734375,
0.029541015625,
0.034820556640625,
-0.058441162109375,
-0.030059814453125,
-0.037750244140625,
0... |
timm/swinv2_small_window16_256.ms_in1k | 2023-03-18T03:37:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swinv2_small_window16_256.ms_in1k | 0 | 1,005 | timm | 2023-03-18T03:36:57 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for swinv2_small_window16_256.ms_in1k
A Swin Transformer V2 image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbon... | 4,409 | [
[
-0.031982421875,
-0.028167724609375,
-0.00838470458984375,
0.0120697021484375,
-0.02520751953125,
-0.03466796875,
-0.019989013671875,
-0.038909912109375,
0.0012216567993164062,
0.0287017822265625,
-0.039093017578125,
-0.04046630859375,
-0.045440673828125,
-0... |
timm/mixnet_m.ft_in1k | 2023-04-27T21:13:44.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1907.09595",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mixnet_m.ft_in1k | 0 | 1,004 | timm | 2022-12-12T23:59:39 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mixnet_m.ft_in1k
A MixNet image classification model. Fine-tuned on ImageNet-1k from original Tensorflow "SAME" padding weights for use in PyTorch.
## Model Details
- **Model Type:** Image clas... | 3,919 | [
[
-0.045318603515625,
-0.04119873046875,
-0.0063018798828125,
0.0162353515625,
-0.027618408203125,
-0.02288818359375,
-0.01233673095703125,
-0.0330810546875,
0.0306854248046875,
0.0249786376953125,
-0.034576416015625,
-0.052215576171875,
-0.05419921875,
-0.015... |
Yntec/samaritan3dCartoon2MVAE | 2023-08-07T11:14:21.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"3D",
"art",
"style",
"checkpoint",
"PromptSharingSamaritan",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/samaritan3dCartoon2MVAE | 1 | 1,004 | diffusers | 2023-08-07T10:18:54 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
thumbnail: https://cdn-uploads.huggingface.co/production/uploads/63239b8370edc53f51cd5d42/0MGXGAxBpd-qDBWPYnWhR.png
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- 3D
- art
- style
- checkpoint
... | 1,070 | [
[
-0.00811004638671875,
-0.0288543701171875,
0.038970947265625,
0.033172607421875,
-0.03741455078125,
-0.008453369140625,
0.043670654296875,
-0.01226806640625,
0.05615234375,
0.0634765625,
-0.028564453125,
-0.01308441162109375,
-0.04718017578125,
-0.0124816894... |
RUCAIBox/elmer | 2022-10-27T21:30:13.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"text-generation",
"non-autoregressive-generation",
"early-exit",
"en",
"arxiv:2210.13304",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-generation | RUCAIBox | null | null | RUCAIBox/elmer | 3 | 1,003 | transformers | 2022-10-27T21:14:19 | ---
license: apache-2.0
language:
- en
tags:
- text-generation
- non-autoregressive-generation
- early-exit
---
# ELMER
The ELMER model was proposed in [**ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation**](https://arxiv.org/abs/2210.13304) by Junyi Li, Tianyi Tang, Wa... | 2,138 | [
[
-0.02362060546875,
-0.06414794921875,
0.0200653076171875,
0.01385498046875,
-0.010498046875,
-0.0045318603515625,
0.001453399658203125,
-0.0299072265625,
-0.0005435943603515625,
0.045135498046875,
-0.041961669921875,
-0.025146484375,
-0.03533935546875,
0.017... |
digiplay/KawaiiRealisticAnimeMix_A0.3 | 2023-07-29T19:14:25.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/KawaiiRealisticAnimeMix_A0.3 | 2 | 1,003 | diffusers | 2023-07-29T18:46:32 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/104100?modelVersionId=128610
Sample image and prompt :
1girl, anime key visual, outdoor,vibrant color,very close-up,tiny smile
![b916088a-20fc-4c50-a7f0-e35... | 445 | [
[
-0.036041259765625,
-0.031219482421875,
0.0213623046875,
0.0241851806640625,
-0.0159759521484375,
-0.0201263427734375,
0.0226898193359375,
-0.0159149169921875,
0.05633544921875,
0.02386474609375,
-0.08160400390625,
-0.031646728515625,
-0.0202484130859375,
-0... |
sue3489/test2_kullm-polyglot-5.8b-v2-koalpaca-v1.1b | 2023-10-05T02:22:28.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | sue3489 | null | null | sue3489/test2_kullm-polyglot-5.8b-v2-koalpaca-v1.1b | 0 | 1,003 | transformers | 2023-09-01T00:56:45 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: test2_kullm-polyglot-5.8b-v2-koalpaca-v1.1b
results: []
datasets:
- beomi/KoAlpaca-v1.1a
language:
- ko
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 1,022 | [
[
-0.041473388671875,
-0.058349609375,
0.0164794921875,
0.02642822265625,
-0.035675048828125,
-0.0082244873046875,
-0.00441741943359375,
-0.038330078125,
0.0174560546875,
0.0291595458984375,
-0.037200927734375,
-0.0306396484375,
-0.06011962890625,
0.0013875961... |
timm/maxvit_small_tf_384.in1k | 2023-05-11T00:21:44.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_small_tf_384.in1k | 0 | 1,002 | timm | 2022-12-02T21:56:33 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_small_tf_384.in1k
An official MaxViT image classification model. Trained in tensorflow on ImageNet-1k by paper authors.
Ported from official Tensorflow implementation (https://github.com/g... | 22,113 | [
[
-0.0528564453125,
-0.0303955078125,
0.0019073486328125,
0.0296478271484375,
-0.024749755859375,
-0.01837158203125,
-0.01190948486328125,
-0.0245819091796875,
0.0557861328125,
0.015960693359375,
-0.04168701171875,
-0.045745849609375,
-0.047149658203125,
-0.00... |
Maseshi/Anything-v3.0 | 2023-01-28T13:04:40.000Z | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Maseshi | null | null | Maseshi/Anything-v3.0 | 19 | 1,002 | diffusers | 2023-01-25T10:56:46 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
duplicated_from: Linaqruf/anything-v3.0
---
### Duplicated from [Linaqruf/anything-v3.0](https://huggingface.co/Linaqruf/anything-v3.0)
This repository is not original. Bu... | 3,577 | [
[
-0.0352783203125,
-0.06243896484375,
0.0347900390625,
0.037261962890625,
-0.019805908203125,
-0.0404052734375,
0.0209808349609375,
-0.03143310546875,
0.01934814453125,
0.03680419921875,
-0.04864501953125,
-0.04498291015625,
-0.046722412109375,
-0.01864624023... |
Prgckwb/trpfrog-diffusion | 2023-01-27T13:20:22.000Z | [
"diffusers",
"pytorch",
"stable-diffusion",
"text-to-image",
"diffusion-models-class",
"dreambooth-hackathon",
"wildcard",
"dataset:TrpFrog/trpfrog-icons",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Prgckwb | null | null | Prgckwb/trpfrog-diffusion | 8 | 1,001 | diffusers | 2022-12-29T18:25:45 |
---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- wildcard
datasets:
- TrpFrog/trpfrog-icons
widget:
- text: a photo of trpfrog
---
# DreamBooth model for the trpfrog concept trained by Prgckwb on the TrpFrog/trpfrog-ic... | 1,734 | [
[
-0.0248565673828125,
-0.04852294921875,
0.013763427734375,
0.0136260986328125,
-0.0347900390625,
0.0081939697265625,
0.007175445556640625,
-0.0133056640625,
0.0246734619140625,
0.03533935546875,
-0.0355224609375,
-0.056488037109375,
-0.042144775390625,
-0.01... |
Salesforce/codegen-2B-multi | 2022-10-03T16:18:49.000Z | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"arxiv:2203.13474",
"license:bsd-3-clause",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | Salesforce | null | null | Salesforce/codegen-2B-multi | 33 | 1,000 | transformers | 2022-04-11T23:18:25 | ---
license: bsd-3-clause
---
# CodeGen (CodeGen-Multi 2B)
## Model description
CodeGen is a family of autoregressive language models for **program synthesis** from the paper: [A Conversational Paradigm for Program Synthesis](https://arxiv.org/abs/2203.13474) by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan W... | 3,059 | [
[
-0.03338623046875,
-0.046630859375,
0.0020885467529296875,
0.0287017822265625,
0.00458526611328125,
0.0272216796875,
-0.0270843505859375,
-0.03045654296875,
-0.014617919921875,
0.01910400390625,
-0.04132080078125,
-0.040069580078125,
-0.0318603515625,
0.0033... |
timm/convnextv2_tiny.fcmae | 2023-03-31T23:40:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_tiny.fcmae | 1 | 1,000 | timm | 2023-01-05T01:56:19 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
---
# Model card for convnextv2_tiny.fcmae
A ConvNeXt-V2 self-supervised feature representation model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE). This model has no pretrained head and is only useful for fin... | 15,742 | [
[
-0.07000732421875,
-0.031402587890625,
-0.003467559814453125,
0.037139892578125,
-0.031219482421875,
-0.0162353515625,
-0.01302337646484375,
-0.034912109375,
0.06658935546875,
0.017852783203125,
-0.045135498046875,
-0.0384521484375,
-0.0526123046875,
-0.0044... |
Jade1211/textual_inversion_bear | 2023-08-11T18:08:02.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"textual_inversion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Jade1211 | null | null | Jade1211/textual_inversion_bear | 0 | 1,000 | diffusers | 2023-08-11T17:01:26 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- textual_inversion
inference: true
---
# Textual inversion text2image fine-tuning - Jade1211/textual_inversion_bear
These are textual inversion adaption ... | 418 | [
[
-0.006107330322265625,
-0.05438232421875,
0.0273284912109375,
0.03704833984375,
-0.026947021484375,
-0.0034332275390625,
0.01605224609375,
0.005840301513671875,
0.00199127197265625,
0.05682373046875,
-0.058807373046875,
-0.02581787109375,
-0.051788330078125,
... |
NikhilSanjayAI/a-candle | 2023-10-25T17:25:33.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | NikhilSanjayAI | null | null | NikhilSanjayAI/a-candle | 0 | 1,000 | diffusers | 2023-10-25T17:21:02 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### A-candle Dreambooth model trained by NikhilSanjayAI following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: ASET-238
Sample pictures of this concept:
![0](https://huggingface... | 404 | [
[
-0.021942138671875,
-0.04083251953125,
0.0369873046875,
0.009185791015625,
-0.01354217529296875,
0.03692626953125,
0.0211029052734375,
-0.0303497314453125,
0.033203125,
0.03131103515625,
-0.058746337890625,
-0.042205810546875,
-0.020416259765625,
0.003435134... |
pysentimiento/robertuito-hate-speech | 2023-02-20T19:04:44.000Z | [
"pysentimiento",
"pytorch",
"roberta",
"twitter",
"hate-speech",
"es",
"arxiv:2106.09462",
"region:us"
] | null | pysentimiento | null | null | pysentimiento/robertuito-hate-speech | 6 | 999 | pysentimiento | 2022-03-02T23:29:05 | ---
language:
- es
library_name: pysentimiento
tags:
- twitter
- hate-speech
---
# Hate Speech detection in Spanish
## robertuito-hate-speech
Repository: [https://github.com/pysentimiento/pysentimiento/](https://github.com/finiteautomata/pysentimiento/)
Model trained with SemEval 2019 Task 5: HatEval (SubTa... | 4,367 | [
[
-0.0244598388671875,
-0.05303955078125,
0.01543426513671875,
0.0276031494140625,
-0.0175933837890625,
0.0167388916015625,
-0.03662109375,
-0.047943115234375,
0.034271240234375,
0.027557373046875,
-0.0433349609375,
-0.059417724609375,
-0.07476806640625,
0.006... |
osiria/distilbert-italian-cased-ner | 2023-06-11T11:07:45.000Z | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"token-classification",
"it",
"arxiv:1910.01108",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | osiria | null | null | osiria/distilbert-italian-cased-ner | 2 | 999 | transformers | 2023-06-01T16:12:27 | ---
license: apache-2.0
language:
- it
widget:
- text: "Mi chiamo Marco Rossi, vivo a Roma e lavoro per l'Agenzia Spaziale Italiana"
example_title: "Example 1"
---
--------------------------------------------------------------------------------------------------
<body>
<span class="vertical-text" style="background-... | 4,602 | [
[
-0.0357666015625,
-0.048309326171875,
0.0235443115234375,
0.01348114013671875,
-0.0095367431640625,
-0.00496673583984375,
-0.01451873779296875,
-0.035614013671875,
0.027618408203125,
0.0010471343994140625,
-0.0400390625,
-0.0504150390625,
-0.05810546875,
0.0... |
artificialguybr/TshirtDesignRedmond | 2023-10-07T22:01:04.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/TshirtDesignRedmond | 6 | 999 | diffusers | 2023-08-22T23:25:24 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: TshirtDesignAF
widget:
- text: TshirtDesignAF
---
# TShirtDesign.Redmond
TShirtDesign.Redmond is here!
DOWNLOAD V2 HERE... | 1,356 | [
[
-0.03460693359375,
-0.0816650390625,
0.0218048095703125,
0.038787841796875,
-0.0550537109375,
0.023773193359375,
0.006561279296875,
-0.07403564453125,
0.08734130859375,
0.030975341796875,
-0.06829833984375,
-0.032196044921875,
-0.017852783203125,
-0.01379394... |
Jiva/xlm-roberta-large-it-mnli | 2023-05-22T09:22:29.000Z | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"text-classification",
"tensorflow",
"zero-shot-classification",
"it",
"dataset:multi_nli",
"dataset:glue",
"arxiv:1911.02116",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | Jiva | null | null | Jiva/xlm-roberta-large-it-mnli | 6 | 998 | transformers | 2022-03-02T23:29:04 | ---
language: it
license: mit
tags:
- text-classification
- pytorch
- tensorflow
datasets:
- multi_nli
- glue
pipeline_tag: zero-shot-classification
widget:
- text: La seconda guerra mondiale vide contrapporsi, tra il 1939 e il 1945, le cosiddette
potenze dell'Asse e gli Alleati che, come già accaduto ai belligeran... | 10,194 | [
[
-0.0294647216796875,
-0.031494140625,
0.024871826171875,
0.0027217864990234375,
-0.0202484130859375,
-0.020599365234375,
-0.01397705078125,
-0.0184173583984375,
0.0230255126953125,
0.029205322265625,
-0.02490234375,
-0.052764892578125,
-0.0518798828125,
0.02... |
google/t5-efficient-base-nl24 | 2023-01-24T16:45:26.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"deep-narrow",
"en",
"dataset:c4",
"arxiv:2109.10686",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | google | null | null | google/t5-efficient-base-nl24 | 1 | 998 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-BASE-NL24 (Deep-Narrow version)
T5-Efficient-BASE-NL24 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architectur... | 6,349 | [
[
-0.04034423828125,
-0.045654296875,
0.022491455078125,
0.0181732177734375,
-0.01445770263671875,
0.0040130615234375,
-0.0126953125,
-0.037322998046875,
0.002536773681640625,
0.029754638671875,
-0.036163330078125,
-0.040740966796875,
-0.06219482421875,
0.0115... |
BAAI/bge-small-zh | 2023-10-12T03:37:29.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"zh",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | BAAI | null | null | BAAI/bge-small-zh | 11 | 997 | transformers | 2023-08-05T08:03:22 | ---
license: mit
language:
- zh
---
**Recommend switching to newest [BAAI/bge-small-zh-v1.5](https://huggingface.co/BAAI/bge-small-zh-v1.5), which has more reasonable similarity distribution and same method of usage.**
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Mo... | 27,349 | [
[
-0.036529541015625,
-0.067138671875,
0.02978515625,
0.01000213623046875,
-0.0301971435546875,
-0.022003173828125,
-0.0255584716796875,
-0.021759033203125,
0.0292205810546875,
0.0247039794921875,
-0.02740478515625,
-0.0633544921875,
-0.03662109375,
-0.0036144... |
Jade1211/textual_inversion_bluecar | 2023-08-11T18:08:29.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"textual_inversion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Jade1211 | null | null | Jade1211/textual_inversion_bluecar | 0 | 997 | diffusers | 2023-08-11T15:55:11 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- textual_inversion
inference: true
---
# Textual inversion text2image fine-tuning - Jade1211/textual_inversion_bluecar
These are textual inversion adapti... | 421 | [
[
-0.003322601318359375,
-0.04620361328125,
0.02764892578125,
0.039825439453125,
-0.027099609375,
-0.0021076202392578125,
0.01033782958984375,
0.004764556884765625,
-0.00510406494140625,
0.050689697265625,
-0.057281494140625,
-0.02337646484375,
-0.037384033203125,... |
TheBloke/Yarn-Mistral-7B-128k-AWQ | 2023-11-02T22:43:27.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"custom_code",
"en",
"dataset:emozilla/yarn-train-tokenized-16k-mistral",
"arxiv:2309.00071",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Yarn-Mistral-7B-128k-AWQ | 8 | 997 | transformers | 2023-11-02T17:54:52 | ---
base_model: NousResearch/Yarn-Mistral-7b-128k
datasets:
- emozilla/yarn-train-tokenized-16k-mistral
inference: false
language:
- en
library_name: transformers
license: apache-2.0
metrics:
- perplexity
model_creator: NousResearch
model_name: Yarn Mistral 7B 128K
model_type: mistral
prompt_template: '{prompt}
'
qu... | 15,813 | [
[
-0.039337158203125,
-0.0616455078125,
0.0266876220703125,
0.00458526611328125,
-0.018218994140625,
-0.01435089111328125,
0.0089874267578125,
-0.042205810546875,
0.001712799072265625,
0.029876708984375,
-0.052947998046875,
-0.0379638671875,
-0.02337646484375,
... |
timm/tf_efficientnet_b0.aa_in1k | 2023-04-27T21:14:46.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1805.09501",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b0.aa_in1k | 0 | 996 | timm | 2022-12-13T00:01:18 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b0.aa_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with auto-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | 4,488 | [
[
-0.0297393798828125,
-0.042449951171875,
-0.00930023193359375,
0.006862640380859375,
-0.016021728515625,
-0.0306549072265625,
-0.0220794677734375,
-0.0307464599609375,
0.01387786865234375,
0.0245208740234375,
-0.0293731689453125,
-0.043975830078125,
-0.056304931... |
timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k | 2023-03-31T22:14:03.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:laion-2b",
"arxiv:2210.08402",
"arxiv:2201.03545",
"arxiv:2103.00020",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k | 0 | 996 | timm | 2023-02-03T18:34:54 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- laion-2b
---
# Model card for convnext_large_mlp.clip_laion2b_augreg_ft_in1k
A ConvNeXt image classification model. CLIP image tower weights pretrained in [OpenCLIP](https://github.com/mlfoundations/open_clip) on LA... | 18,517 | [
[
-0.06170654296875,
-0.03546142578125,
-0.001598358154296875,
0.03619384765625,
-0.0295562744140625,
-0.0187835693359375,
-0.0153045654296875,
-0.0343017578125,
0.05853271484375,
0.02081298828125,
-0.042724609375,
-0.04425048828125,
-0.05419921875,
-0.0024089... |
Yntec/elldrethsImagination | 2023-09-19T06:50:20.000Z | [
"diffusers",
"Anime",
"General",
"Landscapes",
"Eldreths",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Exclusive",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/elldrethsImagination | 2 | 993 | diffusers | 2023-09-19T02:22:14 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- General
- Landscapes
- Eldreths
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Exclusive
---
# eldrethSImagination
![image/png](https://cdn-uploads.huggingface.co/production/uploads/63... | 1,171 | [
[
-0.060272216796875,
-0.0560302734375,
0.0330810546875,
0.00577545166015625,
-0.045867919921875,
-0.006183624267578125,
0.01151275634765625,
-0.04364013671875,
0.03326416015625,
0.043975830078125,
-0.0709228515625,
-0.030792236328125,
-0.04852294921875,
0.013... |
deepmind/multimodal-perceiver | 2023-09-24T08:47:37.000Z | [
"transformers",
"pytorch",
"perceiver",
"dataset:kinetics-700-2020",
"arxiv:2010.10864",
"arxiv:2107.14795",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | deepmind | null | null | deepmind/multimodal-perceiver | 15 | 992 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
datasets:
- kinetics-700-2020
---
# Perceiver IO for multimodal autoencoding
Perceiver IO model trained on [Kinetics-700-2020](https://arxiv.org/abs/2010.10864) for auto-encoding videos that consist of images, audio and a class label. It was introduced in the paper [Perceiver IO: A General Arc... | 4,632 | [
[
-0.049591064453125,
-0.045928955078125,
0.0250396728515625,
0.02191162109375,
0.000579833984375,
-0.026092529296875,
-0.00482177734375,
-0.0426025390625,
0.01248931884765625,
-0.00482940673828125,
-0.040496826171875,
-0.0191497802734375,
-0.047882080078125,
... |
sail-rvc/Patrick_Star__RVC_v2_ | 2023-07-14T07:30:17.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/Patrick_Star__RVC_v2_ | 0 | 992 | transformers | 2023-07-14T07:29:32 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# Patrick_Star__RVC_v2_
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:30:17
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Convert... | 389 | [
[
-0.02178955078125,
-0.02703857421875,
0.020172119140625,
0.009918212890625,
-0.034759521484375,
0.0107879638671875,
0.00933074951171875,
-0.00896453857421875,
0.028594970703125,
0.07476806640625,
-0.042633056640625,
-0.03839111328125,
-0.04241943359375,
-0.0... |
maywell/Synatra-11B-Tb2M_SM | 2023-10-16T01:20:29.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | maywell | null | null | maywell/Synatra-11B-Tb2M_SM | 0 | 992 | transformers | 2023-10-16T00:14:31 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
# **Synatra-11B-Tb2M-SM**
Made by StableFluffy
**Contact (Do not Contact for personal things.)**
Discord : is.maywell
Telegram : AlzarTakkarsen
## License
This model is strictly [*non-commercial*](https://crea... | 1,167 | [
[
-0.0213775634765625,
-0.043304443359375,
0.00711822509765625,
0.033477783203125,
-0.056121826171875,
-0.0274658203125,
-0.002948760986328125,
-0.06304931640625,
0.0293731689453125,
0.035125732421875,
-0.061614990234375,
-0.03961181640625,
-0.04913330078125,
... |
chkla/roberta-argument | 2023-03-22T16:19:55.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"roberta",
"text-classification",
"en",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | chkla | null | null | chkla/roberta-argument | 7 | 991 | transformers | 2022-03-02T23:29:05 | ---
language: en
widget:
- text: "It has been determined that the amount of greenhouse gases have decreased by almost half because of the prevalence in the utilization of nuclear power."
---
### Welcome to RoBERTArg!
🤖 **Model description**
This model was trained on ~25k heterogeneous manually annotated sentences (... | 2,518 | [
[
-0.043548583984375,
-0.07623291015625,
0.0201416015625,
0.00737762451171875,
-0.02728271484375,
-0.0249481201171875,
-0.0159912109375,
-0.0177001953125,
0.0045013427734375,
0.0304107666015625,
-0.038482666015625,
-0.048980712890625,
-0.077880859375,
-0.00914... |
r3dhummingbird/DialoGPT-medium-joshua | 2023-03-17T16:58:25.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"conversational",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | conversational | r3dhummingbird | null | null | r3dhummingbird/DialoGPT-medium-joshua | 17 | 991 | transformers | 2022-03-02T23:29:05 | ---
thumbnail: https://raw.githubusercontent.com/RuolinZheng08/twewy-discord-chatbot/main/gif-demo/icon.png
tags:
- conversational
license: mit
---
# DialoGPT Trained on the Speech of a Game Character
This is an instance of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) trained on ... | 1,901 | [
[
-0.018035888671875,
-0.06146240234375,
0.00498199462890625,
-0.0018329620361328125,
-0.005474090576171875,
0.0177459716796875,
-0.01178741455078125,
-0.01873779296875,
0.01568603515625,
0.0272369384765625,
-0.05718994140625,
-0.033233642578125,
-0.03897094726562... |
Yntec/KIDSILLUSTRATIONS | 2023-07-19T15:00:00.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Children Book",
"Kids Illustrations",
"Clumsy_Trainer",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/KIDSILLUSTRATIONS | 2 | 991 | diffusers | 2023-07-19T14:42:10 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Children Book
- Kids Illustrations
- Clumsy_Trainer
---
# KIDSILLUSTRATIONS
The first model in huggingface that uses ALLCAPS and no separation of t... | 639 | [
[
-0.048736572265625,
-0.04345703125,
0.005779266357421875,
0.026336669921875,
-0.0341796875,
0.004596710205078125,
0.03656005859375,
-0.036163330078125,
0.058563232421875,
0.03289794921875,
-0.08056640625,
-0.0259246826171875,
-0.0606689453125,
-0.01913452148... |
hf-internal-testing/tiny-stable-diffusion-open-vino | 2023-04-11T16:05:41.000Z | [
"diffusers",
"text-to-image",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | hf-internal-testing | null | null | hf-internal-testing/tiny-stable-diffusion-open-vino | 0 | 990 | diffusers | 2023-04-11T16:02:28 | ---
library_name: diffusers
tags:
- text-to-image
duplicated_from: hf-internal-testing/tiny-stable-diffusion-pipe
---
```py
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-pipe")
``` | 259 | [
[
-0.0198211669921875,
-0.046173095703125,
0.0191802978515625,
0.0146942138671875,
-0.0143280029296875,
-0.002758026123046875,
0.0167694091796875,
0.051788330078125,
0.00864410400390625,
0.0100250244140625,
-0.0285797119140625,
0.0012483596801757812,
-0.0325012207... |
gagan3012/wav2vec2-xlsr-nepali | 2021-07-06T04:10:40.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"ne",
"dataset:OpenSLR",
"dataset:common_voice",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us",
"has_space"
] | automatic-speech-recognition | gagan3012 | null | null | gagan3012/wav2vec2-xlsr-nepali | 2 | 989 | transformers | 2022-03-02T23:29:05 | ---
language: ne
datasets:
- OpenSLR
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: wav2vec2-xlsr-nepali
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
... | 5,048 | [
[
-0.01131439208984375,
-0.04730224609375,
-0.0078582763671875,
0.02825927734375,
-0.011444091796875,
-0.006542205810546875,
-0.03668212890625,
-0.02386474609375,
0.0086822509765625,
0.02203369140625,
-0.040985107421875,
-0.043701171875,
-0.032806396484375,
-0... |
hf-internal-testing/tiny-stable-diffusion-pipe-no-safetensors | 2023-03-16T06:12:42.000Z | [
"diffusers",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | hf-internal-testing | null | null | hf-internal-testing/tiny-stable-diffusion-pipe-no-safetensors | 0 | 989 | diffusers | 2023-03-16T06:09:24 | ```py
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-pipe")
``` | 141 | [
[
-0.0198211669921875,
-0.046173095703125,
0.0191802978515625,
0.0146942138671875,
-0.0143280029296875,
-0.002758026123046875,
0.0167694091796875,
0.051788330078125,
0.00864410400390625,
0.0100250244140625,
-0.0285797119140625,
0.0012483596801757812,
-0.0325012207... |
stablediffusionapi/majicmixrealistic | 2023-05-23T10:13:15.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/majicmixrealistic | 9 | 989 | diffusers | 2023-05-23T06:06:03 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# majicMIX_realistic API Inference
## Get API Key
Get A... | 2,424 | [
[
-0.03411865234375,
-0.0615234375,
0.035736083984375,
0.0266876220703125,
-0.025146484375,
0.013916015625,
0.0190887451171875,
-0.0278778076171875,
0.039154052734375,
0.04412841796875,
-0.07421875,
-0.058837890625,
-0.02374267578125,
-0.0017824172973632812,
... |
digiplay/AIGEN_v1.4_diffusers | 2023-07-18T02:35:06.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/AIGEN_v1.4_diffusers | 4 | 989 | diffusers | 2023-06-16T12:57:43 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/90045/aigen-14
Sample images I made:
| 314 | [
[
-0.05072021484375,
-0.00843048095703125,
0.0244293212890625,
0.0176544189453125,
-0.01971435546875,
-0.0123748779296875,
0.037445068359375,
-0.021331787109375,
0.0401611328125,
0.037689208984375,
-0.04730224609375,
-0.035797119140625,
-0.0208282470703125,
-0... |
flax-community/t5-base-cnn-dm | 2023-10-10T08:42:55.000Z | [
"transformers",
"pytorch",
"jax",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"en",
"dataset:cnn_dailymail",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | summarization | flax-community | null | null | flax-community/t5-base-cnn-dm | 1 | 988 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
tags:
- summarization
datasets:
- cnn_dailymail
model-index:
- name: flax-community/t5-base-cnn-dm
results:
- task:
type: summarization
name: Summarization
dataset:
name: cnn_dailymail
type: cnn_dailymail
config: 3.0.0
split: test
metr... | 2,507 | [
[
-0.034149169921875,
-0.05914306640625,
0.0036067962646484375,
0.01837158203125,
-0.0261077880859375,
0.004863739013671875,
0.01181793212890625,
-0.037261962890625,
0.0198822021484375,
0.0228118896484375,
-0.0631103515625,
-0.038360595703125,
-0.0345458984375,
... |
IlyaGusev/fred_t5_ru_turbo_alpaca | 2023-04-20T17:12:19.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"text-generation",
"ru",
"dataset:IlyaGusev/ru_turbo_alpaca",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | IlyaGusev | null | null | IlyaGusev/fred_t5_ru_turbo_alpaca | 12 | 988 | transformers | 2023-04-14T10:41:15 | ---
language:
- ru
pipeline_tag: text-generation
inference:
parameters:
no_repeat_ngram_size: 4
num_beams: 5
max_length: 200
widget:
- text: |-
Сочини длинный рассказ, обязательно упоминая следующие объекты.
Дано: Таня, мяч
example_title: Таня и мяч
- text: |-
Заполни пропуск в... | 963 | [
[
-0.02484130859375,
-0.06402587890625,
0.0213623046875,
0.046783447265625,
-0.00333404541015625,
0.02264404296875,
0.01442718505859375,
-0.00970458984375,
0.05145263671875,
-0.003810882568359375,
-0.0455322265625,
-0.01163482666015625,
-0.030120849609375,
-0.... |
assemblyai/bert-large-uncased-sst2 | 2021-06-14T22:04:39.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:1810.04805",
"endpoints_compatible",
"region:us"
] | text-classification | assemblyai | null | null | assemblyai/bert-large-uncased-sst2 | 0 | 987 | transformers | 2022-03-02T23:29:05 | # BERT-Large-Uncased for Sentiment Analysis
This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) originally released in ["BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"](https://arxiv.org/abs/1810.04805) and trained on the [Stanford Sen... | 1,758 | [
[
-0.0263519287109375,
-0.042022705078125,
0.01541900634765625,
0.036895751953125,
-0.040374755859375,
-0.0091400146484375,
-0.0277557373046875,
-0.0201568603515625,
0.01806640625,
0.030670166015625,
-0.055694580078125,
-0.041046142578125,
-0.04254150390625,
-... |
TheBloke/OpenBuddy-Llama2-70b-v10.1-AWQ | 2023-09-27T12:51:18.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/OpenBuddy-Llama2-70b-v10.1-AWQ | 3 | 987 | transformers | 2023-09-19T09:54:33 | ---
language:
- zh
- en
- fr
- de
- ja
- ko
- it
- ru
license: llama2
library_name: transformers
model_name: OpenBuddy Llama2 70b v10.1
base_model: OpenBuddy/openbuddy-llama2-70b-v10.1-bf16
inference: false
model_creator: OpenBuddy
model_type: llama
pipeline_tag: text-generation
prompt_template: "You are a helpful, res... | 15,789 | [
[
-0.044189453125,
-0.06939697265625,
0.0200042724609375,
0.0026836395263671875,
-0.0185089111328125,
-0.007389068603515625,
-0.00019097328186035156,
-0.03363037109375,
0.00016808509826660156,
0.01367950439453125,
-0.037994384765625,
-0.034637451171875,
-0.0197448... |
Helsinki-NLP/opus-mt-jap-en | 2023-08-16T11:59:26.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"jap",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-jap-en | 1 | 986 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-jap-en
* source languages: jap
* target languages: en
* OPUS readme: [jap-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/jap-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | 830 | [
[
-0.0218048095703125,
-0.032684326171875,
0.01617431640625,
0.0286102294921875,
-0.031341552734375,
-0.0276336669921875,
-0.03497314453125,
-0.007160186767578125,
0.00395965576171875,
0.0374755859375,
-0.05157470703125,
-0.039642333984375,
-0.044830322265625,
... |
HooshvareLab/distilbert-fa-zwnj-base-ner | 2021-03-21T14:32:29.000Z | [
"transformers",
"pytorch",
"tf",
"distilbert",
"token-classification",
"fa",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | HooshvareLab | null | null | HooshvareLab/distilbert-fa-zwnj-base-ner | 4 | 986 | transformers | 2022-03-02T23:29:04 | ---
language: fa
---
# DistilbertNER
This model fine-tuned for the Named Entity Recognition (NER) task on a mixed NER dataset collected from [ARMAN](https://github.com/HaniehP/PersianNER), [PEYMA](http://nsurl.org/2019-2/tasks/task-7-named-entity-recognition-ner-for-farsi/), and [WikiANN](https://elisa-ie.github.io/... | 3,662 | [
[
-0.04693603515625,
-0.0428466796875,
0.0194854736328125,
0.0014438629150390625,
-0.0006656646728515625,
-0.00579071044921875,
-0.0011224746704101562,
-0.015655517578125,
0.028167724609375,
0.0278472900390625,
-0.03851318359375,
-0.047882080078125,
-0.06280517578... |
llm-book/t5-base-long-livedoor-news-corpus | 2023-07-25T13:10:36.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"ja",
"dataset:llm-book/livedoor-news-corpus",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | llm-book | null | null | llm-book/t5-base-long-livedoor-news-corpus | 1 | 986 | transformers | 2023-06-27T13:32:54 | ---
language:
- ja
license: apache-2.0
library_name: transformers
datasets:
- llm-book/livedoor-news-corpus
pipeline_tag: text2text-generation
metrics:
- rouge
- bleu
- bertscore
---
# llm-book/t5-base-long-livedoor-news-corpus
「[大規模言語モデル入門](https://www.amazon.co.jp/dp/4297136333)」の第7章で紹介している要約生成のモデルです。
[retrieva-jp/... | 1,567 | [
[
-0.02874755859375,
-0.047149658203125,
0.0158538818359375,
0.0325927734375,
-0.0565185546875,
0.0006413459777832031,
-0.0173797607421875,
-0.03204345703125,
0.048095703125,
0.040679931640625,
-0.047210693359375,
-0.0574951171875,
-0.03948974609375,
0.0210876... |
kaporter/bert-base-uncased-finetuned-squad | 2021-11-30T22:42:17.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | kaporter | null | null | kaporter/bert-base-uncased-finetuned-squad | 0 | 985 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model_index:
- name: bert-base-uncased-finetuned-squad
results:
- task:
name: Question Answering
type: question-answering
dataset:
name: squad
type: squad
args: plain_text
---
<!-- This model card has been ge... | 1,546 | [
[
-0.03924560546875,
-0.04498291015625,
0.00908660888671875,
0.0204925537109375,
-0.0264739990234375,
-0.0138397216796875,
-0.01554107666015625,
-0.016387939453125,
0.0048370361328125,
0.029876708984375,
-0.07568359375,
-0.039337158203125,
-0.03985595703125,
-... |
stablediffusionapi/cyberrealistic-v32 | 2023-07-12T14:59:24.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/cyberrealistic-v32 | 0 | 985 | diffusers | 2023-07-12T14:56:50 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# CyberRealistic v3.2 API Inference
## Get API Key
Get ... | 2,487 | [
[
-0.03753662109375,
-0.06103515625,
0.043487548828125,
0.0194854736328125,
-0.03643798828125,
0.01218414306640625,
0.024505615234375,
-0.0474853515625,
0.045867919921875,
0.041900634765625,
-0.06280517578125,
-0.057159423828125,
-0.029296875,
-0.0039100646972... |
cssupport/t5-small-awesome-text-to-sql | 2023-08-29T01:35:30.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:Clinton/Text-to-sql-v1",
"dataset:b-mc2/sql-create-context",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | cssupport | null | null | cssupport/t5-small-awesome-text-to-sql | 10 | 985 | transformers | 2023-08-28T22:47:42 | ---
license: apache-2.0
datasets:
- Clinton/Text-to-sql-v1
- b-mc2/sql-create-context
language:
- en
pipeline_tag: text2text-generation
---
# Model Card for Model ID
<!-- Based on https://huggingface.co/t5-small, model generates SQL from text given table list with "CREATE TABLE" statements.
This is a very light weig... | 5,638 | [
[
-0.00984954833984375,
-0.052032470703125,
0.03790283203125,
0.0203094482421875,
-0.020965576171875,
-0.0208587646484375,
0.00418853759765625,
-0.016265869140625,
0.026611328125,
0.0474853515625,
-0.04742431640625,
-0.06207275390625,
-0.0234375,
-0.0000946521... |
microsoft/deberta-v2-xlarge-mnli | 2021-05-21T20:08:15.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"deberta",
"deberta-mnli",
"en",
"arxiv:2006.03654",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | microsoft | null | null | microsoft/deberta-v2-xlarge-mnli | 5 | 984 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- deberta
- deberta-mnli
tasks: mnli
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
widget:
- text: "[CLS] I love you. [SEP] I like you. [SEP]"
---
## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
[DeBERTa](https://arxiv.org/abs/2006.03654) improves... | 3,956 | [
[
-0.034393310546875,
-0.04620361328125,
0.0196990966796875,
0.034210205078125,
-0.01311492919921875,
0.01345062255859375,
0.001377105712890625,
-0.048828125,
0.0209503173828125,
0.01493072509765625,
-0.06231689453125,
-0.025146484375,
-0.0692138671875,
-0.006... |
nsi319/legal-pegasus | 2021-03-11T08:50:52.000Z | [
"transformers",
"pytorch",
"pegasus",
"text2text-generation",
"summarization",
"en",
"license:mit",
"autotrain_compatible",
"region:us"
] | summarization | nsi319 | null | null | nsi319/legal-pegasus | 7 | 984 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags: summarization
metrics:
- rouge
- precision
inference: false
license: mit
---
## PEGASUS for legal document summarization
**legal-pegasus** is a finetuned version of ([**google/pegasus-cnn_dailymail**](https://huggingface.co/google/pegasus-cnn_dailymail)) for the **legal domain**, trained to perf... | 5,317 | [
[
0.0019397735595703125,
-0.036163330078125,
0.01309967041015625,
0.016510009765625,
-0.0297698974609375,
0.01253509521484375,
0.0288848876953125,
-0.0777587890625,
0.0545654296875,
0.039520263671875,
-0.01422882080078125,
-0.0244598388671875,
-0.035614013671875,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.