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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
jozhang97/deta-swin-large | 2023-09-06T16:00:01.000Z | [
"transformers",
"pytorch",
"safetensors",
"deta",
"object-detection",
"vision",
"arxiv:2212.06137",
"endpoints_compatible",
"has_space",
"region:us"
] | object-detection | jozhang97 | null | null | jozhang97/deta-swin-large | 7 | 1,300 | transformers | 2023-01-30T15:46:20 | ---
pipeline_tag: object-detection
tags:
- vision
---
# Detection Transformers with Assignment
By [Jeffrey Ouyang-Zhang](https://jozhang97.github.io/), [Jang Hyun Cho](https://sites.google.com/view/janghyuncho/), [Xingyi Zhou](https://www.cs.utexas.edu/~zhouxy/), [Philipp Krähenbühl](http://www.philkr.net/)
From the... | 640 | [
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0.00042366981506347656,
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0.0087432861328125,
0.0217742919921875,
-0.039093017578125,
-0.025726318359375,
-0.04174804687... |
younus123/my-pet-robot | 2023-10-18T06:26:38.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | younus123 | null | null | younus123/my-pet-robot | 0 | 1,300 | diffusers | 2023-10-18T06:20:33 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-robot Dreambooth model trained by younus123 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](https://huggin... | 492 | [
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apple/deeplabv3-mobilevit-small | 2022-08-29T07:57:47.000Z | [
"transformers",
"pytorch",
"tf",
"coreml",
"mobilevit",
"vision",
"image-segmentation",
"dataset:pascal-voc",
"arxiv:2110.02178",
"arxiv:1706.05587",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | apple | null | null | apple/deeplabv3-mobilevit-small | 6 | 1,299 | transformers | 2022-05-30T12:49:24 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- pascal-voc
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-2.jpg
example_title: Cat
---
# MobileViT + DeepLabV3 (small-sized model)
MobileViT model pre-trained on PASCAL VOC at resolution 512x512. It was introduc... | 4,265 | [
[
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-0.... |
Jade1211/textual_inversion_newcar | 2023-08-11T19:25:03.000Z | [
"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_newcar | 0 | 1,299 | diffusers | 2023-08-11T18:35:45 |
---
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_newcar
These are textual inversion adaptio... | 420 | [
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lxyuan/span-marker-bert-base-multilingual-uncased-multinerd | 2023-08-28T15:40:39.000Z | [
"span-marker",
"pytorch",
"generated_from_trainer",
"ner",
"named-entity-recognition",
"token-classification",
"de",
"en",
"es",
"fr",
"it",
"nl",
"pl",
"pt",
"ru",
"zh",
"dataset:Babelscape/multinerd",
"license:cc-by-nc-sa-4.0",
"model-index",
"region:us"
] | token-classification | lxyuan | null | null | lxyuan/span-marker-bert-base-multilingual-uncased-multinerd | 8 | 1,299 | span-marker | 2023-08-14T09:34:03 | ---
tags:
- generated_from_trainer
- ner
- named-entity-recognition
- span-marker
model-index:
- name: span-marker-bert-base-multilingual-uncased-multinerd
results:
- task:
type: token-classification
name: Named Entity Recognition
dataset:
type: Babelscape/multinerd
name: MultiNERD
... | 18,283 | [
[
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0.030029296875,
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0.00352... |
maywell/synatra_V0.01 | 2023-10-08T09:21:04.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | maywell | null | null | maywell/synatra_V0.01 | 1 | 1,299 | transformers | 2023-10-07T12:47:34 | ---
license: cc-by-nc-4.0
language:
- ko
library_name: transformers
---
테스트 모델입니다.
### 사용시 주의사항
프롬프트 입력시 ```[INST] 프롬프트 메시지 [\INST]``` 형식 맞추어 주셔야 합니다. 원본 모델이 그렇습니다. | 168 | [
[
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... |
mncai/Mistral-7B-v0.1-combine-1k | 2023-10-22T06:02:24.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"MindsAndCompany",
"en",
"ko",
"dataset:DopeorNope/combined",
"arxiv:2306.02707",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mncai | null | null | mncai/Mistral-7B-v0.1-combine-1k | 0 | 1,299 | transformers | 2023-10-22T05:30:45 | ---
pipeline_tag: text-generation
license: mit
language:
- en
- ko
library_name: transformers
tags:
- MindsAndCompany
datasets:
- DopeorNope/combined
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0.1)
* **Library**: [Hugging... | 3,404 | [
[
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0.0253753662109375,
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s-nlp/Mutual_Implication_Score | 2022-07-11T12:36:45.000Z | [
"transformers",
"pytorch",
"roberta",
"paraphrase detection",
"paraphrase",
"paraphrasing",
"en",
"endpoints_compatible",
"region:us"
] | null | s-nlp | null | null | s-nlp/Mutual_Implication_Score | 0 | 1,297 | transformers | 2022-04-12T10:58:35 | ---
language:
- en
tags:
- paraphrase detection
- paraphrase
- paraphrasing
licenses:
- cc-by-nc-sa
---
## Model overview
Mutual Implication Score is a symmetric measure of text semantic similarity
based on a RoBERTA model pretrained for natural language inference
and fine-tuned on a paraphrase detection dataset.
... | 4,847 | [
[
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0.0183258056640625,
0.037322998046875,
-0.025299072265625,
-0.047760009765625,
-0.053741455078125,
0.03... |
Norod78/SDXL-jojoso_style-Lora | 2023-08-30T12:22:51.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"en",
"region:us",
"has_space"
] | text-to-image | Norod78 | null | null | Norod78/SDXL-jojoso_style-Lora | 2 | 1,296 | diffusers | 2023-08-17T12:33:25 | ---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: jojoso style
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
widget:
- text: jojoso style cute dog
- text: jojoso style picure of a Pokemon
- text: jojoso style Cthulhu rising from the sea in a great storm
- text: jojoso style girl wi... | 1,346 | [
[
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-0.07275390625,
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0.048828125,
0.058807373046875,
-0.0538330078125,
-0.051605224609375,
-0.060272216796875,
0.042175292... |
alvaroalon2/biobert_diseases_ner | 2023-03-17T12:11:20.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"NER",
"Biomedical",
"Diseases",
"en",
"dataset:BC5CDR-diseases",
"dataset:ncbi_disease",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | alvaroalon2 | null | null | alvaroalon2/biobert_diseases_ner | 27 | 1,295 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
tags:
- token-classification
- NER
- Biomedical
- Diseases
datasets:
- BC5CDR-diseases
- ncbi_disease
---
BioBERT model fine-tuned in NER task with BC5CDR-diseases and NCBI-diseases corpus
This was fine-tuned in order to use it in a BioNER/BioNEN system which is available at: https... | 350 | [
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-0.0611572265625,
-0.0290985107421875,
0.036163330078125,
... |
AIARTCHAN/7pa | 2023-03-05T01:22:00.000Z | [
"diffusers",
"stable-diffusion",
"aiartchan",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | AIARTCHAN | null | null | AIARTCHAN/7pa | 10 | 1,294 | diffusers | 2023-03-05T01:10:23 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- aiartchan
---
# 7pa
[원본글](https://arca.live/b/aiart/70729603)
[civitai](https://civitai.com/models/13468)
# Download
- [original 4.27GB](https://civitai.com/api/download/models/15869)
- [fp16 2.13GB](h... | 891 | [
[
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0... |
mdraw/german-news-sentiment-bert | 2023-03-17T14:29:53.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | mdraw | null | null | mdraw/german-news-sentiment-bert | 4 | 1,292 | transformers | 2022-03-02T23:29:05 | # German sentiment BERT finetuned on news data
Sentiment analysis model based on https://huggingface.co/oliverguhr/german-sentiment-bert, with additional training on German news texts about migration.
This model is part of the project https://github.com/text-analytics-20/news-sentiment-development, which explores sen... | 1,454 | [
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timm/tf_efficientnetv2_xl.in21k_ft_in1k | 2023-04-27T22:18:18.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnetv2_xl.in21k_ft_in1k | 3 | 1,292 | timm | 2022-12-13T00:20:45 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for tf_efficientnetv2_xl.in21k_ft_in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k in Tensorflow by paper authors, ported to PyT... | 4,195 | [
[
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0.02923583984375,
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-0.... |
julien-c/hotdog-not-hotdog | 2022-09-05T21:30:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"coreml",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | julien-c | null | null | julien-c/hotdog-not-hotdog | 14 | 1,291 | transformers | 2022-03-02T23:29:05 | ---
tags:
- image-classification
- huggingpics
metrics:
- accuracy
model-index:
- name: hotdog-not-hotdog
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.824999988079071
---
# hotdog-not-hotdog
Autogen... | 748 | [
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0.0179443359375,
-0.0211944580078125,
-0.0557861328125,
-0.044525146484375,
0.0099... |
ml6team/keyphrase-generation-t5-small-inspec | 2022-08-19T11:54:17.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"keyphrase-generation",
"en",
"dataset:midas/inspec",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | ml6team | null | null | ml6team/keyphrase-generation-t5-small-inspec | 4 | 1,290 | transformers | 2022-04-27T12:37:16 | ---
language: en
license: mit
tags:
- keyphrase-generation
datasets:
- midas/inspec
widget:
- text: "Keyphrase extraction is a technique in text analysis where you extract the important keyphrases from a document.
Thanks to these keyphrases humans can understand the content of a text very quickly and easily without re... | 11,590 | [
[
-0.006015777587890625,
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0.006561279296875,
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0.017547607421875,
-0.03594970703125,
-0.044891357421875,
-0.052154541015625... |
cahya/bert-base-indonesian-522M | 2021-05-19T13:38:45.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"id",
"dataset:wikipedia",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | cahya | null | null | cahya/bert-base-indonesian-522M | 17 | 1,289 | transformers | 2022-03-02T23:29:05 | ---
language: "id"
license: "mit"
datasets:
- wikipedia
widget:
- text: "Ibu ku sedang bekerja [MASK] sawah."
---
# Indonesian BERT base model (uncased)
## Model description
It is BERT-base model pre-trained with indonesian Wikipedia using a masked language modeling (MLM) objective. This
model is uncased: it does n... | 2,664 | [
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0.02685546875,
0.041290283203125,
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0.0199890... |
JorisCos/DCCRNet_Libri1Mix_enhsingle_16k | 2021-09-23T15:49:13.000Z | [
"asteroid",
"pytorch",
"audio",
"DCCRNet",
"audio-to-audio",
"speech-enhancement",
"dataset:Libri1Mix",
"dataset:enh_single",
"license:cc-by-sa-4.0",
"has_space",
"region:us"
] | audio-to-audio | JorisCos | null | null | JorisCos/DCCRNet_Libri1Mix_enhsingle_16k | 13 | 1,288 | asteroid | 2022-03-02T23:29:04 | ---
tags:
- asteroid
- audio
- DCCRNet
- audio-to-audio
- speech-enhancement
datasets:
- Libri1Mix
- enh_single
license: cc-by-sa-4.0
---
## Asteroid model `JorisCos/DCCRNet_Libri1Mix_enhsignle_16k`
Description:
This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/aste... | 1,736 | [
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mrm8488/bert2bert_shared-spanish-finetuned-summarization | 2023-05-02T18:59:18.000Z | [
"transformers",
"pytorch",
"safetensors",
"encoder-decoder",
"text2text-generation",
"summarization",
"news",
"es",
"dataset:mlsum",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | mrm8488 | null | null | mrm8488/bert2bert_shared-spanish-finetuned-summarization | 15 | 1,288 | transformers | 2022-03-02T23:29:05 | ---
tags:
- summarization
- news
language: es
datasets:
- mlsum
widget:
- text: 'Al filo de las 22.00 horas del jueves, la Asamblea de Madrid vive un momento sorprendente: Vox decide no apoyar una propuesta del PP en favor del blindaje fiscal de la Comunidad. Se ha roto la unidad de los tres partidos de derechas. Es un... | 7,108 | [
[
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0.0042572021484375,
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0.0142440... |
Stancld/longt5-tglobal-large-16384-pubmed-3k_steps | 2023-07-13T19:39:23.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"longt5",
"text2text-generation",
"en",
"dataset:ccdv/pubmed-summarization",
"arxiv:2112.07916",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | Stancld | null | null | Stancld/longt5-tglobal-large-16384-pubmed-3k_steps | 16 | 1,288 | transformers | 2022-06-10T12:24:12 | ---
language: en
datasets:
- ccdv/pubmed-summarization
license: apache-2.0
---
## Introduction
[Google's LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://arxiv.org/pdf/2112.07916.pdf) introduced as an extension of a successful [T5 model](https://arxiv.org/pdf/1910.10683.pdf).
This is an uno... | 20,332 | [
[
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0.002384185791015625,
... |
timm/vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k | 2023-05-06T00:52:57.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k | 0 | 1,288 | timm | 2022-12-23T00:34:35 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k
A ResNet - Vision Transformer (ViT) hybrid image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additi... | 3,921 | [
[
-0.03778076171875,
-0.027801513671875,
-0.0029354095458984375,
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-0.0243072509765625,
-0.03363037109375,
0.0189056396484375,
0.0171661376953125,
-0.0406494140625,
-0.034759521484375,
-0.043548583984375,
... |
snunlp/KR-BERT-char16424 | 2021-11-22T06:19:20.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"ko",
"arxiv:2008.03979",
"endpoints_compatible",
"region:us"
] | null | snunlp | null | null | snunlp/KR-BERT-char16424 | 4 | 1,287 | transformers | 2022-03-02T23:29:05 | ---
language:
- ko
---
## KoRean based Bert pre-trained (KR-BERT)
This is a release of Korean-specific, small-scale BERT models with comparable or better performances developed by Computational Linguistics Lab at Seoul National University, referenced in [KR-BERT: A Small-Scale Korean-Specific Language Model](https:/... | 9,108 | [
[
-0.0421142578125,
-0.04815673828125,
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-0.0211181640625,
0.038360595703125,
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-0.05352783203125,
-0.04071044921875,
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... |
TencentARC/t2iadapter_canny_sd15v2 | 2023-07-31T11:08:54.000Z | [
"diffusers",
"art",
"t2i-adapter",
"controlnet",
"stable-diffusion",
"image-to-image",
"arxiv:2302.08453",
"license:apache-2.0",
"diffusers:T2IAdapter",
"region:us"
] | image-to-image | TencentARC | null | null | TencentARC/t2iadapter_canny_sd15v2 | 1 | 1,285 | diffusers | 2023-07-14T19:00:40 | ---
license: apache-2.0
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- t2i-adapter
- controlnet
- stable-diffusion
- image-to-image
---
# T2I Adapter - Canny
T2I Adapter is a network providing additional conditioning to stable diffusion. Each t2i checkpoint takes a different type of conditioning a... | 7,865 | [
[
-0.0176544189453125,
-0.0091094970703125,
0.0204010009765625,
0.0260009765625,
-0.035308837890625,
-0.0162506103515625,
0.001110076904296875,
-0.030181884765625,
0.0229644775390625,
-0.007183074951171875,
-0.0460205078125,
-0.045074462890625,
-0.051239013671875,... |
ai-forever/ruT5-base | 2023-11-03T12:50:06.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"PyTorch",
"Transformers",
"ru",
"arxiv:2309.10931",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | ai-forever | null | null | ai-forever/ruT5-base | 8 | 1,283 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- PyTorch
- Transformers
thumbnail: "https://github.com/sberbank-ai/model-zoo"
---
# ruT5-base
The model architecture design, pretraining, and evaluation are documented in our preprint: [**A Family of Pretrained Transformer Language Models for Russian**](https://arxiv.org/abs/2309.10931).
The ... | 1,136 | [
[
-0.01302337646484375,
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-0.0173187255859375,
-0.020599365234375,
-0.025543212890625,
0.021881103515625,
-0.04339599609375,
-0.0288848876953125,
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timm/vit_large_patch14_clip_336.openai_ft_in12k_in1k | 2023-05-06T00:14:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:wit-400m",
"dataset:imagenet-12k",
"arxiv:2212.07143",
"arxiv:2103.00020",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_large_patch14_clip_336.openai_ft_in12k_in1k | 1 | 1,283 | timm | 2022-11-21T19:56:44 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- wit-400m
- imagenet-12k
---
# Model card for vit_large_patch14_clip_336.openai_ft_in12k_in1k
A Vision Transformer (ViT) image classification model. Pretrained on WIT-400M image-text pairs by OpenAI using CLIP. Fine... | 4,443 | [
[
-0.031646728515625,
-0.037261962890625,
0.0033817291259765625,
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-0.023223876953125,
-0.032012939453125,
-0.03338623046875,
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0.01251983642578125,
0.03118896484375,
-0.0305633544921875,
-0.039764404296875,
-0.05743408203125,
... |
biu-nlp/abstract-sim-query | 2023-05-26T08:21:13.000Z | [
"transformers",
"pytorch",
"mpnet",
"fill-mask",
"feature-extraction",
"sentence-similarity",
"en",
"dataset:biu-nlp/abstract-sim",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | feature-extraction | biu-nlp | null | null | biu-nlp/abstract-sim-query | 11 | 1,283 | transformers | 2023-05-13T14:53:01 | ---
language:
- en
tags:
- feature-extraction
- sentence-similarity
datasets:
- biu-nlp/abstract-sim
widgets:
- sentence-similarity
- feature-extraction
---
A model for mapping abstract sentence descriptions to sentences that fit the descriptions. Trained on Wikipedia. Use ```load_finetuned_model``` to load the query ... | 4,986 | [
[
-0.01319122314453125,
-0.04217529296875,
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-0.018829345703125,
-0.0079193115234375,
-0.01080322265625,
-0.015045166015625,
0.0283203125,
0.03594970703125,
-0.053009033203125,
-0.0308074951171875,
-0.0230712890625,
0.01136... |
KoboldAI/fairseq-dense-13B-Shinen | 2022-04-07T09:10:04.000Z | [
"transformers",
"pytorch",
"xglm",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/fairseq-dense-13B-Shinen | 23 | 1,282 | transformers | 2022-04-07T08:05:12 | ---
language: en
license: mit
---
# Fairseq-dense 13B - Shinen
## Model Description
Fairseq-dense 13B-Shinen is a finetune created using Fairseq's MoE dense model. Compared to GPT-Neo-2.7-Horni, this model is much heavier on the sexual content.
**Warning: THIS model is NOT suitable for use by minors. The model will out... | 1,301 | [
[
-0.01007843017578125,
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-0.00919342041015625,
-0.0224456787109375,
0.00618743896484375,
0.0396728515625,
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-0.03302001953125,
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0.0... |
google/t5-xxl-lm-adapt | 2023-01-24T16:52:50.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"t5-lm-adapt",
"en",
"dataset:c4",
"arxiv:2002.05202",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | google | null | null | google/t5-xxl-lm-adapt | 8 | 1,280 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- c4
tags:
- t5-lm-adapt
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) Version 1.1 - LM-Adapted
## Version 1.1 - LM-Adapted
[T5 Version 1.1 - LM Adapted](https://github.com/google-research/text-to-text-transfer-transform... | 3,201 | [
[
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-0.031280517578125,
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0.032562255859375,
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-0.043365478515625,
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... |
sail/poolformer_s12 | 2023-09-19T02:07:38.000Z | [
"transformers",
"pytorch",
"safetensors",
"poolformer",
"image-classification",
"vision",
"dataset:imagenet",
"arxiv:2111.11418",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | sail | null | null | sail/poolformer_s12 | 0 | 1,280 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
---
# PoolFormer (S12 model)
PoolFormer model trained on ImageNet-1k (1 million images, 1,000 classes) at resolution 224x224. It was first introduced in the paper [MetaFormer is Actually What You Need for Vision](https://arxiv.org/abs/... | 5,211 | [
[
-0.050262451171875,
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0.002002716064453125,
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-0.035308837890625,
-0.0217437744140625,
-0.06536865234... |
thusken/nb-bert-large-user-needs | 2023-09-11T12:36:25.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"no",
"nb",
"nn",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | thusken | null | null | thusken/nb-bert-large-user-needs | 0 | 1,280 | transformers | 2022-08-11T11:15:43 | ---
language:
- 'no'
- nb
- nn
license: cc-by-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
widget:
- text: Fløyfjelltunnelen på E39 retning sentrum er åpen for fri ferdsel.
- text: Slik kan du redusere strømregningen din
pipeline_tag: text-classification
base_model: NbAiLab/nb-bert-l... | 4,293 | [
[
-0.0496826171875,
-0.04486083984375,
0.015869140625,
0.007598876953125,
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0.051055908203125,
0.02117919921875,
-0.0469970703125,
-0.0499267578125,
-0.046966552734375,
-... |
digiplay/BeautyFool_v1.2VAE_pruned | 2023-07-08T01:29:35.000Z | [
"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/BeautyFool_v1.2VAE_pruned | 3 | 1,280 | diffusers | 2023-07-08T01:17:30 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/101888?modelVersionId=112320
Model info
Original Author's DEMO images :
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1af3928a-2641-43ad-8179-631fc... | 487 | [
[
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Yntec/Rainbowsphere | 2023-07-20T13:21:24.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Noosphere",
"Rainbowpatch",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Rainbowsphere | 3 | 1,278 | diffusers | 2023-07-14T22:55:38 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Noosphere
- Rainbowpatch
---
# Rainbowsphere
A mix of Noosphere v3 by skumerz and Rainbowpath by PatchMonk. You can use "Rainbowpath" in the prompt... | 600 | [
[
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0.01166534423828125,
... |
nandakishormpai/t5-small-machine-articles-tag-generation | 2023-02-20T15:52:30.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"machine_learning",
"article_tag",
"tag_generation",
"ml_article_tag",
"blog_tag_generation",
"summarization",
"tagging",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_c... | summarization | nandakishormpai | null | null | nandakishormpai/t5-small-machine-articles-tag-generation | 0 | 1,277 | transformers | 2023-02-18T06:50:02 | ---
license: apache-2.0
tags:
- generated_from_trainer
- machine_learning
- article_tag
- tag_generation
- ml_article_tag
- blog_tag_generation
- summarization
- tagging
metrics:
- rouge
model-index:
- name: t5-small-machine-articles-tag-generation
results: []
widget:
- text: "Paige, AI in pathology and genomics\n\nF... | 6,985 | [
[
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0.01617431640625,
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0.00022292137145996094,
0.008819580078125,
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0.01253509521484375,
0.0147247314453125,
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... |
sultan/ArabicT5-49GB-small | 2023-11-05T02:15:00.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"arxiv:2109.10686",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | sultan | null | null | sultan/ArabicT5-49GB-small | 0 | 1,276 | transformers | 2023-10-23T16:24:58 | # ArabicT5: Efficient Adaptation of T5 on Arabic Language
# Model Description
This model adapts T5 on the Arabic Language by pre-training T5 on :
- Arabic Wikipedia.
- Marefa encyclopedia.
- Hindawi Books.
- a collection of Arabic News.
- OSCAR Dataset (32GB)
Total Corpora size is 49GB. This model uses an efficien... | 7,725 | [
[
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0.019134521484375,
0.01092529296875,
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0.0082550048828125,
0.007434844970703125,
-0.04327392578125,
-0.08282470703125,
-0.056640625,
0.... |
mrp/simcse-model-m-bert-thai-cased | 2021-10-05T05:48:44.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:2104.08821",
"endpoints_compatible",
"region:us"
] | sentence-similarity | mrp | null | null | mrp/simcse-model-m-bert-thai-cased | 4 | 1,274 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {mrp/simcse-model-m-bert-thai-cased}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be use... | 1,139 | [
[
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0.02008056640625,
0.037078857421875,
-0.0399169921875,
-0.04425048828125,
-0.030242919921875,
0.008... |
daspartho/prompt-extend | 2022-12-20T19:40:38.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | daspartho | null | null | daspartho/prompt-extend | 29 | 1,274 | transformers | 2022-11-01T06:35:53 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: prompt-extend
results: []
---
[](https://huggingface.co/spaces/daspartho/prompt-extend)
# Prompt Extend
Text generation model for generating suitable style cues given the... | 1,323 | [
[
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0.041229248046875,
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-0.0009150505065917969,
0.00035858154296875,
0.004878997802734375,
-0.006591796875,
-0.0711669921875,
-0.0496826171875,
-0.046051025390625,
0.01155853... |
Yntec/GoldenEra | 2023-10-25T07:08:14.000Z | [
"diffusers",
"Anime",
"Retro",
"3D",
"Pixar",
"Elldreth",
"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/GoldenEra | 0 | 1,274 | diffusers | 2023-09-12T04:20:10 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Retro
- 3D
- Pixar
- Elldreth
- DucHaiten
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# Golden Era
A mix of Elldreth's Retro and DucHaiten-GoldenLife, two of ... | 2,620 | [
[
-0.057098388671875,
-0.04052734375,
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0.0184326171875,
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0.0290069580078125,
-0.0293121337890625,
0.05902099609375,
0.03778076171875,
-0.06463623046875,
-0.036041259765625,
-0.033477783203125,
0.01699... |
timm/regnety_160.sw_in12k_ft_in1k | 2023-03-21T06:45:47.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2003.13678",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/regnety_160.sw_in12k_ft_in1k | 0 | 1,273 | timm | 2023-03-21T06:45:18 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for regnety_160.sw_in12k_ft_in1k
A RegNetY-16GF image classification model. Pretrained on ImageNet-12k and fine-tuned on ImageNet-1k by Ross Wightman in `timm`.
The `timm` RegNet imple... | 15,657 | [
[
-0.0604248046875,
-0.017669677734375,
-0.01312255859375,
0.0377197265625,
-0.032196044921875,
-0.008392333984375,
-0.0119171142578125,
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0.07464599609375,
0.005218505859375,
-0.051544189453125,
-0.03851318359375,
-0.048187255859375,
0.00320... |
caisarl76/Mistral-7B-orca-1k-platy-1k | 2023-10-22T15:11:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"MindsAndCompany",
"en",
"ko",
"dataset:kyujinpy/KOpen-platypus",
"dataset:kyujinpy/OpenOrca-KO",
"arxiv:2306.02707",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | caisarl76 | null | null | caisarl76/Mistral-7B-orca-1k-platy-1k | 0 | 1,273 | transformers | 2023-10-22T12:38:41 | ---
pipeline_tag: text-generation
license: mit
language:
- en
- ko
library_name: transformers
tags:
- MindsAndCompany
datasets:
- kyujinpy/KOpen-platypus
- kyujinpy/OpenOrca-KO
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0... | 3,455 | [
[
-0.031158447265625,
-0.04925537109375,
0.01085662841796875,
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0.0262451171875,
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-0.04180908203125,
-0.04571533203125,
-0.0034... |
chcaa/xls-r-300m-danish | 2022-08-19T08:16:02.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"pretraining",
"speech",
"xls_r",
"xls_r_pretrained",
"danish",
"da",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | chcaa | null | null | chcaa/xls-r-300m-danish | 4 | 1,272 | transformers | 2022-06-08T09:47:32 | ---
language: da
tags:
- speech
- xls_r
- xls_r_pretrained
- danish
license: apache-2.0
---
## XLS-R-300m-danish
Continued pretraining of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for 120.000 steps on 141.000 hours of speech from Danish radio (DR P1 and Radio24Syv from 2005 to... | 816 | [
[
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0.038818359375,
-0.04833984375,
-0.03564453125,
-0.04248046875,
0.006... |
juierror/text-to-sql-with-table-schema | 2023-07-31T15:27:46.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:wikisql",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | juierror | null | null | juierror/text-to-sql-with-table-schema | 60 | 1,272 | transformers | 2022-11-30T11:11:15 | ---
language: en
datasets:
- wikisql
widget:
- text: "question: get people name with age equal 25 table: id, name, age"
---
There are an upgraded version that support multiple tables and support "<" sign using Flan-T5 as a based model [here](https://huggingface.co/juierror/flan-t5-text2sql-with-schema-v2).
# How to us... | 1,358 | [
[
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0.0249176025390625,
-0.0296173095703125,
-0.03778076171875,
-0.033538818359375,
0.022827... |
law-ai/InLegalBERT | 2023-05-11T14:06:48.000Z | [
"transformers",
"pytorch",
"bert",
"pretraining",
"legal",
"fill-mask",
"en",
"arxiv:2209.06049",
"arxiv:2112.14731",
"arxiv:1911.05405",
"arxiv:2105.13562",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | law-ai | null | null | law-ai/InLegalBERT | 27 | 1,271 | transformers | 2022-09-11T12:30:25 | ---
language: en
pipeline_tag: fill-mask
tags:
- legal
license: mit
---
### InLegalBERT
Model and tokenizer files for the InLegalBERT model from the paper [Pre-training Transformers on Indian Legal Text](https://arxiv.org/abs/2209.06049).
### Training Data
For building the pre-training corpus of Indian legal text, ... | 3,885 | [
[
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0.0235595703125,
0.011810302734375,
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-0.0294342041015625,
0.0027103424072265625,
0.04571533203125,
-0.00893402099609375,
-0.04095458984375,
-0.057220458984375,... |
Universal-NER/UniNER-7B-all | 2023-08-11T21:24:35.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"arxiv:2308.03279",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Universal-NER | null | null | Universal-NER/UniNER-7B-all | 28 | 1,271 | transformers | 2023-08-11T20:52:49 | ---
license: cc-by-nc-4.0
language:
- en
---
---
# UniNER-7B-all
**Description**: This model is the best UniNER model. It is trained on the combinations of three data splits: (1) ChatGPT-generated [Pile-NER-type data](https://huggingface.co/datasets/Universal-NER/Pile-NER-type), (2) ChatGPT-generated [Pile-NER-defi... | 2,156 | [
[
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-0.034332275390625,
-0.0371398... |
dbmdz/bert-base-italian-xxl-uncased | 2023-09-06T22:18:38.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"it",
"dataset:wikipedia",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | dbmdz | null | null | dbmdz/bert-base-italian-xxl-uncased | 7 | 1,270 | transformers | 2022-03-02T23:29:05 | ---
language: it
license: mit
datasets:
- wikipedia
---
# 🤗 + 📚 dbmdz BERT and ELECTRA models
In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
Library open sources Italian BERT and ELECTRA models 🎉
# Italian BERT
The source data for the Italian BERT model consists of a recent Wikiped... | 5,994 | [
[
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0.022491455078125,
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-0.03619384765625,
... |
timm/convnextv2_base.fcmae_ft_in1k | 2023-03-31T23:05:09.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_base.fcmae_ft_in1k | 0 | 1,270 | timm | 2023-01-05T01:38:03 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_base.fcmae_ft_in1k
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-1k.
#... | 15,791 | [
[
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-0.0311126708984375,
-0.00643157958984375,
0.038055419921875,
-0.03228759765625,
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0.06427001953125,
0.0178070068359375,
-0.045013427734375,
-0.03900146484375,
-0.0533447265625,
... |
beomi/kollama-13b | 2023-06-28T03:23:51.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"KoLLAMA",
"KoreanGPT",
"ko",
"en",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | beomi | null | null | beomi/kollama-13b | 15 | 1,267 | transformers | 2023-04-14T01:20:46 | ---
license: mit
language:
- ko
- en
metrics:
- perplexity
- accuracy
pipeline_tag: text-generation
tags:
- llama
- KoLLAMA
- KoreanGPT
---
> 🚧 Note: this repo is under construction 🚧
## Todo
✅ - finish
⏳ - currently working on it
- ✅ Train new BBPE Tokenizer
- ✅ Test train code on TPUv4 Pods (with model parall... | 4,047 | [
[
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0.00387... |
digiplay/CounterMix_v1 | 2023-07-21T21:08:10.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | digiplay | null | null | digiplay/CounterMix_v1 | 2 | 1,267 | diffusers | 2023-06-25T17:48:10 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/70455?modelVersionId=75113
Original Author's DEMO images :
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3f49622f-6a41-4b99-b4d6-90f4d3e4abe3/width=1... | 982 | [
[
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0.047088623046875,
0.0295867919921875,
-0.057708740234375,
-0.027191162109375,
-0.0209197998046875... |
mrm8488/bert-multi-cased-finetuned-xquadv1 | 2023-03-19T09:03:39.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"question-answering",
"multilingual",
"arxiv:1910.11856",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | mrm8488 | null | null | mrm8488/bert-multi-cased-finetuned-xquadv1 | 5 | 1,266 | transformers | 2022-03-02T23:29:05 | ---
language: multilingual
thumbnail:
---
# BERT (base-multilingual-cased) fine-tuned for multilingual Q&A
This model was created by [Google](https://github.com/google-research/bert/blob/master/multilingual.md) and fine-tuned on [XQuAD](https://github.com/deepmind/xquad) like data for multilingual (`11 different lang... | 5,019 | [
[
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0.025299072265625,
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0.0290069580078125,
0.00031447410583496094,
-0.05584716796875,
-0.041534423828125,
-0.03198242187... |
timm/tf_mobilenetv3_large_minimal_100.in1k | 2023-04-27T22:49:48.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.02244",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_mobilenetv3_large_minimal_100.in1k | 0 | 1,265 | timm | 2022-12-16T05:39:06 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_mobilenetv3_large_minimal_100.in1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **... | 4,191 | [
[
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-0.059326171875,
-0.04608154296875,
-0.0106... |
vdo/animov-0.1-modelscope-original-format | 2023-04-18T08:02:20.000Z | [
"open_clip",
"anime",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | vdo | null | null | vdo/animov-0.1-modelscope-original-format | 1 | 1,264 | open_clip | 2023-04-18T07:54:37 | ---
license: cc-by-nc-4.0
task_categories:
- text-to-video
language:
- en
tags:
- anime
---
This is https://huggingface.co/datasets/strangeman3107/animov-0.1 model by strangeman3107 that was converted by [me](https://github.com/kabachuha) into the ModelScope original format using this script https://github.com/E... | 882 | [
[
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-0.0119171142578125,
-0.052734375,
-0... |
osiria/bert-italian-uncased-ner | 2023-07-05T23:20:34.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"token-classification",
"it",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | osiria | null | null | osiria/bert-italian-uncased-ner | 1 | 1,264 | transformers | 2023-06-03T10:44:00 | ---
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-... | 4,514 | [
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0.00616455078125,
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0.01535... |
LeBenchmark/wav2vec2-FR-7K-large | 2023-09-14T09:58:38.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"feature-extraction",
"fr",
"arxiv:2309.05472",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | LeBenchmark | null | null | LeBenchmark/wav2vec2-FR-7K-large | 8 | 1,263 | transformers | 2022-03-02T23:29:04 | ---
language: "fr"
thumbnail:
tags:
- wav2vec2
license: "apache-2.0"
---
# LeBenchmark: wav2vec2 large model trained on 7K hours of French speech
LeBenchmark provides an ensemble of pretrained wav2vec2 models on different French datasets containing spontaneous, read, and broadcasted speech. It comes with 2 versio... | 5,618 | [
[
-0.036529541015625,
-0.04119873046875,
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-0.01141357421875,
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0.0278472900390625,
-0.03656005859375,
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TheBloke/OpenAssistant-Llama2-13B-Orca-8K-3319-AWQ | 2023-09-27T12:51:19.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"sft",
"en",
"dataset:ehartford/dolphin",
"dataset:shahules786/orca-chat",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:atom-in-the-universe/fanfics-10k-50k",
"arxiv:2306.02707",
"license:other",
"text-generation-inference"... | text-generation | TheBloke | null | null | TheBloke/OpenAssistant-Llama2-13B-Orca-8K-3319-AWQ | 0 | 1,263 | transformers | 2023-09-19T09:56:59 | ---
language:
- en
license: other
tags:
- sft
datasets:
- ehartford/dolphin
- shahules786/orca-chat
- togethercomputer/RedPajama-Data-1T
- atom-in-the-universe/fanfics-10k-50k
model_name: Llama2 13B Orca 8K 3319
base_model: OpenAssistant/llama2-13b-orca-8k-3319
inference: false
model_creator: OpenAssistant
model_type: ... | 21,224 | [
[
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... |
ArunCoder2002/my-majestic-rocket | 2023-11-01T07:24:02.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | ArunCoder2002 | null | null | ArunCoder2002/my-majestic-rocket | 0 | 1,263 | diffusers | 2023-11-01T07:19:40 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Majestic-Rocket Dreambooth model trained by ArunCoder2002 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: Nandha-491
Sample pictures of this concept:
... | 1,529 | [
[
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BeIR/query-gen-msmarco-t5-large-v1 | 2021-06-23T02:12:04.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | BeIR | null | null | BeIR/query-gen-msmarco-t5-large-v1 | 12 | 1,261 | transformers | 2022-03-02T23:29:04 | # Query Generation
This model is the t5-base model from [docTTTTTquery](https://github.com/castorini/docTTTTTquery).
The T5-base model was trained on the [MS MARCO Passage Dataset](https://github.com/microsoft/MSMARCO-Passage-Ranking), which consists of about 500k real search queries from Bing together with the releva... | 1,493 | [
[
-0.008697509765625,
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-0.002452850341796875,
-0.009185791015625,
-0.0147552490234375,
0.037506103515625,
-0.052001953125,
-0.06622314453125,
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0... |
facebook/galactica-6.7b | 2023-01-24T17:20:42.000Z | [
"transformers",
"pytorch",
"opt",
"text-generation",
"galactica",
"arxiv:1810.03993",
"license:cc-by-nc-4.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | facebook | null | null | facebook/galactica-6.7b | 85 | 1,261 | transformers | 2022-11-16T14:20:00 | ---
license: cc-by-nc-4.0
tags:
- galactica
widget:
- text: "The Transformer architecture [START_REF]"
- text: "The Schwarzschild radius is defined as: \\["
- text: "A force of 0.6N is applied to an object, which accelerates at 3m/s. What is its mass? <work>"
- text: "Lecture 1: The Ising Model\n\n"
- text: "[START_I_... | 7,696 | [
[
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-0.02874755859375,
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0.03167724609375,
0.026092529296875,
-0.0380859375,
-0.0251312255859375,
-0.046356201171875,
0.0056... |
google/efficientnet-b2 | 2023-02-17T10:06:07.000Z | [
"transformers",
"pytorch",
"efficientnet",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | google | null | null | google/efficientnet-b2 | 0 | 1,261 | transformers | 2023-02-15T22:32:36 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... | 2,697 | [
[
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-0.0249786376953125,
0.01546478271484375,
-0.01488494873046875,
-0.04150390625,
-0.01537322998046875,
-0.051788330078125,
0.01271820068359375,
0.017608642578125,
-0.0250244140625,
-0.0099945068359375,
-0.059722900390625,
... |
timm/eva_giant_patch14_560.m30m_ft_in22k_in1k | 2023-03-31T06:02:52.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:merged-30m",
"dataset:imagenet-22k",
"arxiv:2211.07636",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva_giant_patch14_560.m30m_ft_in22k_in1k | 0 | 1,260 | timm | 2022-12-23T02:51:50 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- merged-30m
- imagenet-22k
---
# Model card for eva_giant_patch14_560.m30m_ft_in22k_in1k
An EVA image classification model. Pretrained on Merged-30M (ImageNet-22K, CC12M, CC3M, Object365, COCO (train), ADE20K (train)) with ... | 5,143 | [
[
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nguyenvulebinh/vi-mrc-base | 2022-03-13T20:54:14.000Z | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"vi",
"vn",
"en",
"dataset:squad",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | nguyenvulebinh | null | null | nguyenvulebinh/vi-mrc-base | 10 | 1,259 | 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... | 4,216 | [
[
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0.0276336669921875,
-0.059295654296875,
-0.04449462890625,
-0.04791259765625,
0.014968872... |
facebook/dpr-reader-multiset-base | 2022-12-21T15:19:37.000Z | [
"transformers",
"pytorch",
"tf",
"dpr",
"en",
"dataset:nq_open",
"dataset:trivia_qa",
"dataset:web_questions",
"dataset:trec",
"arxiv:2004.04906",
"arxiv:1702.08734",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"region:us"
] | null | facebook | null | null | facebook/dpr-reader-multiset-base | 0 | 1,258 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: cc-by-nc-4.0
tags:
- dpr
datasets:
- nq_open
- trivia_qa
- web_questions
- trec
inference: false
---
# `dpr-reader-multiset-base`
## Table of Contents
- [Model Details](#model-details)
- [How To Get Started With the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
- [Risks, Limitat... | 8,681 | [
[
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google/pix2struct-chartqa-base | 2023-05-19T10:07:26.000Z | [
"transformers",
"pytorch",
"pix2struct",
"text2text-generation",
"visual-question-answering",
"en",
"fr",
"ro",
"de",
"multilingual",
"arxiv:2210.03347",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"region:us"
] | visual-question-answering | google | null | null | google/pix2struct-chartqa-base | 8 | 1,258 | transformers | 2023-03-21T09:12:03 | ---
language:
- en
- fr
- ro
- de
- multilingual
pipeline_tag: visual-question-answering
inference: false
license: apache-2.0
---
# Model card for Pix2Struct - Finetuned on ChartQA (Visual Question Answering over charts)
![model_image](https://s3.amazonaws.com/moonup/production/uploads/1678713353867-62441d... | 4,463 | [
[
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0.030792236328125,
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digiplay/whatamix_v1 | 2023-07-23T20:20:28.000Z | [
"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/whatamix_v1 | 3 | 1,258 | diffusers | 2023-07-23T17:49:55 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/114888/whatamix
| 179 | [
[
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0.043060302734375,
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0.03619384765625,
0.026275634765625,
-0.050506591796875,
-0.0023784637451171875,
-0.008735656738... |
masterful/gligen-1-4-generation-text-box | 2023-08-18T22:32:17.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:2301.07093",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | masterful | null | null | masterful/gligen-1-4-generation-text-box | 6 | 1,258 | diffusers | 2023-08-08T21:16:55 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
widget:
- text: "A high tech solarpunk utopia in the Amazon rainforest"
example_title: Amazon rainforest
- text: "A pikachu fine dining with a view to the Eiffel Tower"
example_title: Pikachu in Paris
- text: "A... | 10,720 | [
[
-0.0311431884765625,
-0.0604248046875,
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0.0171661376953125,
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-0.03125,
-0.00827789306640625,
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0.0269012451171875,
-0.03240966796875,
-0.039031982421875,
-0.047637939453125,
-0.005... |
minimaxir/sdxl-ugly-sonic-lora | 2023-08-16T15:50:30.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"license:mit",
"has_space",
"region:us"
] | text-to-image | minimaxir | null | null | minimaxir/sdxl-ugly-sonic-lora | 3 | 1,257 | diffusers | 2023-08-16T00:22:21 | ---
license: mit
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
instance_prompt: sonic the hedgehog
widget:
- text: sonic the hedgehog
---
# sdxl-ugly-sonic-lora
A LoRA f... | 2,912 | [
[
-0.04998779296875,
-0.06805419921875,
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0.0264739990234375,
-0.059722900390625,
-0.051361083984375,
-0.0238800048828125,
0.001... |
KES/caribe-capitalise | 2023-05-04T02:01:07.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"sentence capitalization",
"en",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | KES | null | null | KES/caribe-capitalise | 2 | 1,254 | transformers | 2022-06-09T23:47:28 | ---
license: mit
language: en
tags:
- sentence capitalization
- text2text-generation
---
This model utilises T5-base pre-trained model. It was fine tuned using a custom dataset This model was fine-tuned for capitalisation on text that includes multiple sentences or questions.
Interested in Caribbean Creole? Ch... | 1,096 | [
[
-0.0099639892578125,
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0.0479736328125,
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0.00844573974609375,
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0.043487548828125,
-0.038665771484375,
-0.0582275390625,
-0.0562744140625,
0.... |
timm/seresnext50_32x4d.racm_in1k | 2023-04-05T19:34:12.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1611.05431",
"arxiv:1512.03385",
"arxiv:1709.01507",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/seresnext50_32x4d.racm_in1k | 0 | 1,254 | timm | 2023-04-05T19:33:50 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for seresnext50_32x4d.racm_in1k
A SE-ResNeXt-B image classification model with Squeeze-and-Excitation channel attention.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convoluti... | 39,426 | [
[
-0.0645751953125,
-0.0185089111328125,
0.0055084228515625,
0.0273590087890625,
-0.0303802490234375,
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-0.01128387451171875,
-0.0308990478515625,
0.081298828125,
0.022705078125,
-0.04888916015625,
-0.040374755859375,
-0.048797607421875,
-0... |
Norm/nougat-latex-base | 2023-10-10T09:46:04.000Z | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-to-text",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"has_space"
] | image-to-text | Norm | null | null | Norm/nougat-latex-base | 13 | 1,253 | transformers | 2023-10-08T05:59:04 | ---
license: apache-2.0
language:
- en
pipeline_tag: image-to-text
---
# Nougat-LaTeX-based
- **Model type:** [Donut](https://huggingface.co/docs/transformers/model_doc/donut)
- **Finetuned from:** [facebook/nougat-base](https://huggingface.co/facebook/nougat-base)
- **Repository:** [source code](https://github.com/N... | 3,348 | [
[
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0.003997802734375,
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-0.0338134765625,
-0.036529541015625,
-0.052459716796875,
... |
cl-tohoku/bert-large-japanese-char | 2021-09-23T13:45:39.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ja",
"dataset:wikipedia",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | cl-tohoku | null | null | cl-tohoku/bert-large-japanese-char | 4 | 1,251 | transformers | 2022-03-02T23:29:05 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
widget:
- text: 東北大学で[MASK]の研究をしています。
---
# BERT large Japanese (character-level tokenization with whole word masking, jawiki-20200831)
This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japanese language.
This versi... | 2,575 | [
[
-0.0316162109375,
-0.0653076171875,
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0.0172271728515625,
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-0.0290985107421875,
-0.037933349609375,
0.038909912109375,
0.039642333984375,
-0.049346923828125,
-0.040435791015625,
-0.04742431640625,
0.00... |
timm/convnext_small.fb_in1k | 2023-03-31T22:33:35.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_small.fb_in1k | 0 | 1,251 | timm | 2022-12-13T07:13:00 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_small.fb_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Sta... | 15,619 | [
[
-0.06695556640625,
-0.032745361328125,
-0.003326416015625,
0.03765869140625,
-0.03228759765625,
-0.015777587890625,
-0.01251983642578125,
-0.03448486328125,
0.06597900390625,
0.01715087890625,
-0.04400634765625,
-0.04205322265625,
-0.050506591796875,
-0.0027... |
biodatlab/whisper-th-medium-combined | 2023-10-03T07:27:54.000Z | [
"transformers",
"pytorch",
"tensorboard",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"generated_from_trainer",
"th",
"dataset:mozilla-foundation/common_voice_13_0",
"dataset:google/fleurs",
"doi:10.57967/hf/0227",
"license:apache-2.0",
"model-index",
"endpoints_compatible"... | automatic-speech-recognition | biodatlab | null | null | biodatlab/whisper-th-medium-combined | 7 | 1,251 | transformers | 2022-12-14T22:58:12 | ---
language:
- th
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Medium Thai Combined V3 - biodatlab
results:
- task:
name: Automatic Speech Recognition
type: automatic-speec... | 3,091 | [
[
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0.02215576171875,
-0.040771484375,
-0.04388427734375,
-0.0478515625,
-0.006381988525390... |
nickypro/tinyllama-15M | 2023-09-21T14:49:53.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | nickypro | null | null | nickypro/tinyllama-15M | 0 | 1,251 | transformers | 2023-09-16T12:53:54 | ---
license: mit
---
This is the 15M parameter Llama 2 architecture model trained on the TinyStories dataset.
These are converted from
[karpathy/tinyllamas](https://huggingface.co/karpathy/tinyllamas).
See the [llama2.c](https://github.com/karpathy/llama2.c) project for more details. | 285 | [
[
-0.0251922607421875,
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0.01454925537109375,
-0.031097412109375,
-0.012786865234375,
0.0203399658203125,
-0.03387451171875,
0.0088653564453125,
0.04461669921875,
-0.0552978515625,
-0.024749755859375,
-0.03302001953125,
-0.... |
caisarl76/Mistral-7B-orca-platy-2k-ep4 | 2023-10-22T15:18:17.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"MindsAndCompany",
"en",
"ko",
"dataset:kyujinpy/KOpen-platypus",
"dataset:kyujinpy/OpenOrca-KO",
"arxiv:2306.02707",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | caisarl76 | null | null | caisarl76/Mistral-7B-orca-platy-2k-ep4 | 0 | 1,250 | transformers | 2023-10-22T15:10:52 | ---
pipeline_tag: text-generation
license: mit
language:
- en
- ko
library_name: transformers
tags:
- MindsAndCompany
datasets:
- kyujinpy/KOpen-platypus
- kyujinpy/OpenOrca-KO
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0... | 3,455 | [
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-0.04571533203125,
-0.00348663330... |
tugstugi/bert-large-mongolian-cased | 2021-05-20T08:16:24.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"mongolian",
"cased",
"mn",
"arxiv:1810.04805",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | tugstugi | null | null | tugstugi/bert-large-mongolian-cased | 0 | 1,248 | transformers | 2022-03-02T23:29:05 | ---
language: "mn"
tags:
- bert
- mongolian
- cased
---
# BERT-LARGE-MONGOLIAN-CASED
[Link to Official Mongolian-BERT repo](https://github.com/tugstugi/mongolian-bert)
## Model description
This repository contains pre-trained Mongolian [BERT](https://arxiv.org/abs/1810.04805) models trained by [tugstugi](https://gith... | 2,597 | [
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timm/beit_base_patch16_384.in22k_ft_in22k_in1k | 2023-05-08T23:20:12.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2106.08254",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/beit_base_patch16_384.in22k_ft_in22k_in1k | 0 | 1,248 | timm | 2022-12-23T02:25:55 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for beit_base_patch16_384.in22k_ft_in22k_in1k
A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visual... | 3,735 | [
[
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-0.0... |
Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator | 2023-03-22T00:57:27.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"art",
"code",
"en",
"dataset:Gustavosta/Stable-Diffusion-Prompts",
"dataset:bartman081523/stable-diffusion-discord-prompts",
"dataset:Ar4ikov/sd_filtered_2m",
"license:mit",
"endpoints_compatible",
"has_space",
"text-g... | text-generation | Ar4ikov | null | null | Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator | 28 | 1,248 | transformers | 2023-01-11T22:57:19 | ---
license: mit
datasets:
- Gustavosta/Stable-Diffusion-Prompts
- bartman081523/stable-diffusion-discord-prompts
- Ar4ikov/sd_filtered_2m
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- art
- code
widget:
- text: A Tokio town landscape, sunset, by
- text: A Tokio town landscape, sunset
... | 1,362 | [
[
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-0.045166015625,
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0.... |
instruction-tuning-sd/cartoonizer | 2023-05-13T07:45:33.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"image-to-image",
"art",
"dataset:instruction-tuning-sd/cartoonization",
"license:mit",
"has_space",
"diffusers:StableDiffusionInstructPix2PixPipeline",
"region:us"
] | image-to-image | instruction-tuning-sd | null | null | instruction-tuning-sd/cartoonizer | 25 | 1,247 | diffusers | 2023-03-18T03:34:57 | ---
license: mit
tags:
- stable-diffusion
- stable-diffusion-diffusers
- image-to-image
- art
widget:
- src: >-
https://hf.co/datasets/diffusers/diffusers-images-docs/resolve/main/mountain.png
prompt: Cartoonize the following image
datasets:
- instruction-tuning-sd/cartoonization
---
# Instruction-... | 3,899 | [
[
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0.0141754150390625,
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-0.... |
timm/mobilevit_xxs.cvnets_in1k | 2023-04-24T22:23:35.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.02178",
"license:other",
"region:us"
] | image-classification | timm | null | null | timm/mobilevit_xxs.cvnets_in1k | 0 | 1,246 | timm | 2023-04-24T22:23:25 | ---
tags:
- image-classification
- timm
library_name: timm
license: other
datasets:
- imagenet-1k
---
# Model card for mobilevit_xxs.cvnets_in1k
A MobileViT image classification model. Trained on ImageNet-1k by paper authors.
See license details at https://github.com/apple/ml-cvnets/blob/main/LICENSE
## Model Detail... | 3,760 | [
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shibing624/mengzi-t5-base-chinese-correction | 2023-03-19T01:45:31.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"zh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | shibing624 | null | null | shibing624/mengzi-t5-base-chinese-correction | 21 | 1,244 | transformers | 2022-06-17T07:58:45 | ---
language:
- zh
tags:
- t5
- pytorch
- zh
license: "apache-2.0"
---
# T5 for Chinese Spelling Correction Model
中文拼写纠错模型
`shibing624/mengzi-t5-base-chinese-correction` evaluate SIGHAN2015 test data：
- Sentence Level: precision:0.8321, recall:0.6390, f1:0.7229
训练使用的数据集为下方提供的“SIGHAN+Wang271K中文纠错数据集”，在SIGHAN2015的测试... | 2,127 | [
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-0.036346435546875... |
EleutherAI/pythia-1b-deduped-v0 | 2023-07-10T01:32:03.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"pythia_v0",
"en",
"dataset:EleutherAI/the_pile_deduplicated",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",... | text-generation | EleutherAI | null | null | EleutherAI/pythia-1b-deduped-v0 | 9 | 1,244 | transformers | 2022-10-18T03:08:13 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
- pythia_v0
license: apache-2.0
datasets:
- EleutherAI/the_pile_deduplicated
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research. It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8... | 11,876 | [
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-0.024444580078125,
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-0.03652954101562... |
timm/convnext_pico_ols.d1_in1k | 2023-03-31T22:33:03.000Z | [
"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_ols.d1_in1k | 0 | 1,244 | timm | 2022-12-13T07:12:49 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_pico_ols.d1_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- *... | 15,643 | [
[
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-... |
Printemps/Prastone | 2023-07-23T04:24:08.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | Printemps | null | null | Printemps/Prastone | 8 | 1,244 | diffusers | 2023-06-21T12:01:55 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
---
**This model is a light color model. <br/>这个模型是一个淡色系模型<br/>It is easier to create light-colored and more cute portraits. <br/>更容易出浅色风格和更幼态的画像。<br/>It seems that more fleshy wh... | 2,647 | [
[
-0.039794921875,
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-0.045318603515625,
-0.04144287109375,
-0.04669189453125,
0.01527... |
DILAB-HYU/KoQuality-Polyglot-5.8b | 2023-11-05T11:49:45.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"polyglot-ko",
"gpt-neox",
"KoQuality",
"ko",
"dataset:DILAB-HYU/KoQuality",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | DILAB-HYU | null | null | DILAB-HYU/KoQuality-Polyglot-5.8b | 1 | 1,243 | transformers | 2023-09-24T14:07:52 | ---
language:
- ko
license: apache-2.0
tags:
- generated_from_trainer
- polyglot-ko
- gpt-neox
- KoQuality
datasets:
- DILAB-HYU/KoQuality
pipeline_tag: text-generation
base_model: EleutherAI/polyglot-ko-5.8b
model-index:
- name: KoAlpaca-Polyglot-5.8B
results: []
---
# **KoQuality-Polyglot-5.8b**
KoQuality-Polyglot... | 3,725 | [
[
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-0.017135620... |
EarthnDusk/malware-dream-v2 | 2023-06-02T01:39:54.000Z | [
"diffusers",
"stable diffusion",
"anime",
"finetune",
"text-to-image",
"en",
"dataset:Nerfgun3/bad_prompt",
"dataset:gsdf/EasyNegative",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | EarthnDusk | null | null | EarthnDusk/malware-dream-v2 | 1 | 1,242 | diffusers | 2023-05-31T12:51:12 | ---
license: creativeml-openrail-m
datasets:
- Nerfgun3/bad_prompt
- gsdf/EasyNegative
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable diffusion
- anime
- finetune
---
# Original Finetune based on https://civitai.com/models/20562
---
Join our Reddit: https://www.reddit.com/r/earthndus... | 1,155 | [
[
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0.038543701171875,
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-0.0330810546875,
-0.0242919921875,
-0.008361816... |
facebook/mms-tts-hin | 2023-09-06T13:33:08.000Z | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | facebook | null | null | facebook/mms-tts-hin | 3 | 1,242 | transformers | 2023-09-01T10:23:47 |
---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Hindi Text-to-Speech
This repository contains the **Hindi (hin)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.org/ab... | 3,990 | [
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tomaarsen/span-marker-bert-base-fewnerd-fine-super | 2023-09-26T13:33:51.000Z | [
"span-marker",
"pytorch",
"safetensors",
"token-classification",
"ner",
"named-entity-recognition",
"generated_from_span_marker_trainer",
"en",
"dataset:DFKI-SLT/few-nerd",
"license:cc-by-sa-4.0",
"model-index",
"has_space",
"region:us"
] | token-classification | tomaarsen | null | null | tomaarsen/span-marker-bert-base-fewnerd-fine-super | 6 | 1,241 | span-marker | 2023-03-31T07:28:50 | ---
language:
- en
license: cc-by-sa-4.0
library_name: span-marker
tags:
- span-marker
- token-classification
- ner
- named-entity-recognition
- generated_from_span_marker_trainer
datasets:
- DFKI-SLT/few-nerd
metrics:
- f1
- recall
- precision
pipeline_tag: token-classification
widget:
- text: Amelia Earhart flew her ... | 14,300 | [
[
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0.029296875,
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-0.059112548828125,
-0.0308380126953125,
0.001542091369628... |
theblackcat102/alpaca-title-generator-mt0-large | 2023-04-10T22:52:49.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"text-generation-inference",
"en",
"zh",
"de",
"fr",
"ja",
"ko",
"es",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | theblackcat102 | null | null | theblackcat102/alpaca-title-generator-mt0-large | 3 | 1,241 | transformers | 2023-04-07T00:57:38 | ---
license: mit
language:
- en
- zh
- de
- fr
- ja
- ko
- es
widget:
- text: Hi assistant How can I help you
- text: Guten Morgen! Wie kann ich Ihnen helfen?
- text: どうすれば運動を続けられますか？ 運動を続けることは、健康的な生活を維持する上で非常に重要ですが、モチベーションを維持することが難しい場合があります。以下にいくつかの方法を紹介します。
- text: 세계 1차 대전은 1914년부터 1918년까지 전 세계적으로 벌어진 대규모 전쟁입니다. 주요한... | 1,764 | [
[
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-0.0562744140625,
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0.0185699462890625,
-0.038787841796875,
-0.0016632080078125,
-0.0007166862487792969,
-0.00750732421875,
0.02783203125,
0.029541015625,
-0.043731689453125,
-0.0210723876953125,
-0.043121337890625,
0... |
badmonk/lxsa | 2023-07-21T01:02:20.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | badmonk | null | null | badmonk/lxsa | 1 | 1,241 | diffusers | 2023-07-16T09:53:35 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
# Model Card for LXSA
## Model Description
- **Developed by:** BADMONK
- **Model type:** Dreambooth Model + Extracted LoRA
- **Language(s) (NLP):** EN
- **License:** Creativeml-Openrail-M
- **Parent Model:** ???
# How to ... | 417 | [
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-0.031402587890625,
-0.03201293... |
masterful/gligen-1-4-inpainting-text-box | 2023-08-28T04:02:23.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"image-to-image",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:2301.07093",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | image-to-image | masterful | null | null | masterful/gligen-1-4-inpainting-text-box | 2 | 1,241 | diffusers | 2023-08-08T21:17:20 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- image-to-image
widget:
- text: A high tech solarpunk utopia in the Amazon rainforest
example_title: Amazon rainforest
- text: A pikachu fine dining with a view to the Eiffel Tower
example_title: Pikachu in Paris
- text: A mec... | 10,384 | [
[
-0.0285491943359375,
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0.025421142578125,
0.0170440673828125,
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0.0300140380859375,
-0.0292205810546875,
-0.039459228515625,
-0.04791259765625,
... |
nitrosocke/spider-verse-diffusion | 2023-05-16T09:21:21.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | nitrosocke | null | null | nitrosocke/spider-verse-diffusion | 341 | 1,240 | diffusers | 2022-10-07T02:19:16 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
---
**Spider-Verse Diffusion**
This is the fine-tuned Stable Diffusion model trained on movie stills from Sony's Into the Spider-Verse.
Use the tokens **_spiderverse style_** in your prompts for the effect.
**If y... | 2,597 | [
[
-0.029510498046875,
-0.042938232421875,
0.02618408203125,
0.00980377197265625,
-0.0285186767578125,
0.0022735595703125,
0.021942138671875,
-0.0215301513671875,
0.037841796875,
0.030853271484375,
-0.02935791015625,
-0.0225830078125,
-0.063232421875,
-0.004871... |
llm-jp/llm-jp-1.3b-v1.0 | 2023-10-20T08:20:49.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"en",
"ja",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | llm-jp | null | null | llm-jp/llm-jp-1.3b-v1.0 | 3 | 1,239 | transformers | 2023-10-18T15:56:10 | ---
license: apache-2.0
language:
- en
- ja
programming_language:
- C
- C++
- C#
- Go
- Java
- JavaScript
- Lua
- PHP
- Python
- Ruby
- Rust
- Scala
- TypeScript
library_name: transformers
pipeline_tag: text-generation
inference: false
---
# llm-jp-1.3b-v1.0
This repository provides large... | 5,837 | [
[
-0.0350341796875,
-0.0523681640625,
0.0192718505859375,
0.0233306884765625,
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-0.00005716085433959961,
-0.0169525146484375,
-0.03759765625,
0.02203369140625,
0.032867431640625,
-0.05352783203125,
-0.050445556640625,
-0.045989990234375,
0.0... |
microsoft/GODEL-v1_1-base-seq2seq | 2023-01-24T17:18:38.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"conversational",
"arxiv:2206.11309",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | conversational | microsoft | null | null | microsoft/GODEL-v1_1-base-seq2seq | 65 | 1,237 | transformers | 2022-10-18T21:47:53 | ---
thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
tags:
- conversational
license: mit
---
### Large-Scale Pre-Training for Goal-Directed Dialog (GODEL)
GODEL is a large-scale pre-trained model for goal-directed dialogs. It is parameterized with a Transformer-based encoder-decoder model and trained f... | 3,591 | [
[
-0.025177001953125,
-0.0693359375,
0.028961181640625,
-0.005489349365234375,
-0.0001118779182434082,
-0.01373291015625,
-0.00920867919921875,
-0.0223388671875,
0.00482177734375,
0.009613037109375,
-0.05609130859375,
-0.0294036865234375,
-0.0341796875,
-0.003... |
huggingface/informer-tourism-monthly | 2023-02-24T10:32:49.000Z | [
"transformers",
"pytorch",
"informer",
"dataset:monash_tsf",
"arxiv:2012.07436",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | huggingface | null | null | huggingface/informer-tourism-monthly | 0 | 1,235 | transformers | 2023-02-15T14:53:15 | ---
license: apache-2.0
datasets:
- monash_tsf
---
# Informer
## Overview
The Informer model was proposed in [Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting ](https://arxiv.org/abs/2012.07436) by Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai... | 2,138 | [
[
-0.03338623046875,
-0.0292816162109375,
0.0307769775390625,
0.0257720947265625,
-0.01044464111328125,
-0.03228759765625,
-0.01080322265625,
-0.048736572265625,
-0.00054931640625,
0.026519775390625,
-0.05218505859375,
0.01393890380859375,
-0.036651611328125,
... |
Guizmus/SDArt_cosmichorrors768 | 2023-04-22T10:20:24.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"image-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Guizmus | null | null | Guizmus/SDArt_cosmichorrors768 | 0 | 1,235 | diffusers | 2023-04-12T08:59:55 | ---
language:
- en
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/Guizmus/SDArt_cosmichorrors768/resolve/main/showcase.jpg"
tags:
- stable-diffusion
- text-to-image
- image-to-image
---
# SDArt : Cosmic Horrors (version based on 2.1 768px)
![Showcase](https://huggingface.co/Guizmus/SDArt_cosmichorro... | 4,857 | [
[
-0.04864501953125,
-0.057220458984375,
0.028472900390625,
0.01155853271484375,
-0.0285491943359375,
-0.01078033447265625,
0.01464080810546875,
-0.033172607421875,
0.047698974609375,
0.0266265869140625,
-0.052032470703125,
-0.03741455078125,
-0.061431884765625,
... |
digiplay/FishMix_v1.1 | 2023-07-19T21:23:51.000Z | [
"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 | 4 | 1,235 | diffusers | 2023-07-19T18:06:29 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/15745?modelVersionId=27424
Original Author's DEMO images :
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/230418ca-e751-4a48-7787-bc5dbf1b7d00/width=1... | 681 | [
[
-0.035552978515625,
-0.0175933837890625,
0.033721923828125,
0.013336181640625,
-0.029083251953125,
-0.013092041015625,
0.01309967041015625,
-0.00267791748046875,
0.036407470703125,
0.029022216796875,
-0.06256103515625,
-0.024200439453125,
-0.0087890625,
-0.0... |
p208p2002/llama-traditional-chinese-120M | 2023-11-06T07:12:01.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"chinese",
"english",
"generate",
"gpt2",
"zh",
"en",
"dataset:wikipedia",
"dataset:p208p2002/wudao",
"dataset:c4",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | p208p2002 | null | null | p208p2002/llama-traditional-chinese-120M | 0 | 1,235 | transformers | 2023-09-19T09:06:00 | ---
datasets:
- wikipedia
- p208p2002/wudao
- c4
language:
- zh
- en
tags:
- chinese
- english
- generate
- gpt2
- llama
inference:
parameters:
max_new_tokens: 50
do_sample: true
widget:
- text: 粉圓，在珍珠奶茶中也稱波霸或珍珠，是一種
pipeline_tag: text-generation
---
# LLaMA Traditional Chinese 120M
一個雙語(繁體中文、英文)預訓練的小型語言模型。
雖... | 4,893 | [
[
-0.049591064453125,
-0.0360107421875,
0.02325439453125,
0.025146484375,
-0.04705810546875,
-0.0002682209014892578,
-0.0010547637939453125,
-0.0291900634765625,
0.0440673828125,
0.02020263671875,
-0.0291900634765625,
-0.036224365234375,
-0.0443115234375,
0.01... |
badmonk/albacat | 2023-07-21T01:44:53.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | badmonk | null | null | badmonk/albacat | 1 | 1,234 | diffusers | 2023-07-16T08:49:17 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
# Model Card for ALBACAT
## Model Description
- **Developed by:** BADMONK
- **Model type:** Dreambooth Model + Extracted LoRA
- **Language(s) (NLP):** EN
- **License:** Creativeml-Openrail-M
- **Parent Model:** chikmajicmi... | 437 | [
[
-0.023529052734375,
-0.0270233154296875,
0.01332855224609375,
0.019073486328125,
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0.038726806640625,
-0.04443359375,
0.060028076171875,
0.06268310546875,
-0.047210693359375,
-0.044342041015625,
-0.029815673828125,
-0.025... |
stablediffusionapi/copax-sdxl | 2023-09-08T05:03:51.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/copax-sdxl | 1 | 1,232 | diffusers | 2023-09-08T05:01:46 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Copax-SDXL API Inference
## Get API Key
Get API key f... | 2,435 | [
[
-0.032012939453125,
-0.048828125,
0.045867919921875,
0.028656005859375,
-0.041961669921875,
0.016021728515625,
0.032470703125,
-0.039093017578125,
0.03790283203125,
0.048858642578125,
-0.05670166015625,
-0.07342529296875,
-0.0294036865234375,
-0.005462646484... |
timm/convnextv2_femto.fcmae | 2023-03-31T23:07:06.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_femto.fcmae | 0 | 1,231 | timm | 2023-01-05T01:39:38 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
---
# Model card for convnextv2_femto.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 fi... | 15,743 | [
[
-0.06964111328125,
-0.0310516357421875,
-0.0033969879150390625,
0.03875732421875,
-0.0313720703125,
-0.01537322998046875,
-0.0121002197265625,
-0.035430908203125,
0.06573486328125,
0.019195556640625,
-0.045318603515625,
-0.0389404296875,
-0.05255126953125,
-... |
timm/maxvit_nano_rw_256.sw_in1k | 2023-05-11T00:14:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_nano_rw_256.sw_in1k | 0 | 1,231 | timm | 2023-01-20T21:31:48 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_nano_rw_256.sw_in1k
A timm specific MaxViT image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
ImageNet-1k training done on TPUs thanks to support of the [TRC](... | 22,112 | [
[
-0.054779052734375,
-0.0318603515625,
0.0015211105346679688,
0.0294952392578125,
-0.0251007080078125,
-0.016754150390625,
-0.01056671142578125,
-0.0236968994140625,
0.054473876953125,
0.0158233642578125,
-0.043182373046875,
-0.045928955078125,
-0.045928955078125... |
microsoft/git-large-r-textcaps | 2023-02-08T10:50:43.000Z | [
"transformers",
"pytorch",
"git",
"text-generation",
"vision",
"image-captioning",
"image-to-text",
"en",
"arxiv:2205.14100",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | microsoft | null | null | microsoft/git-large-r-textcaps | 7 | 1,229 | transformers | 2023-01-22T19:24:43 | ---
language: en
license: mit
tags:
- vision
- image-captioning
model_name: microsoft/git-large-textcaps
pipeline_tag: image-to-text
---
# GIT (GenerativeImage2Text), large-sized, fine-tuned on TextCaps, R*
R = re-trained by removing some offensive captions in cc12m dataset
GIT (short for GenerativeImage2Text) model... | 3,244 | [
[
-0.0450439453125,
-0.049041748046875,
0.013214111328125,
-0.01309967041015625,
-0.035186767578125,
0.00453948974609375,
-0.0172882080078125,
-0.036407470703125,
0.0245208740234375,
0.031890869140625,
-0.05010986328125,
-0.031707763671875,
-0.06793212890625,
... |
TheBloke/WizardCoder-Python-34B-V1.0-GPTQ | 2023-09-27T12:46:20.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"code",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"arxiv:2303.08774",
"license:llama2",
"model-index",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/WizardCoder-Python-34B-V1.0-GPTQ | 60 | 1,229 | transformers | 2023-08-26T11:41:52 | ---
license: llama2
library_name: transformers
tags:
- code
metrics:
- code_eval
base_model: WizardLM/WizardCoder-Python-34B-V1.0
inference: false
model_creator: WizardLM
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
#... | 23,835 | [
[
-0.0367431640625,
-0.056060791015625,
-0.00582122802734375,
0.0128173828125,
-0.0100250244140625,
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0.001338958740234375,
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0.00751495361328125,
0.027069091796875,
-0.034088134765625,
-0.03546142578125,
-0.033111572265625,
... |
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