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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
shi-labs/oneformer_ade20k_dinat_large | 2023-08-30T00:03:28.000Z | [
"transformers",
"pytorch",
"oneformer",
"vision",
"image-segmentation",
"dataset:scene_parse_150",
"arxiv:2211.06220",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | shi-labs | null | null | shi-labs/oneformer_ade20k_dinat_large | 4 | 1,369 | transformers | 2022-11-15T20:25:34 | ---
license: mit
tags:
- vision
- image-segmentation
datasets:
- scene_parse_150
widget:
- src: https://praeclarumjj3.github.io/files/ade20k.jpeg
example_title: House
- src: https://praeclarumjj3.github.io/files/demo_2.jpg
example_title: Airplane
- src: https://praeclarumjj3.github.io/files/coco.jpeg
example_titl... | 3,666 | [
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-0.047882080078125,
-0.017... |
kabachuha/modelscope-damo-text2video-pruned-weights | 2023-03-23T12:19:20.000Z | [
"open_clip",
"license:cc-by-nc-4.0",
"region:us"
] | null | kabachuha | null | null | kabachuha/modelscope-damo-text2video-pruned-weights | 32 | 1,367 | open_clip | 2023-03-22T08:42:25 | ---
license: cc-by-nc-4.0
---
https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis, but with fp16 (half precision) weights
Read all the info here https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis/blob/main/README.md
| 263 | [
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mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es | 2021-05-20T00:22:53.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"question-answering",
"es",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | mrm8488 | null | null | mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es | 6 | 1,366 | transformers | 2022-03-02T23:29:05 | ---
language: es
thumbnail: https://i.imgur.com/jgBdimh.png
---
# BETO (Spanish BERT) + Spanish SQuAD2.0
This model is provided by [BETO team](https://github.com/dccuchile/beto) and fine-tuned on [SQuAD-es-v2.0](https://github.com/ccasimiro88/TranslateAlignRetrieve) for **Q&A** downstream task.
## Details of the lan... | 3,040 | [
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AstraliteHeart/pony-diffusion | 2023-05-16T09:20:10.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:bigscience-bloom-rail-1.0",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | AstraliteHeart | null | null | AstraliteHeart/pony-diffusion | 57 | 1,366 | diffusers | 2022-10-01T01:16:37 | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
license: bigscience-bloom-rail-1.0
inference: true
thumbnail: "https://cdn.discordapp.com/attachments/1020199895694589953/1020200601780494386/000001.553325548.png"
---
# pony-diffusion - >nohooves
**[Pony Diffusion V4 is now live!](https://huggingface.co/Ast... | 4,601 | [
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inseq/wmt21-mlqe-ru-en | 2023-01-30T22:15:30.000Z | [
"transformers",
"pytorch",
"fsmt",
"text2text-generation",
"translation",
"wmt20",
"en",
"ru",
"multilingual",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | inseq | null | null | inseq/wmt21-mlqe-ru-en | 0 | 1,366 | transformers | 2023-01-30T12:34:11 | ---
language:
- en
- ru
- multilingual
license: cc-by-sa-4.0
tags:
- translation
- wmt20
widget:
- text: "Сахалинская кайнозойская складчатая область разделяется на Восточную и Западную зоны, разделённые Центрально-Сахалинским грабеном."
- text: "Существует несколько мнений о его точном месторасположении."
- text: "Кру... | 1,101 | [
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lexlms/legal-roberta-base | 2023-05-15T13:48:14.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"legal",
"en",
"dataset:lexlms/lex_files",
"arxiv:2305.07507",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | lexlms | null | null | lexlms/legal-roberta-base | 4 | 1,365 | transformers | 2022-11-11T11:15:13 | ---
language: en
pipeline_tag: fill-mask
license: cc-by-sa-4.0
tags:
- legal
model-index:
- name: lexlms/legal-roberta-base
results: []
widget:
- text: "The applicant submitted that her husband was subjected to treatment amounting to <mask> whilst in the custody of police."
- text: "This <mask> Agreement is between G... | 5,156 | [
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Salesforce/codet5p-770m-py | 2023-05-16T00:31:41.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"arxiv:2305.07922",
"license:bsd-3-clause",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Salesforce | null | null | Salesforce/codet5p-770m-py | 18 | 1,364 | transformers | 2023-05-15T09:57:01 | ---
license: bsd-3-clause
---
# CodeT5+ 770M (further tuned on Python)
## Model description
[CodeT5+](https://github.com/salesforce/CodeT5/tree/main/CodeT5+) is a new family of open code large language models with an encoder-decoder architecture that can flexibly operate in different modes (i.e. _encoder-only_, _dec... | 5,020 | [
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timm/convformer_b36.sail_in1k | 2023-05-05T05:55:15.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2210.13452",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convformer_b36.sail_in1k | 0 | 1,362 | timm | 2023-05-05T05:53:51 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convformer_b36.sail_in1k
A ConvFormer (a MetaFormer) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbo... | 3,642 | [
[
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mncai/Mistral-7B-v0.1-orca-1k | 2023-10-22T04:33:28.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"MindsAndCompany",
"en",
"ko",
"dataset:kyujinpy/OpenOrca-KO",
"arxiv:2306.02707",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mncai | null | null | mncai/Mistral-7B-v0.1-orca-1k | 0 | 1,362 | transformers | 2023-10-22T04:19:01 | ---
pipeline_tag: text-generation
license: mit
language:
- en
- ko
library_name: transformers
tags:
- MindsAndCompany
datasets:
- kyujinpy/OpenOrca-KO
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0.1)
* **Library**: [Huggin... | 3,404 | [
[
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timm/maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k | 2023-05-11T00:50:56.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2204.01697",
"arxiv:2201.03545",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k | 1 | 1,360 | timm | 2023-01-20T21:38:37 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k
A timm specific MaxxViT-V2 (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classificatio... | 22,585 | [
[
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SJ-Ray/Re-Punctuate | 2022-06-29T09:05:36.000Z | [
"transformers",
"tf",
"t5",
"text2text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | SJ-Ray | null | null | SJ-Ray/Re-Punctuate | 7 | 1,359 | transformers | 2022-03-16T16:10:00 | ---
license: apache-2.0
---
<h2>Re-Punctuate:</h2>
Re-Punctuate is a T5 model that attempts to correct Capitalization and Punctuations in the sentences.
<h3>DataSet:</h3>
DialogSum dataset (115056 Records) was used to fine-tune the model for Punctuation and Capitalization correction.
<h3>Usage:</h3>
<pre>
from tr... | 1,316 | [
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luongphamit/NeverEnding-Dream2 | 2023-03-21T03:01:41.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"art",
"artistic",
"en",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | luongphamit | null | null | luongphamit/NeverEnding-Dream2 | 11 | 1,359 | diffusers | 2023-03-21T03:01:16 | ---
language:
- en
license: other
tags:
- stable-diffusion
- text-to-image
- art
- artistic
- diffusers
inference: true
duplicated_from: Lykon/NeverEnding-Dream
---
# NeverEnding Dream (NED)
## Official Repository
Read more about this model here: https://civitai.com/models/10028/neverending-dream-ned
Also please supp... | 1,069 | [
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-0.05560302734375,
-0.050018310546875,
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openbmb/VisCPM-Chat | 2023-08-12T11:45:22.000Z | [
"transformers",
"pytorch",
"viscpmchatbee",
"feature-extraction",
"custom_code",
"zh",
"en",
"has_space",
"region:us"
] | feature-extraction | openbmb | null | null | openbmb/VisCPM-Chat | 15 | 1,358 | transformers | 2023-06-28T02:18:29 | ---
language:
- zh
- en
---
# VisCPM
简体中文 | [English](README_en.md)
<p align="center">
<p align="left">
<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a>
<a href=""><img src="https://img.shields.io/badge/python-3.8+-aff.svg"></a>
</p>
`VisCPM` is a family of open-sour... | 8,373 | [
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mirroring/civitai_mirror | 2023-11-06T17:19:21.000Z | [
"diffusers",
"Civitai",
"mirror",
"stable diffusion",
"text-to-image",
"license:wtfpl",
"has_space",
"region:us"
] | text-to-image | mirroring | null | null | mirroring/civitai_mirror | 50 | 1,357 | diffusers | 2023-03-28T23:16:54 | ---
license: wtfpl
pipeline_tag: text-to-image
tags:
- Civitai
- mirror
- stable diffusion
---
# A mirror of anything interesting on civitai or elsewhere on the web.
This repo is *mostly* organized around the structure
that's necessary to import the entire repo into an
automatic1111 install. This is because models ... | 8,510 | [
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0.01249... |
lcw99/llama2-ko-chang-instruct-chat | 2023-11-06T22:22:11.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"ko",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | lcw99 | null | null | lcw99/llama2-ko-chang-instruct-chat | 1 | 1,355 | transformers | 2023-10-03T08:02:04 | ---
language:
- en
- ko
---
base model [beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b) | 105 | [
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0.00... |
deepset/gelectra-large | 2022-08-15T11:50:29.000Z | [
"transformers",
"pytorch",
"tf",
"electra",
"pretraining",
"de",
"dataset:wikipedia",
"dataset:OPUS",
"dataset:OpenLegalData",
"dataset:oscar",
"arxiv:2010.10906",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | null | deepset | null | null | deepset/gelectra-large | 15 | 1,353 | transformers | 2022-03-02T23:29:05 | ---
language: de
license: mit
datasets:
- wikipedia
- OPUS
- OpenLegalData
- oscar
---
# German ELECTRA large
Released, Oct 2020, this is a German ELECTRA language model trained collaboratively by the makers of the original German BERT (aka "bert-base-german-cased") and the dbmdz BERT (aka bert-base-german-dbmdz-case... | 1,942 | [
[
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ELiRF/NASES | 2023-07-18T11:28:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"summarization",
"es",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | summarization | ELiRF | null | null | ELiRF/NASES | 3 | 1,352 | transformers | 2022-03-02T23:29:04 | ---
language: es
tags:
- summarization
widget:
- text: "La Agencia Valenciana de la Innovación (AVI) financia el desarrollo de un software que integra diferentes modelos y tecnologías para la monitorización y análisis multilingüe de las redes sociales. A través de técnicas de 'deep learning' y procesamiento del lengu... | 5,258 | [
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phob0s/bert-tiny | 2023-01-26T09:55:34.000Z | [
"transformers",
"pytorch",
"endpoints_compatible",
"region:us"
] | null | phob0s | null | null | phob0s/bert-tiny | 1 | 1,351 | transformers | 2023-01-19T08:53:21 | Testclone of https://huggingface.co/prajjwal1/bert-tiny
Mentioned in
* Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics(Bhargava, Drozd and Rogers)
* Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation (Turc et al.) | 277 | [
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-0.035797119140625,
0.01392364501953125,
-0.00949859619140625,
-0.045989990234375,
-0.00775146484375,
-0.01910400390625... |
mncai/Mistral-7B-v0.1-platy-1k | 2023-10-22T04:57:06.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"MindsAndCompany",
"en",
"ko",
"dataset:kyujinpy/KOpen-platypus",
"arxiv:2306.02707",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mncai | null | null | mncai/Mistral-7B-v0.1-platy-1k | 0 | 1,351 | transformers | 2023-10-22T04:44:03 | ---
pipeline_tag: text-generation
license: mit
language:
- en
- ko
library_name: transformers
tags:
- MindsAndCompany
datasets:
- kyujinpy/KOpen-platypus
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0.1)
* **Library**: [Hug... | 3,412 | [
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ostris/embroidery_style_lora_sdxl | 2023-08-15T01:25:42.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"sdxl",
"license:apache-2.0",
"region:us",
"has_space"
] | text-to-image | ostris | null | null | ostris/embroidery_style_lora_sdxl | 2 | 1,349 | diffusers | 2023-08-15T00:46:55 | ---
license: apache-2.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- sdxl
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt:
widget:
- text: captain america eating his boogers
---
# Embroidery Style - SDXL LoRA
### Tips
- No trigger words needed.
- Converts any prompt into an em... | 8,501 | [
[
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huggingface-course/bert-finetuned-squad | 2021-11-11T17:49:56.000Z | [
"transformers",
"pytorch",
"tf",
"tensorboard",
"bert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | huggingface-course | null | null | huggingface-course/bert-finetuned-squad | 5 | 1,348 | transformers | 2022-03-02T23:29:05 | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: test-bert-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test-bert-f... | 1,003 | [
[
-0.05303955078125,
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-0.07489013671875,
-0.0252532958984375,
-0.041595458984375,
... |
voidful/context-only-question-generator | 2023-03-29T15:40:54.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"question",
"generation",
"seq2seq",
"en",
"dataset:unifiedQA",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | voidful | null | null | voidful/context-only-question-generator | 15 | 1,348 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- bart
- question
- generation
- seq2seq
datasets:
- unifiedQA
metrics:
- bleu
- rouge
pipeline_tag: text2text-generation
widget:
- text: "Harry Potter is a series of seven fantasy novels written by British author J. K. Rowling. The novels chronicle the lives of a young wizard, Harry Potter, and ... | 1,130 | [
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-0.07220458984375,
-0.0159454345703125,
-0.0169677734375,
0.... |
rinna/bilingual-gpt-neox-4b-instruction-sft | 2023-09-14T11:06:07.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"ja",
"en",
"dataset:Anthropic/hh-rlhf",
"license:mit",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/bilingual-gpt-neox-4b-instruction-sft | 14 | 1,348 | transformers | 2023-07-31T11:25:11 | ---
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
license: mit
datasets:
- Anthropic/hh-rlhf
language:
- ja
- en
inference: false
---
# bilingual-gpt-neox-4b-instruction-sft

---
# Update
- **2023/08/02** We uploaded the newly trained `rinna/bilingu... | 7,455 | [
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0.0220... |
ShoukanLabs/OpenNiji | 2023-05-29T08:39:20.000Z | [
"diffusers",
"art",
"anime",
"nijijourney",
"open",
"text-to-image",
"en",
"dataset:Korakoe/NijiJourney-Prompt-Pairs",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ShoukanLabs | null | null | ShoukanLabs/OpenNiji | 86 | 1,347 | diffusers | 2023-01-21T08:20:20 | ---
thumbnail: https://i.imgur.com/7jAg1Jq.png
license: creativeml-openrail-m
datasets:
- Korakoe/NijiJourney-Prompt-Pairs
language:
- en
tags:
- art
- anime
- nijijourney
- open
pipeline_tag: text-to-image
---

# OpenNiji
The Stable Diffusion model trained on Nijijourney ... | 2,447 | [
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zeroshot/gte-large-sparse | 2023-10-24T16:53:49.000Z | [
"transformers",
"onnx",
"bert",
"feature-extraction",
"sparse sparsity quantized onnx embeddings int8",
"mteb",
"en",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | zeroshot | null | null | zeroshot/gte-large-sparse | 0 | 1,347 | transformers | 2023-10-15T18:14:48 | ---
tags:
- sparse sparsity quantized onnx embeddings int8
- mteb
model-index:
- name: gte-large-sparse
results:
- task:
type: STS
dataset:
type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
... | 13,159 | [
[
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T-Systems-onsite/german-roberta-sentence-transformer-v2 | 2023-04-27T19:28:49.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"xlm-roberta",
"feature-extraction",
"sentence_embedding",
"search",
"roberta",
"xlm-r-distilroberta-base-paraphrase-v1",
"paraphrase",
"de",
"dataset:STSbenchmark",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | T-Systems-onsite | null | null | T-Systems-onsite/german-roberta-sentence-transformer-v2 | 4 | 1,346 | transformers | 2022-03-02T23:29:05 | ---
language: de
license: mit
tags:
- sentence_embedding
- search
- pytorch
- xlm-roberta
- roberta
- xlm-r-distilroberta-base-paraphrase-v1
- paraphrase
datasets:
- STSbenchmark
metrics:
- Spearman’s rank correlation
- cosine similarity
---
# German RoBERTa for Sentence Embeddings V2
**The new [T-Systems-onsite/cro... | 605 | [
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0.025970458984375,
0.015899658203125,
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-0.03192138671875,
-0.063720703125,
0.000... |
sail-rvc/CardiB2333333 | 2023-07-14T07:20:00.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/CardiB2333333 | 0 | 1,346 | transformers | 2023-07-14T07:19:46 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# CardiB2333333
## RVC Model

This model repo was automatically generated.
Date: 2023-07-14 07:20:00
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into... | 381 | [
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gagneurlab/SpeciesLM | 2023-08-14T09:27:08.000Z | [
"license:mit",
"region:us"
] | null | gagneurlab | null | null | gagneurlab/SpeciesLM | 0 | 1,346 | null | 2023-08-14T08:41:30 | ---
license: mit
---
Load each model using:
```python
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("gagneurlab/SpeciesLM", revision = "<<choose model type>>")
model = AutoModelForMaskedLM.from_pretrained("gagneurlab/SpeciesLM", revision = "<<choose model type... | 548 | [
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TheBloke/Tinyllama-2-1b-miniguanaco-AWQ | 2023-10-14T16:24:07.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Tinyllama-2-1b-miniguanaco-AWQ | 2 | 1,346 | transformers | 2023-10-11T03:20:45 | ---
base_model: abdgrt/Tinyllama-2-1b-miniguanaco
inference: false
license: other
model_creator: Odunusi Abraham Ayoola
model_name: Tinyllama 2 1B MiniGuanaco
model_type: llama
prompt_template: '### Human: {prompt}
### Assistant:
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200823 -->
<div style="widt... | 12,353 | [
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-0.... |
Salesforce/codet5-large | 2022-07-07T11:55:19.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"arxiv:2109.00859",
"arxiv:2207.01780",
"arxiv:1909.09436",
"license:bsd-3-clause",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Salesforce | null | null | Salesforce/codet5-large | 49 | 1,343 | transformers | 2022-07-06T03:56:45 | ---
license: bsd-3-clause
---
# CodeT5 (large-size model 770M)
## Model description
CodeT5 is a family of encoder-decoder language models for code from the paper: [CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation](https://arxiv.org/pdf/2109.00859.pdf) by Yue Wa... | 2,753 | [
[
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0.01490020751953125,
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... |
sail-rvc/SpongeBob_SquarePants__RVC_v2_ | 2023-07-14T07:33:31.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/SpongeBob_SquarePants__RVC_v2_ | 1 | 1,342 | transformers | 2023-07-14T07:32:15 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# SpongeBob_SquarePants__RVC_v2_
## RVC Model

This model repo was automatically generated.
Date: 2023-07-14 07:33:31
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason... | 398 | [
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ehartford/WizardLM-Uncensored-Falcon-7b | 2023-06-01T16:48:59.000Z | [
"transformers",
"pytorch",
"RefinedWebModel",
"text-generation",
"custom_code",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | ehartford | null | null | ehartford/WizardLM-Uncensored-Falcon-7b | 44 | 1,341 | transformers | 2023-06-01T15:31:58 | ---
license: apache-2.0
---
This is WizardLM trained on top of tiiuae/falcon-7b, with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example ... | 971 | [
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-0.0281219482421875,
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-0.00... |
TheLastBen/Josef_Koudelka_Style_SDXL | 2023-08-07T11:05:24.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"region:us",
"has_space"
] | text-to-image | TheLastBen | null | null | TheLastBen/Josef_Koudelka_Style_SDXL | 4 | 1,339 | diffusers | 2023-08-01T21:56:15 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: josef koudelka
widget:
- text: by josef koudelka
---
### Josef Koudelka Photography Style
#### SDXL LoRA by TheLastBen
#### Prompts to start wi... | 3,295 | [
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0.002975... |
mncai/Mistral-7B-v0.1-orca_platy-1k | 2023-10-22T05:13:25.000Z | [
"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 | mncai | null | null | mncai/Mistral-7B-v0.1-orca_platy-1k | 0 | 1,339 | transformers | 2023-10-22T04:58:43 | ---
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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-0.041748046875,
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-0.003... |
AlekseyKorshuk/vicuna-7b | 2023-04-10T21:34:38.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | AlekseyKorshuk | null | null | AlekseyKorshuk/vicuna-7b | 109 | 1,338 | transformers | 2023-04-05T03:30:23 | ---
license: other
---
# Vicuna 7B without "ethics" filtering
This repository contains an alternative version of the [Vicuna 7B model](https://huggingface.co/lmsys/vicuna-7b-delta-v0).
This model was natively fine-tuned using ShareGPT data, but without the "ethics" filtering used for the original Vicuna.
[A GPTQ qua... | 1,679 | [
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-0.035064697265625,
-0.0301513671875,
-0.00469... |
dangvantuan/CrossEncoder-camembert-large | 2022-03-28T13:47:00.000Z | [
"transformers",
"pytorch",
"camembert",
"text-classification",
"Text",
"Sentence Similarity",
"Sentence-Embedding",
"camembert-base",
"sentence-similarity",
"fr",
"dataset:stsb_multi_mt",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | sentence-similarity | dangvantuan | null | null | dangvantuan/CrossEncoder-camembert-large | 7 | 1,337 | transformers | 2022-03-28T13:19:00 | ---
pipeline_tag: sentence-similarity
language: fr
datasets:
- stsb_multi_mt
tags:
- Text
- Sentence Similarity
- Sentence-Embedding
- camembert-base
license: apache-2.0
model-index:
- name: sentence-camembert-base by Van Tuan DANG
results:
- task:
name: Sentence-Embedding
type: Text Similarity
dat... | 3,288 | [
[
-0.025848388671875,
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0.00659942626953125,
0.0213623046875,
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-0.0484619140625,
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0.0074... |
lucas-leme/FinBERT-PT-BR | 2023-10-16T13:59:09.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"pt",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | lucas-leme | null | null | lucas-leme/FinBERT-PT-BR | 12 | 1,337 | transformers | 2022-12-04T22:15:16 | ---
language: pt
license: apache-2.0
widget:
- text: "O futuro de DI caiu 20 bps nesta manhã"
example_title: "Example 1"
- text: "O Nubank decidiu cortar a faixa de preço da oferta pública inicial (IPO) após revés no humor dos mercados internacionais com as fintechs."
example_title: "Example 2"
- text: "O Ibovespa... | 3,140 | [
[
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0.0260009765625,
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-0.049285888671875,
-0.054962158203125,
0... |
stablediffusionapi/realistic-vision-v40 | 2023-08-29T05:57:22.000Z | [
"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/realistic-vision-v40 | 4 | 1,337 | diffusers | 2023-07-12T14:53:49 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Realistic Vision V4.0 API Inference

## Get API Key
Get... | 2,500 | [
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0.02386474609375,
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0.04534912109375,
-0.061737060546875,
-0.06109619140625,
-0.026275634765625,
-0.001349... |
retrieva-jp/t5-xl | 2023-05-10T01:01:04.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"ja",
"arxiv:2002.05202",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | retrieva-jp | null | null | retrieva-jp/t5-xl | 14 | 1,336 | transformers | 2023-04-26T07:19:08 | ---
license: cc-by-sa-4.0
language:
- ja
---
# Model card for model ID
This is a T5 v1.1 model, pre-trained on a Japanese corpus.
## Model details
T5 is a Transformer-based Encoder-Decoder model, now in v1.1, with the following improvements over the original T5.
- GEGLU activation in feed-forward hidden layer, rath... | 2,590 | [
[
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0.0035858154296875,
0.0269012451171875,
-0.058441162109375,
-0.07135009765625,
-0.053405761718... |
Yntec/NeverExisted | 2023-10-25T15:26:05.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Retro",
"DucHaiten",
"elldreths",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/NeverExisted | 3 | 1,336 | diffusers | 2023-07-15T15:18:33 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Retro
- DucHaiten
- elldreths
---
# Never Existed
A mix of elldreths Retro Mix and DucHaiten retro so that you can create pictures from a past that... | 450 | [
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0.0006036758422851562,
-0.... |
Helsinki-NLP/opus-mt-de-fi | 2023-08-16T11:27:51.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"de",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-de-fi | 0 | 1,335 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-fi
* source languages: de
* target languages: fi
* OPUS readme: [de-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
[
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0.02532958984375,
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-0.0297698974609375,
-0.00431060791015625,
0.004093170166015625,
0.034088134765625,
-0.0496826171875,
-0.039825439453125,
-0.04754638671875,
0.0... |
rinna/youri-7b-instruction-gptq | 2023-10-31T00:55:38.000Z | [
"transformers",
"llama",
"text-generation",
"ja",
"en",
"dataset:databricks/databricks-dolly-15k",
"dataset:kunishou/databricks-dolly-15k-ja",
"dataset:izumi-lab/llm-japanese-dataset",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/youri-7b-instruction-gptq | 5 | 1,335 | transformers | 2023-10-30T15:14:26 | ---
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
license: llama2
language:
- ja
- en
inference: false
datasets:
- databricks/databricks-dolly-15k
- kunishou/databricks-dolly-15k-ja
- izumi-lab/llm-japanese-dataset
---
# `rinna/youri-7b-instruction-gptq`

Al... | 5,562 | [
[
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0.0174713134765625,
0.01430511474609375,
-0.02490234375,
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-0.019927978515625,
-0.01715087890625,
0.0184478759765625,
0.02325439453125,
-0.037567138671875,
-0.06097412109375,
-0.042510986328125,
-0.0... |
cimm-kzn/rudr-bert | 2023-10-16T13:07:05.000Z | [
"transformers",
"pytorch",
"bio",
"med",
"biomedical",
"ru",
"arxiv:2004.03659",
"endpoints_compatible",
"region:us"
] | null | cimm-kzn | null | null | cimm-kzn/rudr-bert | 3 | 1,334 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- bio
- med
- biomedical
---
## RuDR-BERT
RuDR-BERT - Multilingual, Cased, which pretrained on the raw part of the RuDReC corpus (1.4M reviews). Pre-training was based on the [original BERT code](https://github.com/google-research/bert) provided by Google. In particular, Multi-BERT was for use... | 2,491 | [
[
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-0.027130126953125,
-0.02764892578125,
0.037078857421875,
0.018280029296875,
-0.036590576171875,
-0.0592041015625,
-0.05706787109375,
0.0193... |
mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization | 2020-12-11T21:53:12.000Z | [
"transformers",
"pytorch",
"encoder-decoder",
"text2text-generation",
"summarization",
"en",
"dataset:cnn_dailymail",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | mrm8488 | null | null | mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization | 8 | 1,334 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- cnn_dailymail
tags:
- summarization
---
# Bert-small2Bert-small Summarization with 🤗EncoderDecoder Framework
This model is a warm-started *BERT2BERT* ([small](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8)) model fine-tuned on the *CNN/Dailymail* summarizat... | 1,791 | [
[
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-0.0287322998046875,
-0.0228424072265625,
0.03924560546875,
0.01291656494140625,
-0.04144287109375,
-0.03741455078125,
-0.046783447265625,
... |
openclimatefix/nowcasting_cnn_v5 | 2022-09-30T14:27:31.000Z | [
"transformers",
"pytorch",
"nowcasting",
"forecasting",
"timeseries",
"remote-sensing",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | openclimatefix | null | null | openclimatefix/nowcasting_cnn_v5 | 0 | 1,334 | transformers | 2022-09-30T14:27:24 | ---
license: mit
tags:
- nowcasting
- forecasting
- timeseries
- remote-sensing
---
# Nowcasting CNN
## Model description
3d conv model, that takes in different data streams
architecture is roughly
1. satellite image time series goes into many 3d convolution layers.
2. nwp time series goes i... | 1,046 | [
[
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-0.023590087890625,
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0.0237884521484375,
-0.030975341796875,
-0.0241851806640625,
0.05364990234375,
-0.04791259765625,
-0.014556884765625,
-0.029327392578125,
0.... |
nousr/robo-diffusion | 2023-05-16T09:18:48.000Z | [
"diffusers",
"robots",
"stable-diffusion",
"aiart",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | nousr | null | null | nousr/robo-diffusion | 349 | 1,333 | diffusers | 2022-09-29T00:24:25 | ---
language:
- en
thumbnail: "https://huggingface.co/nousr/robo-diffusion/resolve/main/robo_example.png"
tags:
- robots
- stable-diffusion
- aiart
- text-to-image
license: "creativeml-openrail-m"
---
# UPDATE!
There is a new model based on stable-dffusion 2.0 (base) that can be found [here](https://huggingface.co/... | 1,298 | [
[
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0.039337158203125,
-0.054779052734375,
-0.0318603515625,
-0.05145263671875,
-0.0123596... |
Uminosachi/dreamshaper_8Inpainting | 2023-08-03T01:13:11.000Z | [
"diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | Uminosachi | null | null | Uminosachi/dreamshaper_8Inpainting | 0 | 1,333 | diffusers | 2023-08-03T00:52:21 | ---
license: creativeml-openrail-m
---
This is an inpainting model, which has been converted from the [dreamshaper_8Inpainting](https://civitai.com/models/4384?modelVersionId=131004). | 183 | [
[
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0.0347900390625,
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0.083740234375,
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0.02374267578125,
-0.019073486328125,
-0.0173... |
allenai/PRIMERA | 2023-01-24T17:02:52.000Z | [
"transformers",
"pytorch",
"tf",
"led",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | allenai | null | null | allenai/PRIMERA | 20 | 1,332 | transformers | 2022-03-10T23:37:17 | ---
language: en
license: apache-2.0
---
HF-version model for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization (ACL 2022).
The original code can be found [here](https://github.com/allenai/PRIMER). You can find the script and notebook to train/evaluate the model in ... | 1,241 | [
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-0.0523681640625,
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0.042388916015625,
-0.0192718505859375,
-0.01059722900390625,
-0.0122528076171875,
-0.014434814453125,
0.01971435546875,
0.0458984375,
-0.055816650390625,
-0.0435791015625,
-0.053955078125,
0.02052307128... |
masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0 | 2023-06-25T07:13:23.000Z | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"token-classification",
"am",
"bm",
"obj",
"ee",
"fon",
"ha",
"ig",
"rw",
"lg",
"luo",
"mos",
"ny",
"pcm",
"sn",
"sw",
"tn",
"tw",
"wo",
"xh",
"yo",
"zu",
"multilingual",
"dataset:masakhaner2",
"arxiv:21... | token-classification | masakhane | null | null | masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0 | 5 | 1,332 | transformers | 2022-12-15T12:52:06 | ---
license: afl-3.0
language:
- am
- bm
- obj
- ee
- fon
- ha
- ig
- rw
- lg
- luo
- mos
- ny
- pcm
- sn
- sw
- tn
- tw
- wo
- xh
- yo
- zu
- multilingual
datasets:
- masakhaner2
---
# masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0
## Model description
**masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0** is a **... | 4,845 | [
[
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-0.02911376953125,
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-0.02056884765625,
-0.0372314453125,
0.0330810546875,
0.032012939453125,
-0.034912109375,
-0.03045654296875,
-0.07061767578125,
0.0241088867187... |
yahyasmt/brain_tumor_2 | 2023-10-01T17:53:17.000Z | [
"diffusers",
"text-to-image",
"autotrain",
"has_space",
"region:us"
] | text-to-image | yahyasmt | null | null | yahyasmt/brain_tumor_2 | 4 | 1,332 | diffusers | 2023-10-01T17:53:15 |
---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: brain tumor mri scan
tags:
- text-to-image
- diffusers
- autotrain
inference: true
---
# DreamBooth trained by AutoTrain
Text encoder was not trained.
| 233 | [
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0.035552978515625,
-0.0002448558807373047,
-0.03582763671875,
-0.0029697418212890625,
-0.0597534179687... |
google/deeplabv3_mobilenet_v2_1.0_513 | 2022-11-10T16:28:13.000Z | [
"transformers",
"pytorch",
"mobilenet_v2",
"vision",
"image-segmentation",
"dataset:pascal-voc",
"arxiv:1801.04381",
"arxiv:1802.02611",
"license:other",
"endpoints_compatible",
"region:us"
] | image-segmentation | google | null | null | google/deeplabv3_mobilenet_v2_1.0_513 | 0 | 1,331 | transformers | 2022-11-10T16:05:57 | ---
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
---
# MobileNetV2 with DeepLabV3+
MobileNet V2 model pre-trained on PASCAL VOC at resolution 513x513. It was introduced in [Mobi... | 2,740 | [
[
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0.0310516357421875,
-0.026885986328125,
-0.0313720703125,
-0.046905517578125,... |
lmqg/t5-base-squad-qag | 2023-01-10T03:08:25.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"questions and answers generation",
"en",
"dataset:lmqg/qag_squad",
"arxiv:2210.03992",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | lmqg | null | null | lmqg/t5-base-squad-qag | 1 | 1,331 | transformers | 2022-12-19T02:49:52 |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qag_squad
pipeline_tag: text2text-generation
tags:
- questions and answers generation
widget:
- text: "generate question and answer: Beyonce further expanded her acting career, starring as blues singer Ett... | 5,415 | [
[
-0.041412353515625,
-0.057373046875,
0.0163116455078125,
0.006809234619140625,
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0.01105499267578125,
-0.074462890625,
-0.05047607421875,
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... |
TheBloke/Amethyst-13B-Mistral-AWQ | 2023-10-04T17:48:31.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Amethyst-13B-Mistral-AWQ | 4 | 1,328 | transformers | 2023-10-04T17:29:25 | ---
base_model: Undi95/Amethyst-13B-Mistral
inference: false
license: cc-by-nc-4.0
model_creator: Undi
model_name: Amethyst 13B Mistral
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
### Instruction:
{prompt}
###... | 15,180 | [
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0.0311431884765625,
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-0.0423583984375,
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-... |
hustvl/yolos-base | 2022-06-27T08:37:10.000Z | [
"transformers",
"pytorch",
"yolos",
"object-detection",
"vision",
"dataset:coco",
"arxiv:2106.00666",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | object-detection | hustvl | null | null | hustvl/yolos-base | 13 | 1,327 | transformers | 2022-04-26T09:30:39 | ---
license: apache-2.0
tags:
- object-detection
- vision
datasets:
- coco
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg
example_title: Savanna
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example_title: Football Match
- s... | 4,160 | [
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0.0260... |
mncai/Mistral-7B-v0.1-alpaca-1k | 2023-10-22T05:59:28.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"MindsAndCompany",
"en",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"arxiv:2306.02707",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mncai | null | null | mncai/Mistral-7B-v0.1-alpaca-1k | 0 | 1,326 | transformers | 2023-10-22T05:15:15 | ---
pipeline_tag: text-generation
license: mit
language:
- en
- ko
library_name: transformers
tags:
- MindsAndCompany
datasets:
- beomi/KoAlpaca-v1.1a
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0.1)
* **Library**: [Huggin... | 3,403 | [
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timm/convnext_tiny.fb_in1k | 2023-03-31T22:37:20.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_tiny.fb_in1k | 1 | 1,324 | timm | 2022-12-13T07:14:30 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_tiny.fb_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stat... | 15,615 | [
[
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... |
liuhaotian/llava-v1-0719-336px-lora-vicuna-13b-v1.3 | 2023-07-19T08:56:41.000Z | [
"transformers",
"llava",
"text-generation",
"region:us"
] | text-generation | liuhaotian | null | null | liuhaotian/llava-v1-0719-336px-lora-vicuna-13b-v1.3 | 8 | 1,324 | transformers | 2023-07-19T08:54:44 | ---
inference: false
---
<br>
<br>
# LLaVA Model Card
## Model details
**Model type:**
LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
**Model date:**
LLaVA-v1... | 1,576 | [
[
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-0.03375244140625,
-0.003... |
Helsinki-NLP/opus-mt-bn-en | 2023-08-16T11:26:30.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"bn",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-bn-en | 4 | 1,322 | transformers | 2022-03-02T23:29:04 | ---
language:
- bn
- en
tags:
- translation
license: apache-2.0
---
### ben-eng
* source group: Bengali
* target group: English
* OPUS readme: [ben-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ben-eng/README.md)
* model: transformer-align
* source language(s): ben
* target languag... | 2,070 | [
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... |
nerijs/lego-brickheadz-xl | 2023-08-14T05:20:10.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:apache-2.0",
"has_space",
"region:us"
] | text-to-image | nerijs | null | null | nerijs/lego-brickheadz-xl | 17 | 1,322 | diffusers | 2023-08-14T05:18:21 | ---
license: apache-2.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: lego brickheadz
widget:
- text: picture of a lego brickheadz of a corgi
---
# LEGO Minifig XL
## Consider supporting further research on [Patreon](https://www.patreon... | 511 | [
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-0.0292205810546875,
0.01597595... |
TheBloke/ShiningValiant-1.2-AWQ | 2023-10-14T19:30:31.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"shining-valiant",
"valiant",
"valiant-labs",
"llama-2",
"llama-2-chat",
"70b",
"en",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/ShiningValiant-1.2-AWQ | 0 | 1,322 | transformers | 2023-10-14T16:17:08 | ---
base_model: ValiantLabs/ShiningValiant
inference: false
language:
- en
license: llama2
model_creator: Valiant Labs
model_name: ShiningValiant 1.2
model_type: llama
pipeline_tag: text-generation
prompt_template: '[INST] <<SYS>>
You are a helpful, respectful and honest assistant. Always answer as helpfully as
po... | 16,349 | [
[
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-0.037994384765625,
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Nacholmo/controlnet-qr-pattern | 2023-06-19T18:50:41.000Z | [
"diffusers",
"tensorboard",
"controlnet",
"dataset:Nacholmo/controlnet-test-darkest-color",
"dataset:yuvalkirstain/pexel_images_lots_with_generated_captions",
"license:creativeml-openrail-m",
"diffusers:ControlNetModel",
"region:us"
] | null | Nacholmo | null | null | Nacholmo/controlnet-qr-pattern | 38 | 1,321 | diffusers | 2023-06-13T23:50:18 | ---
license: creativeml-openrail-m
datasets:
- Nacholmo/controlnet-test-darkest-color
- yuvalkirstain/pexel_images_lots_with_generated_captions
tags:
- controlnet
base_model: runwayml/stable-diffusion-v1-5
---
# Controlnet model for use in qr codes
Conditioning only 15% of the pixels closest to black, so as not to a... | 2,457 | [
[
-0.041229248046875,
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0.02496337... |
microsoft/swinv2-tiny-patch4-window16-256 | 2022-12-10T10:09:55.000Z | [
"transformers",
"pytorch",
"swinv2",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | microsoft | null | null | microsoft/swinv2-tiny-patch4-window16-256 | 0 | 1,320 | transformers | 2022-06-14T06:17:52 | ---
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... | 4,193 | [
[
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0.005405426025390625,
0.0296783447265625,
-0.04010009765625,
0.0003287792205810547,
-0.044708251953... |
Dizex/FoodBaseBERT-NER | 2023-05-14T19:31:01.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"token-classification",
"FoodBase",
"NER",
"en",
"dataset:Dizex/FoodBase",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Dizex | null | null | Dizex/FoodBaseBERT-NER | 6 | 1,320 | transformers | 2022-10-31T09:00:15 | ---
language: en
datasets:
- Dizex/FoodBase
widget:
- text: "Today's meal: Fresh olive poké bowl topped with chia seeds. Very delicious!"
example_title: "Food example 1"
- text: "Tartufo Pasta with garlic flavoured butter and olive oil, egg yolk, parmigiano and pasta water."
example_title: "Food example 2"
tags:
... | 1,322 | [
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0.03656005859375,
0.036468505859375,
-0.037109375,
-0.033966064453125,
-0.0581359863281... |
digiplay/PhotoSomnia_vFinal | 2023-07-17T14:12:27.000Z | [
"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/PhotoSomnia_vFinal | 2 | 1,320 | diffusers | 2023-07-17T13:45:52 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/18637/photosomnia
Original Author's DEMO image :
 hybrid image classification model. Trained on ImageNet-21k in JAX by paper authors, ported to PyTorch by Ross Wightman.
## M... | 3,307 | [
[
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-... |
mncai/Mistral-7B-v0.1-orca-2k | 2023-10-22T06:00:24.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"MindsAndCompany",
"en",
"ko",
"dataset:kyujinpy/OpenOrca-KO",
"arxiv:2306.02707",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mncai | null | null | mncai/Mistral-7B-v0.1-orca-2k | 0 | 1,319 | transformers | 2023-10-22T05:46:39 | ---
pipeline_tag: text-generation
license: mit
language:
- en
- ko
library_name: transformers
tags:
- MindsAndCompany
datasets:
- kyujinpy/OpenOrca-KO
---
## Model Details
* **Developed by**: [Minds And Company](https://mnc.ai/)
* **Backbone Model**: [Mistral-7B-v0.1](mistralai/Mistral-7B-v0.1)
* **Library**: [Huggin... | 3,403 | [
[
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0.0104522705078125,
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0.026519775390625,
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-0.042388916015625,
-0.045196533203125,
-0... |
facebook/data2vec-text-base | 2022-04-18T16:03:20.000Z | [
"transformers",
"pytorch",
"data2vec-text",
"feature-extraction",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:2202.03555",
"arxiv:1806.02847",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | facebook | null | null | facebook/data2vec-text-base | 12 | 1,318 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- exbert
license: mit
datasets:
- bookcorpus
- wikipedia
---
# Data2Vec-Text base model
Pretrained model on English language using the *data2vec* objective. It was introduced in
[this paper](https://arxiv.org/abs/2202.03555) and first released in
[this repository](https://github.com/pytorch/fai... | 3,752 | [
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... |
cardiffnlp/roberta-large-tweet-topic-single-all | 2022-09-30T18:03:25.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"dataset:cardiffnlp/tweet_topic_single",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | cardiffnlp | null | null | cardiffnlp/roberta-large-tweet-topic-single-all | 0 | 1,318 | transformers | 2022-09-30T08:26:33 | ---
datasets:
- cardiffnlp/tweet_topic_single
metrics:
- f1
- accuracy
model-index:
- name: cardiffnlp/roberta-large-tweet-topic-single-all
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: cardiffnlp/tweet_topic_single
type: cardiffnlp/tweet_topic_singl... | 2,617 | [
[
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0.03131103515625,
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0.... |
TheBloke/Mistral-7B-v0.1-AWQ | 2023-09-29T16:52:11.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"pretrained",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Mistral-7B-v0.1-AWQ | 13 | 1,317 | transformers | 2023-09-27T19:28:54 | ---
base_model: mistralai/Mistral-7B-v0.1
inference: false
license: apache-2.0
model_creator: Mistral AI
model_name: Mistral 7B v0.1
model_type: mistral
pipeline_tag: text-generation
prompt_template: '{prompt}
'
quantized_by: TheBloke
tags:
- pretrained
---
<!-- header start -->
<!-- 200823 -->
<div style="width: a... | 9,639 | [
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apple/DFN2B-CLIP-ViT-L-14 | 2023-10-31T17:56:28.000Z | [
"open_clip",
"pytorch",
"clip",
"arxiv:2309.17425",
"license:other",
"region:us"
] | null | apple | null | null | apple/DFN2B-CLIP-ViT-L-14 | 1 | 1,317 | open_clip | 2023-10-30T23:07:24 | ---
license: other
license_name: apple-sample-code-license
license_link: LICENSE
---
A CLIP (Contrastive Language-Image Pre-training) model trained on DFN-2B.
Data Filtering Networks (DFNs) are small networks used to automatically filter large pools of uncurated data.
This model was trained on 2B images that were fi... | 3,830 | [
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cometrain/stocks-news-t5 | 2022-09-20T11:15:07.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"Cometrain AutoCode",
"Cometrain AlphaML",
"en",
"dataset:financial-sentiment-analysis",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | cometrain | null | null | cometrain/stocks-news-t5 | 17 | 1,316 | transformers | 2022-04-14T09:44:58 | ---
language:
- en
license: mit
tags:
- Cometrain AutoCode
- Cometrain AlphaML
datasets:
- financial-sentiment-analysis
widget:
- text: "April 14 (Reuters) - Rio Tinto (RIO.AX), one of the largest Australian mining companies, on Thursday confirmed its exit from the state mining lobby group after raising concerns th... | 1,885 | [
[
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0.00909423828125,
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... |
timm/resnet101.tv_in1k | 2023-04-05T18:24:18.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1512.03385",
"license:bsd-3-clause",
"region:us"
] | image-classification | timm | null | null | timm/resnet101.tv_in1k | 0 | 1,316 | timm | 2023-04-05T18:23:30 | ---
tags:
- image-classification
- timm
library_tag: timm
license: bsd-3-clause
---
# Model card for resnet101.tv_in1k
A ResNet-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k, original t... | 37,880 | [
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... |
heegyu/polyglot-ko-1.3b-chat | 2023-09-26T04:34:32.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"dataset:dbdu/ShareGPT-74k-ko",
"dataset:heegyu/korquad-chat-v1",
"dataset:HAERAE-HUB/KoInstruct-QA",
"dataset:changpt/ko-lima-vicuna",
"dataset:nlpai-lab/kullm-v2",
"endpoints_comp... | text-generation | heegyu | null | null | heegyu/polyglot-ko-1.3b-chat | 0 | 1,316 | transformers | 2023-08-18T05:50:33 | ---
datasets:
- beomi/KoAlpaca-v1.1a
- dbdu/ShareGPT-74k-ko
- heegyu/korquad-chat-v1
- HAERAE-HUB/KoInstruct-QA
- changpt/ko-lima-vicuna
- nlpai-lab/kullm-v2
language:
- ko
---
# heegyu/polyglot-ko-1.3b-chat
- [EleutherAI/polyglot-ko-1.3b](https://huggingface.co/EleutherAI/polyglot-ko-1.3b)를 여러 한국어 instruction 데이터셋으로 ... | 4,866 | [
[
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0.... |
jhgan/ko-sbert-multitask | 2022-08-16T12:45:51.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | jhgan | null | null | jhgan/ko-sbert-multitask | 10 | 1,314 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# ko-sbert-multitask
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like c... | 4,656 | [
[
-0.0186004638671875,
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0.019775390625,
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-0.05108642578125,
0.... |
timm/vit_large_r50_s32_384.augreg_in21k_ft_in1k | 2023-05-06T00:51:38.000Z | [
"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_large_r50_s32_384.augreg_in21k_ft_in1k | 0 | 1,314 | timm | 2022-12-23T00:31:34 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_large_r50_s32_384.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... | 3,927 | [
[
-0.039031982421875,
-0.0273895263671875,
-0.00315093994140625,
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-0.019317626953125,
-0.0244140625,
-0.03436279296875,
0.019989013671875,
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-0.03778076171875,
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0.... |
castorini/mdpr-tied-pft-msmarco-ft-all | 2022-05-26T21:14:21.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | feature-extraction | castorini | null | null | castorini/mdpr-tied-pft-msmarco-ft-all | 0 | 1,313 | transformers | 2022-05-26T21:05:47 | The checkpoint is further fine-tuned based on the `castorini/mdpr-tied-pft-msmarco` checkpoint, on all the Mr. TyDi training data. | 130 | [
[
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... |
transformer3/H2-keywordextractor | 2023-04-21T15:15:03.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"autotrain",
"summarization",
"unk",
"dataset:transformer3/autotrain-data-finance6",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | transformer3 | null | null | transformer3/H2-keywordextractor | 15 | 1,313 | transformers | 2023-04-21T14:55:32 | ---
tags:
- autotrain
- summarization
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- transformer3/autotrain-data-finance6
co2_eq_emissions:
emissions: 0.03294976193424359
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 51355121740
- CO2 Emissions (in grams): 0.0329
... | 723 | [
[
-0.03289794921875,
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-0.0274810791015625,
-0.052825927734375,
-... |
EleutherAI/pythia-6.9b-deduped-v0 | 2023-07-10T01:30:05.000Z | [
"transformers",
"pytorch",
"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",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/pythia-6.9b-deduped-v0 | 20 | 1,311 | transformers | 2022-10-18T03:04:37 | ---
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... | 11,894 | [
[
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0.01435089111328125,
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... |
timm/vit_giant_patch14_reg4_dinov2.lvd142m | 2023-10-30T04:56:40.000Z | [
"timm",
"pytorch",
"safetensors",
"arxiv:2309.16588",
"arxiv:2304.07193",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | null | timm | null | null | timm/vit_giant_patch14_reg4_dinov2.lvd142m | 0 | 1,311 | timm | 2023-10-30T04:49:01 | ---
tags:
- timm
library_name: timm
license: apache-2.0
---
# Model card for vit_giant_patch14_reg4_dinov2.lvd142m
A Vision Transformer (ViT) image feature model with registers. Pretrained on LVD-142M with self-supervised DINOv2 method.
## Model Details
- **Model Type:** Image classification / feature backbone
- **M... | 4,311 | [
[
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... |
cointegrated/rut5-base-multitask | 2023-03-17T14:12:20.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"t5",
"text2text-generation",
"russian",
"ru",
"en",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | cointegrated | null | null | cointegrated/rut5-base-multitask | 23 | 1,310 | transformers | 2022-03-02T23:29:05 |
---
language: ["ru", "en"]
tags:
- russian
license: mit
widget:
- text: "fill | Почему они не ___ на меня?"
---
This is a smaller version of the [google/mt5-base](https://huggingface.co/google/mt5-base) with only some Rusian and English embeddings left.
More details are given in a Russian post: https://habr.com/ru... | 3,770 | [
[
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-0.0066375732421875,
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0.03106689453125,
0.0185546875,
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-0.0423583984375,
-0.04095458984375,
0.0111007... |
persiannlp/mt5-base-parsinlu-sentiment-analysis | 2021-09-23T16:20:02.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"sentiment",
"sentiment-analysis",
"persian",
"farsi",
"fa",
"multilingual",
"dataset:parsinlu",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | persiannlp | null | null | persiannlp/mt5-base-parsinlu-sentiment-analysis | 3 | 1,309 | transformers | 2022-03-02T23:29:05 | ---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- sentiment
- sentiment-analysis
- mt5
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
metrics:
- accuracy
---
# Sentiment Analysis (آنالیز احساسات)
This is a mT5 model for sentiment analys... | 2,707 | [
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... |
jncraton/codet5p-220m-py-ct2-int8 | 2023-07-08T19:12:46.000Z | [
"transformers",
"arxiv:2305.07922",
"license:bsd-3-clause",
"endpoints_compatible",
"region:us"
] | null | jncraton | null | null | jncraton/codet5p-220m-py-ct2-int8 | 0 | 1,309 | transformers | 2023-06-30T18:48:16 | ---
license: bsd-3-clause
---
# CodeT5+ 220M (further tuned on Python)
## Model description
[CodeT5+](https://github.com/salesforce/CodeT5/tree/main/CodeT5+) is a new family of open code large language models with an encoder-decoder architecture that can flexibly operate in different modes (i.e. _encoder-only_, _dec... | 5,012 | [
[
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... |
facebook/wav2vec2-large-960h-lv60 | 2022-04-05T16:42:07.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2006.11477",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | facebook | null | null | facebook/wav2vec2-large-960h-lv60 | 6 | 1,308 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
model-index:
- name: wav2vec2-large-960h-lv60
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Librispeech (clean)
type: librispeech_asr
args: en
... | 3,965 | [
[
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-0.041046142578125,
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-0.0017709732055664062,
0.01132965087890625,
-0.045867919921875,
-0.0439453125,
-0.04318237304687... |
TheBloke/starchat-beta-GPTQ | 2023-08-21T09:37:58.000Z | [
"transformers",
"safetensors",
"gpt_bigcode",
"text-generation",
"generated_from_trainer",
"license:bigcode-openrail-m",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | TheBloke | null | null | TheBloke/starchat-beta-GPTQ | 25 | 1,308 | transformers | 2023-06-08T22:12:22 | ---
inference: false
tags:
- generated_from_trainer
model-index:
- name: starchat-beta
results: []
license: bigcode-openrail-m
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min... | 14,732 | [
[
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-0.0... |
haoranxu/ALMA-7B | 2023-10-27T05:11:30.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2309.11674",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | haoranxu | null | null | haoranxu/ALMA-7B | 9 | 1,307 | transformers | 2023-09-17T17:14:42 | ---
license: mit
---
**ALMA** (**A**dvanced **L**anguage **M**odel-based tr**A**nslator) is an LLM-based translation model, which adopts a new translation model paradigm: it begins with fine-tuning on monolingual data and is further optimized using high-quality parallel data. This two-step fine-tuning process ensures s... | 3,637 | [
[
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-0.038421630859375,
0.0225067138671875,
0.034027099609375,
-0.04541015625,
-0.0584716796875,
-0.05133056640625,
0.0... |
Falconsai/medical_summarization | 2023-10-30T12:47:54.000Z | [
"transformers",
"pytorch",
"coreml",
"t5",
"text2text-generation",
"summarization",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | summarization | Falconsai | null | null | Falconsai/medical_summarization | 8 | 1,306 | transformers | 2023-10-23T03:15:02 | ---
license: apache-2.0
language:
- en
pipeline_tag: summarization
widget:
- text: "the need for magnetic resonance imaging ( mri ) in patients with an implanted pacemaker or implantable cardioverter - defibrillator ( icd ) is a growing clinical issue . it is estimated that as many as 75% of active cardiac device reci... | 43,341 | [
[
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-0.035430908203125,
0.046905517578125,
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-0.042266845703125,
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0.023681640625,
-0.02520751953125,
0.033843994140625,
0.04315185546875,
-0.04217529296875,
-0.073486328125,
-0.044952392578125,
0.011558532714... |
timm/deit3_small_patch16_224.fb_in1k | 2023-03-28T01:26:47.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.07118",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/deit3_small_patch16_224.fb_in1k | 0 | 1,305 | timm | 2023-03-28T01:26:30 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit3_small_patch16_224.fb_in1k
A DeiT-III image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | 2,942 | [
[
-0.0311737060546875,
-0.036468505859375,
0.00894927978515625,
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0.016143798828125,
0.0227813720703125,
-0.040069580078125,
-0.05560302734375,
-0.046020507812... |
rroby/sd-3-7-rsroby | 2023-03-07T22:35:14.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | rroby | null | null | rroby/sd-3-7-rsroby | 0 | 1,304 | diffusers | 2023-03-07T22:30:52 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### SD-3-7-Rsroby Dreambooth model trained by rroby with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook
Build your own using... | 519 | [
[
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0.0300445556640625,
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0.061798095703125,
0.0247039794921875,
-0.036376953125,
-0.0207977294921875,
-0.03582763671875,
-0.0213775634... |
jhlfrfufyfn/bel-tts | 2023-09-28T23:40:02.000Z | [
"transformers",
"be",
"endpoints_compatible",
"has_space",
"region:us"
] | null | jhlfrfufyfn | null | null | jhlfrfufyfn/bel-tts | 1 | 1,304 | transformers | 2023-05-16T00:20:27 | ---
language:
- be
---
# Bel-TTS
## Install
Install TTS with pip:
```
pip install TTS
```
You would also need to download files from this repo.
## Running synthesizer
### Preprocessing text
This TTS model uses phonemized text as an input. To get phonemized version of the data,
you need to send the text you want to ... | 1,155 | [
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0.0296783447265625,
0.02410888671875,
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... |
digiplay/DreamShaper_7 | 2023-07-04T00:27:29.000Z | [
"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/DreamShaper_7 | 3 | 1,304 | diffusers | 2023-07-03T22:12:00 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/4384
Version 7 link:
https://civitai.com/models/4384?modelVersionId=109123
Original Author's DEMO image :
 image classification model. Pretrained on LAION-2B image-text pairs using OpenCLIP. Fine-tuned on ImageNet-12k in... | 5,696 | [
[
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0.0100250244140625,
-0.026153564453125,
-0.032318115234375,
-0.03448486328125,
-0.0313720703125,
0.0080413818359375,
0.026031494140625,
-0.029266357421875,
-0.042388916015625,
-0.05133056640625,
-0... |
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