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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
m3hrdadfi/wav2vec2-xlsr-persian-speech-emotion-recognition | 2021-07-27T06:12:46.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"audio",
"automatic-speech-recognition",
"speech",
"speech-emotion-recognition",
"fa",
"dataset:ShEMO",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | m3hrdadfi | null | null | m3hrdadfi/wav2vec2-xlsr-persian-speech-emotion-recognition | 3 | 1,228 | transformers | 2022-03-02T23:29:05 | ---
language: fa
datasets:
- ShEMO
tags:
- audio
- automatic-speech-recognition
- speech
- speech-emotion-recognition
license: apache-2.0
---
# Emotion Recognition in Persian (Farsi - fa) Speech using Wav2Vec 2.0
## How to use
### Requirements
```bash
# requirement packages
!pip install git+https://github.com/hugg... | 2,989 | [
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jojo0217/ChatSKKU5.8B | 2023-10-24T12:01:26.000Z | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-generation",
"ko",
"dataset:jojo0217/korean_rlhf_dataset",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | jojo0217 | null | null | jojo0217/ChatSKKU5.8B | 0 | 1,228 | transformers | 2023-09-27T12:55:21 | ---
license: apache-2.0
datasets:
- jojo0217/korean_rlhf_dataset
language:
- ko
pipeline_tag: text-generation
---
성균관대학교 산학협력 데이터로 만든 테스트 모델입니다.
기존 10만 7천개의 데이터 + 2천개 일상대화 추가 데이터를 첨가하여 학습하였습니다.
___
모델은 EleutherAI/polyglot-ko-5.8b를 base로 학습 되었으며
학습 parameter은 다음과 같습니다.
batch_size: 128
micro_batch_siz... | 1,565 | [
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0.011383056640625,
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-0.0643310546875,
0.01014709... |
HumanF-MarkrAI/pub-llama-13b-v2 | 2023-10-22T18:37:25.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"dataset:HumanF-MarkrAI/pub_COT_v2-2000",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | HumanF-MarkrAI | null | null | HumanF-MarkrAI/pub-llama-13b-v2 | 0 | 1,227 | transformers | 2023-10-21T12:56:10 | ---
language:
- ko
datasets: HumanF-MarkrAI/pub_COT_v2-2000
license: cc-by-nc-sa-4.0
---
**(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다**
**The license is `cc-by-nc-sa`.**
## Model Details
**Model Developers** Kyujin Han (kyujinpy)
**Input** Models input text only.
**Output** Models generate text only.
**Model... | 631 | [
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... |
facebook/blenderbot-90M | 2023-01-24T16:29:11.000Z | [
"transformers",
"pytorch",
"blenderbot-small",
"text2text-generation",
"convAI",
"conversational",
"facebook",
"en",
"dataset:blended_skill_talk",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | conversational | facebook | null | null | facebook/blenderbot-90M | 2 | 1,226 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
thumbnail:
tags:
- convAI
- conversational
- facebook
license: apache-2.0
datasets:
- blended_skill_talk
metrics:
- perplexity
---
# 🚨🚨**IMPORTANT**🚨🚨
**This model is deprecated! Please use the identical model** **https://huggingface.co/facebook/blenderbot_small-90M instead**
## Model descrip... | 1,599 | [
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0.048980712890625,
-0.0266571044921875,
-0.0118560791015625,
-0.055511474609375,
... |
FFusion/FFusionXL-LoRa-SDXL-Island-Generator | 2023-07-24T23:28:40.000Z | [
"diffusers",
"safetensors",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"en",
"doi:10.57967/hf/0919",
"license:other",
"region:us"
] | text-to-image | FFusion | null | null | FFusion/FFusionXL-LoRa-SDXL-Island-Generator | 1 | 1,226 | diffusers | 2023-07-23T15:20:06 | ---
license: other
base_model: diffusers/stable-diffusion-xl-base-0.9
instance_prompt: a 3d island
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: true
library_name: diffusers
badges:
- alt: Name
url: >-
https://img.shields.io/badge/Name-FFusion%20XL%20LoR... | 9,080 | [
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0.0099029541015625,
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0.055023193359375,
0.0267791748046875,
-0.0703125,
-0.03399658203125,
-0.043121337890625,
-0.002344... |
hakonmh/sentiment-xdistil-uncased | 2023-11-01T21:20:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"finance",
"financial-sentiment-analysis",
"sentiment-analysis",
"en",
"arxiv:2303.15056",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | hakonmh | null | null | hakonmh/sentiment-xdistil-uncased | 1 | 1,221 | transformers | 2023-05-18T17:35:54 | ---
license: mit
language:
- en
pipeline_tag: text-classification
tags:
- finance
- financial-sentiment-analysis
- sentiment-analysis
library_name: transformers
widget:
- text: unemployment hits record low as job opportunities soar
- text: unemployment hits record high as job opportunities suffers
---
`Senti... | 3,586 | [
[
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-0.016632080078125,
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0.0284423828125,
0.01236724853515625,
-0.050994873046875,
-0.0633544921875,
-0.051361083984375,
-0.... |
hfl/chinese-electra-180g-base-discriminator | 2021-03-03T01:26:14.000Z | [
"transformers",
"pytorch",
"tf",
"electra",
"zh",
"arxiv:2004.13922",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | hfl | null | null | hfl/chinese-electra-180g-base-discriminator | 9 | 1,220 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
license: "apache-2.0"
---
# This model is trained on 180G data, we recommend using this one than the original version.
## Chinese ELECTRA
Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively competitive performance compa... | 1,964 | [
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0.0347900390625,
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-0.0174713134765625,
-0.01483154296875,
0.009849548... |
Salesforce/codegen-2B-mono | 2022-10-03T16:18:49.000Z | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"arxiv:2203.13474",
"license:bsd-3-clause",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | Salesforce | null | null | Salesforce/codegen-2B-mono | 19 | 1,220 | transformers | 2022-04-11T23:18:40 | ---
license: bsd-3-clause
---
# CodeGen (CodeGen-Mono 2B)
## Model description
CodeGen is a family of autoregressive language models for **program synthesis** from the paper: [A Conversational Paradigm for Program Synthesis](https://arxiv.org/abs/2203.13474) by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wa... | 2,963 | [
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... |
cardiffnlp/twitter-roberta-base-emotion-multilabel-latest | 2023-05-28T05:08:45.000Z | [
"transformers",
"pytorch",
"tf",
"roberta",
"text-classification",
"generated_from_keras_callback",
"en",
"endpoints_compatible",
"region:us"
] | text-classification | cardiffnlp | null | null | cardiffnlp/twitter-roberta-base-emotion-multilabel-latest | 9 | 1,220 | transformers | 2023-03-01T21:14:01 | ---
tags:
- generated_from_keras_callback
model-index:
- name: twitter-roberta-base-emotion-multilabel-latest
results: []
pipeline_tag: text-classification
language:
- en
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and comp... | 2,822 | [
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0.00638580322265625,
-0.044097900390625,
-0.0526123046875,
-0.071044921875,
-0.... |
davizca87/c-a-g-coinmaker | 2023-08-23T00:28:05.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:other",
"has_space",
"region:us"
] | text-to-image | davizca87 | null | null | davizca87/c-a-g-coinmaker | 2 | 1,219 | diffusers | 2023-08-23T00:27:48 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: c01n
widget:
- text: c01n
---
# C.A.G. - Coinmaker
<p>Hi again! Long time no see.</p><p>Welcome to <strong>Coinmaker</strong>. Coin... | 3,885 | [
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nayohan/polyglot-ko-5.8b-Inst | 2023-10-26T10:37:12.000Z | [
"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 | nayohan | null | null | nayohan/polyglot-ko-5.8b-Inst | 0 | 1,219 | transformers | 2023-10-11T18:17:48 | ---
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: []
---
This model is a test version that was learned by ... | 891 | [
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... |
timm/repvit_m3.dist_in1k | 2023-08-25T17:36:19.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2307.09283",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/repvit_m3.dist_in1k | 0 | 1,218 | timm | 2023-08-25T17:36:08 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for repvit_m3.dist_in1k
A RepViT image classification model. Trained on ImageNet-1k with distillation by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- *... | 3,438 | [
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JackFram/llama-160m-base | 2023-11-05T03:53:09.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:wikipedia",
"arxiv:2305.09781",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | JackFram | null | null | JackFram/llama-160m-base | 0 | 1,217 | transformers | 2023-09-17T18:07:53 | ---
license: other
language:
- en
datasets:
- wikipedia
pipeline_tag: text-generation
---
## Model description
This is a LLaMA-like model with only 160M parameters trained on Wikipedia and part of the C4-en and C4-realnewslike datasets.
No evaluation has been conducted yet, so use it with care.
The model is mainly d... | 917 | [
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0.048187255859375,
0.037567138671875,
-0.055572509765625,
-0.03790283203125,
-0.033447265625,
0.01390... |
facebook/maskformer-swin-large-coco | 2023-09-11T20:46:05.000Z | [
"transformers",
"pytorch",
"safetensors",
"maskformer",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | facebook | null | null | facebook/maskformer-swin-large-coco | 16 | 1,216 | transformers | 2022-03-02T23:29:05 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- coco
widget:
- src: http://images.cocodataset.org/val2017/000000039769.jpg
example_title: Cats
- src: http://images.cocodataset.org/val2017/000000039770.jpg
example_title: Castle
---
# MaskFormer
MaskFormer model trained on COCO panoptic segmentat... | 2,742 | [
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0.004302978515625,
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0.0537109375,
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-0.059326171875,
-0.014595031738... |
hustvl/vitmatte-base-composition-1k | 2023-09-21T09:25:07.000Z | [
"transformers",
"pytorch",
"vitmatte",
"vision",
"arxiv:2305.15272",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | hustvl | null | null | hustvl/vitmatte-base-composition-1k | 2 | 1,216 | transformers | 2023-09-10T07:56:12 | ---
license: apache-2.0
tags:
- vision
---
# ViTMatte model
ViTMatte model trained on Composition-1k. It was introduced in the paper [ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers](https://arxiv.org/abs/2305.15272) by Yao et al. and first released in [this repository](https://github.com/h... | 1,716 | [
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TencentARC/t2iadapter_zoedepth_sd15v1 | 2023-07-31T10:48:46.000Z | [
"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_zoedepth_sd15v1 | 1 | 1,215 | diffusers | 2023-07-14T19:02:00 | ---
license: apache-2.0
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- t2i-adapter
- controlnet
- stable-diffusion
- image-to-image
---
# T2I Adapter - Zoedepth
T2I Adapter is a network providing additional conditioning to stable diffusion. Each t2i checkpoint takes a different type of conditionin... | 10,339 | [
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timm/vit_base_patch8_224.augreg_in21k_ft_in1k | 2023-05-06T00:00:14.000Z | [
"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_base_patch8_224.augreg_in21k_ft_in1k | 0 | 1,213 | timm | 2022-12-22T07:23:26 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_base_patch8_224.augreg_in21k_ft_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additional augmentation ... | 3,903 | [
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-0.048309326171875,
0.... |
mgoin/all-MiniLM-L6-v2-ONNX | 2023-09-21T14:24:40.000Z | [
"transformers",
"onnx",
"bert",
"feature-extraction",
"mteb",
"deepsparse",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | mgoin | null | null | mgoin/all-MiniLM-L6-v2-ONNX | 0 | 1,213 | transformers | 2023-09-20T20:34:45 | ---
tags:
- mteb
- deepsparse
model-index:
- name: all-MiniLM-L6-v2-ONNX
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba20... | 13,400 | [
[
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-0.01044464111328125,
-0.0274505615234... |
snunlp/KR-ELECTRA-discriminator | 2022-05-04T06:22:51.000Z | [
"transformers",
"pytorch",
"electra",
"pretraining",
"ko",
"endpoints_compatible",
"region:us"
] | null | snunlp | null | null | snunlp/KR-ELECTRA-discriminator | 8 | 1,212 | transformers | 2022-03-02T23:29:05 | ---
language:
- "ko"
---
## KoRean based ELECTRA (KR-ELECTRA)
This is a release of a Korean-specific ELECTRA model with comparable or better performances developed by the Computational Linguistics Lab at Seoul National University. Our model shows remarkable performances on tasks related to informal texts such as r... | 4,826 | [
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BAAI/bge-base-zh | 2023-10-12T03:37:45.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"zh",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | BAAI | null | null | BAAI/bge-base-zh | 35 | 1,212 | transformers | 2023-08-05T08:02:30 | ---
license: mit
language:
- zh
---
**Recommend switching to newest [BAAI/bge-base-zh-v1.5](https://huggingface.co/BAAI/bge-base-zh-v1.5), which has more reasonable similarity distribution and same method of usage.**
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Mode... | 27,347 | [
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0.0260772705078125,
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-0.06475830078125,
-0.037322998046875,
-0.004... |
jncraton/gte-tiny-ct2-int8 | 2023-10-14T15:44:06.000Z | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"mteb",
"model-index",
"endpoints_compatible",
"region:us",
"has_space"
] | sentence-similarity | jncraton | null | null | jncraton/gte-tiny-ct2-int8 | 0 | 1,212 | sentence-transformers | 2023-10-14T15:32:30 | ---
model-index:
- name: gte_tiny
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
... | 65,446 | [
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facebook/wav2vec2-large-robust-ft-libri-960h | 2023-06-23T16:47:23.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"audio",
"en",
"dataset:libri_light",
"dataset:common_voice",
"dataset:switchboard",
"dataset:fisher",
"dataset:librispeech_asr",
"arxiv:2104.01027",
"license:apache-2.0",
"endpoints_compati... | automatic-speech-recognition | facebook | null | null | facebook/wav2vec2-large-robust-ft-libri-960h | 8 | 1,211 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- libri_light
- common_voice
- switchboard
- fisher
- librispeech_asr
tags:
- speech
- audio
- automatic-speech-recognition
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cd... | 3,964 | [
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tugstugi/bert-large-mongolian-uncased | 2021-05-20T08:19:28.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"mongolian",
"uncased",
"mn",
"arxiv:1810.04805",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | tugstugi | null | null | tugstugi/bert-large-mongolian-uncased | 5 | 1,211 | transformers | 2022-03-02T23:29:05 | ---
language: "mn"
tags:
- bert
- mongolian
- uncased
---
# BERT-LARGE-MONGOLIAN-UNCASED
[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://... | 2,603 | [
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alvations/autotrain-ara-transliterate-1259548205 | 2023-03-16T00:44:52.000Z | [
"transformers",
"pytorch",
"marian",
"text2text-generation",
"autotrain",
"translation",
"en",
"ar",
"multilingual",
"dataset:alvations/autotrain-data-ara-transliterate",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | alvations | null | null | alvations/autotrain-ara-transliterate-1259548205 | 0 | 1,211 | transformers | 2022-08-15T12:23:51 | ---
language:
- en
- ar
- multilingual
tags:
- autotrain
- translation
datasets:
- alvations/autotrain-data-ara-transliterate
co2_eq_emissions:
emissions: 1938.877077145461
---
# Model Trained Using AutoTrain
- Problem type: Translation
- Model ID: 1259548205
- CO2 Emissions (in grams): 1938.8771
## Validation Met... | 376 | [
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timm/eva02_enormous_patch14_clip_224.laion2b_s4b_b115k | 2023-04-11T00:18:32.000Z | [
"open_clip",
"zero-shot-image-classification",
"clip",
"license:mit",
"region:us",
"has_space"
] | zero-shot-image-classification | timm | null | null | timm/eva02_enormous_patch14_clip_224.laion2b_s4b_b115k | 1 | 1,211 | open_clip | 2023-04-10T23:15:05 | ---
tags:
- zero-shot-image-classification
- clip
library_tag: open_clip
license: mit
---
# Model card for eva02_enormous_patch14_clip_224.laion2b_s4b_b115k
| 157 | [
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readerbench/RoBERT-base | 2023-06-21T10:08:18.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"endpoints_compatible",
"has_space",
"region:us"
] | null | readerbench | null | null | readerbench/RoBERT-base | 2 | 1,210 | transformers | 2022-03-02T23:29:05 | Model card for RoBERT-base
---
language:
- ro
---
# RoBERT-base
## Pretrained BERT model for Romanian
Pretrained model on Romanian language using a masked language modeling (MLM) and next sentence prediction (NSP) objective.
It was introduced in this [paper](https://www.aclweb.org/anthology/2020.coling-main.581... | 4,718 | [
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0.0160675... |
digiplay/2-KWI | 2023-06-25T16:25:23.000Z | [
"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/2-KWI | 3 | 1,209 | diffusers | 2023-06-25T05:15:56 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/93891/2-kwi
Original Author's DEMO image :
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f6adc7b4-8150-4292-9b3b-509ca31ee771/width=1024/02016-4011654... | 497 | [
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0.030548095703125,
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0.0174713134765625,
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0.031585693359375,
0.04083251953125,
-0.066650390625,
-0.039215087890625,
-0.03131103515625,
-0.... |
Yntec/DucHaiten-StyleLikeMeVAE | 2023-07-26T09:07:38.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"DucHaiten",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/DucHaiten-StyleLikeMeVAE | 1 | 1,209 | diffusers | 2023-07-26T08:46:00 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- DucHaiten
---
# Style Like DucHaiten VAE
Ladies and gentlemen, I present what DucHaiten has to say about this model:
https://huggingface.co/DucHai... | 385 | [
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-0.01170349121... |
bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12 | 2021-09-24T07:45:33.000Z | [
"transformers",
"pytorch",
"bluebert",
"en",
"dataset:pubmed",
"license:cc0-1.0",
"endpoints_compatible",
"region:us"
] | null | bionlp | null | null | bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12 | 5 | 1,208 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- bluebert
license: cc0-1.0
datasets:
- pubmed
---
# BlueBert-Base, Uncased, PubMed
## Model description
A BERT model pre-trained on PubMed abstracts
## Intended uses & limitations
#### How to use
Please see https://github.com/ncbi-nlp/bluebert
## Training data
We provide [preprocesse... | 1,620 | [
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0.027... |
ConvLab/t5-small-nlu-multiwoz21 | 2022-11-25T11:13:22.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"t5-small",
"natural language understanding",
"conversational system",
"task-oriented dialog",
"en",
"dataset:ConvLab/multiwoz21",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generatio... | text2text-generation | ConvLab | null | null | ConvLab/t5-small-nlu-multiwoz21 | 0 | 1,208 | transformers | 2022-11-25T04:25:43 | ---
language:
- en
license: apache-2.0
tags:
- t5-small
- text2text-generation
- natural language understanding
- conversational system
- task-oriented dialog
datasets:
- ConvLab/multiwoz21
metrics:
- Dialog acts Accuracy
- Dialog acts F1
model-index:
- name: t5-small-nlu-multiwoz21
results:
- task:
type: te... | 1,640 | [
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0.006046... |
consciousAI/cai-stellaris-text-embeddings | 2023-06-23T15:27:38.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"mteb",
"model-index",
"endpoints_compatible",
"region:us"
] | sentence-similarity | consciousAI | null | null | consciousAI/cai-stellaris-text-embeddings | 0 | 1,208 | sentence-transformers | 2023-06-23T15:01:50 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
model-index:
- name: cai-stellaris-text-embeddings
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification... | 41,485 | [
[
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0.0352783203125,
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-0.044708251953125,
-0.0030632019... |
GAI-LLM/ko-en-llama2-13b-mixed-v3 | 2023-10-27T00:43:02.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"license:cc-by-nc-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | GAI-LLM | null | null | GAI-LLM/ko-en-llama2-13b-mixed-v3 | 0 | 1,208 | transformers | 2023-10-22T22:36:08 | ---
license: cc-by-nc-2.0
language:
- ko
library_name: transformers
pipeline_tag: text-generation
---
**The license is `cc-by-nc-2.0`.**
# **GAI-LLM/ko-en-llama2-13b-mixed-v3**
## Model Details
**Model Developers** Donghoon Oh, Hanmin Myung, Eunyoung Kim (SK C&C G.AI Eng)
**Input** Models input text only.
*... | 1,299 | [
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TencentARC/t2iadapter_sketch_sd15v2 | 2023-08-01T09:42:42.000Z | [
"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_sketch_sd15v2 | 2 | 1,207 | diffusers | 2023-07-14T19:01:49 | ---
license: apache-2.0
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- t2i-adapter
- controlnet
- stable-diffusion
- image-to-image
---
# T2I Adapter - Sketch
T2I Adapter is a network providing additional conditioning to stable diffusion. Each t2i checkpoint takes a different type of conditioning ... | 7,915 | [
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-... |
flax-community/alberti-bert-base-multilingual-cased | 2023-08-07T12:10:54.000Z | [
"transformers",
"pytorch",
"jax",
"joblib",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"es",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | flax-community | null | null | flax-community/alberti-bert-base-multilingual-cased | 5 | 1,206 | transformers | 2022-03-02T23:29:05 | ---
language: es
license: cc-by-4.0
tags:
- multilingual
- bert
pipeline_tag: fill-mask
widget:
- text: ¿Qué es la vida? Un [MASK].
---
<div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark... | 4,961 | [
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0.021... |
Yntec/SamaritanDoesArt | 2023-08-09T10:15:40.000Z | [
"diffusers",
"art",
"anime",
"style",
"3D",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"jinofcoolnes",
"PromptSharingSamaritan",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/SamaritanDoesArt | 3 | 1,206 | diffusers | 2023-08-07T14:37:21 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- art
- anime
- style
- 3D
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- jinofcoolnes
- PromptSharingSamaritan
inference: true
---
# samaritanDoesArt
Samples and prompts:
![sample](https://... | 878 | [
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0.033905029296875,
0.04351806640625,
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-0.00021207332611083984,
0.026397705078125,
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0.06109619140625,
0.028961181640625,
-0.048858642578125,
-0.02294921875,
-0.04473876953125,
0.00... |
doyoungkim/bert-base-uncased-finetuned-sst2 | 2022-10-12T13:09:42.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | doyoungkim | null | null | doyoungkim/bert-base-uncased-finetuned-sst2 | 2 | 1,205 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model_index:
- name: bert-base-uncased-finetuned-sst2
results:
- dataset:
name: glue
type: glue
args: sst2
metric:
name: Accuracy
type: accuracy
value: 0.926605504587156
---
<!-- This... | 1,767 | [
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0.0201568603515625,
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lanwuwei/GigaBERT-v4-Arabic-and-English | 2021-05-19T21:19:13.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | feature-extraction | lanwuwei | null | null | lanwuwei/GigaBERT-v4-Arabic-and-English | 3 | 1,205 | transformers | 2022-03-02T23:29:05 | ## GigaBERT-v4
GigaBERT-v4 is a continued pre-training of [GigaBERT-v3](https://huggingface.co/lanwuwei/GigaBERT-v3-Arabic-and-English) on code-switched data, showing improved zero-shot transfer performance from English to Arabic on information extraction (IE) tasks. More details can be found in the following paper:
... | 1,022 | [
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0... |
TheRaphael0000/mixes0000 | 2023-04-10T10:41:49.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"region:us"
] | text-to-image | TheRaphael0000 | null | null | TheRaphael0000/mixes0000 | 15 | 1,205 | diffusers | 2023-02-25T19:22:42 | ---
language:
- en
thumbnail: >-
https://huggingface.co/TheRaphael0000/mixes0000/resolve/main/showcase/soul0000-banner.png
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# Direct Download Links
- [soul0000](https://huggingface.co/TheRaphael0000/mixes0000/resolve/main... | 4,529 | [
[
-0.04010009765625,
-0.0390625,
0.031646728515625,
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0.002969741821289... |
macrmaw/rc-car-ftl | 2023-08-11T19:03:41.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | macrmaw | null | null | macrmaw/rc-car-ftl | 0 | 1,205 | diffusers | 2023-08-11T18:59:26 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### RC-Car-[-ftl-] Dreambooth model trained by macrmaw following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: VJCET538
Sample pictures of this concept:
![0](https://huggingface.... | 388 | [
[
-0.057861328125,
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mdarhri00/named-entity-recognition | 2023-10-08T17:02:56.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | mdarhri00 | null | null | mdarhri00/named-entity-recognition | 3 | 1,205 | transformers | 2023-09-18T16:43:47 | ---
pipeline_tag: token-classification
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
The NER model developed using BERT is designed to recognize named entities in text for multiple languages, including Arabic, French, and English. It is adaptable to new labels, allowing use... | 2,706 | [
[
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0.038330078125,
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-0.037628173828125,
-0.03985595703125,
0.0051... |
TencentARC/t2iadapter_depth_sd15v2 | 2023-07-31T11:10:44.000Z | [
"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_depth_sd15v2 | 0 | 1,204 | diffusers | 2023-07-14T19:01:05 | ---
license: apache-2.0
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- t2i-adapter
- controlnet
- stable-diffusion
- image-to-image
---
# T2I Adapter - Depth
T2I Adapter is a network providing additional conditioning to stable diffusion. Each t2i checkpoint takes a different type of conditioning a... | 7,840 | [
[
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-0.044586181640625,
-0.051025390625,
... |
EnD-Diffusers/Porcelain-Dusk-Mix-V1 | 2023-04-17T07:23:49.000Z | [
"diffusers",
"stable diffusion",
"merge",
"anime",
"digital art",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | EnD-Diffusers | null | null | EnD-Diffusers/Porcelain-Dusk-Mix-V1 | 2 | 1,203 | diffusers | 2023-04-16T00:14:04 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable diffusion
- merge
- anime
- digital art
---
# Duskfall's Digital Fantasy MERGE model by Duskfallcrew with Anything 3.0 and Something 2.2 in the Mix
You run your new concept via `diffusers` [Colab Notebo... | 947 | [
[
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0.033599853515625,
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-0.02325439453125,
-0.021392822265625,
-0.0244... |
hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier | 2023-04-15T06:40:02.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"id",
"dataset:indonlu",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | hanifnoerr | null | null | hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier | 1 | 1,202 | transformers | 2023-04-07T01:10:10 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- indonlu
metrics:
- accuracy
- f1
model-index:
- name: Fine-tuned-Indonesian-Sentiment-Classifier
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: indonlu
type: indonlu
config: smsa
... | 3,720 | [
[
-0.047088623046875,
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0.010223388671875,
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0.02972412109375,
0.021820068359375,
-0.042266845703125,
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nota-ai/bk-sdm-base | 2023-08-19T12:13:35.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dataset:ChristophSchuhmann/improved_aesthetics_6.5plus",
"arxiv:2305.15798",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | nota-ai | null | null | nota-ai/bk-sdm-base | 11 | 1,202 | diffusers | 2023-07-10T06:50:32 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
datasets:
- ChristophSchuhmann/improved_aesthetics_6.5plus
library_name: diffusers
pipeline_tag: text-to-image
extra_gated_prompt: >-
This model is open access and available to all, with a CreativeML OpenRAIL-M
... | 11,928 | [
[
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0.02191162109375,
0.03399658203125,
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-0.036346435546875,
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0.00... |
macrmaw/ucl-match-ball | 2023-08-11T16:24:26.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | macrmaw | null | null | macrmaw/ucl-match-ball | 0 | 1,202 | diffusers | 2023-08-11T16:11:50 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### UCL-match-ball Dreambooth model trained by macrmaw following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: VJCET538
Sample pictures of this concept:
| 293 | [
[
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0.01495361328125,
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uer/gpt2-chinese-poem | 2023-10-17T15:14:25.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"zh",
"arxiv:1909.05658",
"arxiv:2212.06385",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | uer | null | null | uer/gpt2-chinese-poem | 30 | 1,201 | transformers | 2022-03-02T23:29:05 | ---
language: zh
widget:
- text: "[CLS] 万 叠 春 山 积 雨 晴 ，"
- text: "[CLS] 大 漠"
---
# Chinese Poem GPT2 Model
## Model description
The model is pre-trained by [UER-py](https://github.com/dbiir/UER-py/), which is introduced in [this paper](https://arxiv.org/abs/1909.05658). Besides, the model could also be pre-train... | 5,037 | [
[
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0.0312347412109375,
-0.04278564453125,
-0.0297698974609375,
-0.050567626953125,
-0.008... |
EleutherAI/pythia-2.8b-deduped-v0 | 2023-07-10T01:32:13.000Z | [
"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-2.8b-deduped-v0 | 5 | 1,201 | transformers | 2022-11-23T17:41:01 | ---
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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0.01404571533203125,
0.0158538818359375,
-0.024139404296875,
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... |
microsoft/swin-large-patch4-window12-384-in22k | 2022-05-16T18:40:51.000Z | [
"transformers",
"pytorch",
"tf",
"swin",
"image-classification",
"vision",
"dataset:imagenet-21k",
"arxiv:2103.14030",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | microsoft | null | null | microsoft/swin-large-patch4-window12-384-in22k | 3 | 1,200 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-21k
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: http... | 3,753 | [
[
-0.0496826171875,
-0.0274810791015625,
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0.01194000244140625,
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0.0052337646484375,
0.023590087890625,
-0.040283203125,
-0.0137176513671875,
-0.043792724609375,
... |
xlm-roberta-large-finetuned-conll03-german | 2022-07-22T08:06:55.000Z | [
"transformers",
"pytorch",
"rust",
"xlm-roberta",
"token-classification",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
... | token-classification | null | null | null | xlm-roberta-large-finetuned-conll03-german | 3 | 1,199 | transformers | 2022-03-02T23:29:04 | ---
language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- lv
- mg
- mk
- ml
- mn
- mr
- ms
- my
... | 6,463 | [
[
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0.0092010498046875,
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0.010955810546875,
0.028228759765625,
-0.03277587890625,
-0.043609619140625,
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0.00... |
KoalaAI/Text-Moderation | 2023-10-06T16:26:01.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta",
"text-classification",
"autotrain",
"en",
"dataset:mmathys/openai-moderation-api-evaluation",
"dataset:DarwinAnim8or/autotrain-data-text-moderation-v2-small",
"license:openrail",
"co2_eq_emissions",
"endpoints_compatible",
"has_space",
"... | text-classification | KoalaAI | null | null | KoalaAI/Text-Moderation | 1 | 1,198 | transformers | 2023-10-05T18:14:54 | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: I love AutoTrain
- text: I absolutely hate those people
- text: I love cake!
- text: >-
lets build the wall and deport illegals "they walk across the border like
this is Central park"
- text: EU offers to pay countries 6,000 euros per pe... | 5,333 | [
[
-0.019866943359375,
-0.06243896484375,
0.0173492431640625,
0.0193634033203125,
-0.027984619140625,
-0.0233306884765625,
0.0020599365234375,
-0.034576416015625,
-0.00510406494140625,
0.042877197265625,
-0.042083740234375,
-0.05206298828125,
-0.057037353515625,
... |
microsoft/deberta-v2-xxlarge-mnli | 2021-05-21T20:08:40.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"deberta",
"deberta-mnli",
"en",
"arxiv:2006.03654",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | microsoft | null | null | microsoft/deberta-v2-xxlarge-mnli | 7 | 1,193 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- deberta
- deberta-mnli
tasks: mnli
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
widget:
- text: "[CLS] I love you. [SEP] I like you. [SEP]"
---
## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
[DeBERTa](https://arxiv.org/abs/2006.03654) improves... | 4,795 | [
[
-0.037078857421875,
-0.049468994140625,
0.0230560302734375,
0.033660888671875,
-0.01294708251953125,
0.01068878173828125,
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0.0200042724609375,
0.01154327392578125,
-0.0634765625,
-0.0260772705078125,
-0.0672607421875,
... |
Yntec/ClassicEra | 2023-09-11T03:06:34.000Z | [
"diffusers",
"Anime",
"3D",
"Classic Animation",
"DucHaiten",
"text-to-image",
"stable-diffusion",
"stable-diffusion-diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/ClassicEra | 2 | 1,193 | diffusers | 2023-09-11T00:27:30 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- 3D
- Classic Animation
- DucHaiten
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
---
# Classic Era
A mix of DucHaiten-ClassicAnime with DucHaiten-GoldenLife so GoldenLife can use Classi... | 1,831 | [
[
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-0.0174102783203125,
0.01453399658203125,
-0.017913818359375,
0.047027587890625,
0.06842041015625,
-0.0670166015625,
-0.029144287109375,
-0.0258941650390625,
... |
TheBloke/Phind-CodeLlama-34B-v2-AWQ | 2023-09-27T12:51:22.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"code llama",
"license:llama2",
"model-index",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Phind-CodeLlama-34B-v2-AWQ | 18 | 1,193 | transformers | 2023-09-19T10:08:38 | ---
license: llama2
tags:
- code llama
base_model: Phind/Phind-CodeLlama-34B-v2
inference: false
model_creator: Phind
model_type: llama
prompt_template: '### System Prompt
{system_message}
### User Message
{prompt}
### Assistant
'
quantized_by: TheBloke
model-index:
- name: Phind-CodeLlama-34B-v1
res... | 13,947 | [
[
-0.039276123046875,
-0.056365966796875,
0.02520751953125,
0.0013723373413085938,
-0.01702880859375,
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0.00707244873046875,
-0.036468505859375,
-0.00658416748046875,
0.0256500244140625,
-0.0465087890625,
-0.035186767578125,
-0.0196685791015625... |
microsoft/speecht5_vc | 2023-03-22T20:10:32.000Z | [
"transformers",
"pytorch",
"speecht5",
"audio",
"audio-to-audio",
"dataset:cmu-arctic",
"arxiv:2110.07205",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-to-audio | microsoft | null | null | microsoft/speecht5_vc | 38 | 1,192 | transformers | 2023-02-02T13:01:55 | ---
license: mit
tags:
- audio
- audio-to-audio
datasets:
- cmu-arctic
---
# SpeechT5 (voice conversion task)
SpeechT5 model fine-tuned for voice conversion (speech-to-speech) on CMU ARCTIC.
This model was introduced in [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arx... | 4,303 | [
[
-0.03216552734375,
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-0.030548095703125,
-0.025909423828125,
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0.02447509765625,
-0.042877197265625,
-0.0443115234375,
-0.0281219482421875,
0.0... |
stablediffusionapi/amireal | 2023-04-25T20:27:26.000Z | [
"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/amireal | 2 | 1,192 | diffusers | 2023-04-25T20:26:38 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# amireal API Inference
## Get API Key
... | 2,388 | [
[
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-0.0633544921875,
-0.02593994140625,
-0.0040... |
julien-c/flair-ner | 2020-11-26T22:01:14.000Z | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"en",
"dataset:conll2003",
"region:us"
] | token-classification | julien-c | null | null | julien-c/flair-ner | 0 | 1,191 | flair | 2022-03-02T23:29:05 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: en
datasets:
- conll2003
inference: false
---
## Flair NER model `en-ner-conll03-v0.4.pt`
Imported from https://nlp.informatik.hu-berlin.de/resources/models/ner/
### Demo: How to use in Flair
```python
from flair.data import Sentence
from fl... | 864 | [
[
-0.0242462158203125,
-0.041473388671875,
0.0032901763916015625,
0.0246124267578125,
-0.016265869140625,
-0.01078033447265625,
-0.00864410400390625,
-0.0328369140625,
0.053985595703125,
0.0279693603515625,
-0.047332763671875,
-0.0251312255859375,
-0.031494140625,... |
timm/tf_efficientnet_l2.ns_jft_in1k_475 | 2023-04-27T21:38:06.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.04252",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_l2.ns_jft_in1k_475 | 1 | 1,191 | timm | 2022-12-13T00:11:28 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_l2.ns_jft_in1k_475
A EfficientNet image classification model. Trained on ImageNet-1k and unlabeled JFT-300m using Noisy Student semi-supervised learning in Tensorflow by paper aut... | 4,628 | [
[
-0.02886962890625,
-0.0408935546875,
-0.0075225830078125,
0.00841522216796875,
-0.0178070068359375,
-0.02838134765625,
-0.02557373046875,
-0.03302001953125,
0.0112762451171875,
0.0261077880859375,
-0.0240020751953125,
-0.0406494140625,
-0.05517578125,
-0.011... |
olgaduchovny/t5-base-ner-mit-movie | 2022-08-08T18:38:54.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"ner",
"text generation",
"seq2seq",
"en",
"dataset:conll2003",
"arxiv:2203.03903",
"license:mit",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | olgaduchovny | null | null | olgaduchovny/t5-base-ner-mit-movie | 0 | 1,190 | transformers | 2022-08-08T18:21:54 | ---
language:
- en
tags:
- pytorch
- ner
- text generation
- seq2seq
inference: false
license: mit
datasets:
- conll2003
metrics:
- f1
---
# t5-base-qa-ner-conll
Unofficial implementation of [InstructionNER](https://arxiv.org/pdf/2203.03903v1.pdf).
t5-base model tuned on conll2003 dataset.
https://github.com/... | 1,321 | [
[
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-0.050506591796875,
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-0.038330078125,
... |
csebuetnlp/banglat5_banglaparaphrase | 2022-11-05T17:14:38.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"bn",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | csebuetnlp | null | null | csebuetnlp/banglat5_banglaparaphrase | 0 | 1,189 | transformers | 2022-10-15T04:19:58 | ---
language:
- bn
licenses:
- cc-by-nc-sa-4.0
---
# banglat5_banglaparaphrase
This repository contains the pretrained checkpoint of the model **BanglaT5** finetuned on [BanglaParaphrase](https://huggingface.co/datasets/csebuetnlp/BanglaParaphrase) dataset. This is a sequence to sequence transformer model pretrained... | 2,927 | [
[
-0.01495361328125,
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0.045166015625,
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-0.011322021484375,
-0.00524139404296875,
0.0014247894287109375,
0.017578125,
-0.026824951171875,
-0.04351806640625,
-0.048126220703125,
... |
hackathon-pln-es/paraphrase-spanish-distilroberta | 2022-04-02T18:33:17.000Z | [
"sentence-transformers",
"pytorch",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"es",
"dataset:hackathon-pln-es/parallel-sentences",
"arxiv:2004.09813",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | hackathon-pln-es | null | null | hackathon-pln-es/paraphrase-spanish-distilroberta | 9 | 1,188 | sentence-transformers | 2022-03-30T17:58:23 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
language:
- es
datasets:
- hackathon-pln-es/parallel-sentences
widget:
- text: "A ver si nos tenemos que poner todos en huelga hasta cobrar lo que queramos."
- text: "La huelga es el método de l... | 6,150 | [
[
-0.0203857421875,
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-0.024200439453125,
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0.019683837890625,
0.017333984375,
-0.03509521484375,
-0.046142578125,
-0.052001953125,
0.0224151611328125... |
MaartenGr/BERTopic_Wikipedia | 2023-05-31T17:58:03.000Z | [
"bertopic",
"text-classification",
"region:us"
] | text-classification | MaartenGr | null | null | MaartenGr/BERTopic_Wikipedia | 13 | 1,188 | bertopic | 2023-05-30T08:03:05 |
---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---
# Wikipedia
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
* Trained ... | 261,987 | [
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-0.038970947265625,
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... |
flaviagiammarino/pubmed-clip-vit-base-patch32 | 2023-07-12T13:08:14.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"clip",
"zero-shot-image-classification",
"medical",
"vision",
"en",
"arxiv:2112.13906",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-image-classification | flaviagiammarino | null | null | flaviagiammarino/pubmed-clip-vit-base-patch32 | 1 | 1,188 | transformers | 2023-06-13T16:18:14 | ---
license: mit
language:
- en
tags:
- medical
- vision
widget:
- src: "https://huggingface.co/flaviagiammarino/pubmed-clip-vit-base-patch32/resolve/main/scripts/input.jpeg"
candidate_labels: "Chest X-Ray, Brain MRI, Abdomen CT Scan"
example_title: "Abdomen CT Scan"
---
# Model Card for PubMedCLIP
PubMedCLIP is a... | 2,931 | [
[
-0.028717041015625,
-0.05731201171875,
0.047119140625,
-0.001567840576171875,
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0.0081787109375,
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0.031097412109375,
0.03338623046875,
-0.045074462890625,
-0.043792724609375,
-0.03900146484375,
0.007... |
stablediffusionapi/hentaiflow-eevee | 2023-07-24T13:23:23.000Z | [
"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/hentaiflow-eevee | 1 | 1,188 | diffusers | 2023-07-24T11:43:26 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Hentaiflow Eevee API Inference
## Get API Key
Get API ... | 2,472 | [
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0.025787353515625,
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0.047027587890625,
-0.060272216796875,
-0.052337646484375,
-0.0301513671875,
0.0054321... |
microsoft/git-base-textvqa | 2023-01-24T17:21:06.000Z | [
"transformers",
"pytorch",
"git",
"text-generation",
"vision",
"visual-question-answering",
"en",
"arxiv:2205.14100",
"license:mit",
"has_space",
"region:us"
] | visual-question-answering | microsoft | null | null | microsoft/git-base-textvqa | 6 | 1,187 | transformers | 2022-12-06T11:17:56 | ---
language: en
license: mit
tags:
- vision
model_name: microsoft/git-base-textvqa
inference: false
pipeline_tag: visual-question-answering
---
# GIT (GenerativeImage2Text), base-sized, fine-tuned on TextVQA
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on TextVQA. It was introduced in t... | 3,188 | [
[
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-0.05938720703125,
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-0.0046234130859375,
-0.032073974609375,
0.018707275390625,
0.034637451171875,
-0.0491943359375,
-0.0288238525390625,
-0.060394287109375,
... |
AI-Growth-Lab/PatentSBERTa | 2023-02-16T18:25:30.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:2103.11933",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | AI-Growth-Lab | null | null | AI-Growth-Lab/PatentSBERTa | 19 | 1,186 | sentence-transformers | 2022-03-02T23:29:04 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# PatentSBERTa
## PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT
### Aalborg University Business School, AI: Growth-Lab
https:... | 3,878 | [
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-0.01180267333984375,
-0.0166778564453125,
0.00998687744140625,
0.025390625,
-0.034271240234375,
-0.037933349609375,
-0.054168701171875,
-0... |
Maltehb/danish-bert-botxo | 2023-02-07T07:07:47.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"token-classification",
"danish",
"masked-lm",
"Certainly",
"fill-mask",
"da",
"dataset:common_crawl",
"dataset:wikipedia",
"dataset:dindebat.dk",
"dataset:hestenettet.dk",
"dataset:danishOpenSubtitles",
"license:cc-by-4.0",
"autotrai... | fill-mask | Maltehb | null | null | Maltehb/danish-bert-botxo | 7 | 1,186 | transformers | 2022-03-02T23:29:04 | ---
language: da
tags:
- danish
- bert
- masked-lm
- Certainly
license: cc-by-4.0
datasets:
- common_crawl
- wikipedia
- dindebat.dk
- hestenettet.dk
- danishOpenSubtitles
pipeline_tag: fill-mask
widget:
- text: "København er [MASK] i Danmark."
---
# Danish BERT (version 2, uncased) by [Certainly](https://certainly.io... | 1,304 | [
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0.002323... |
digiplay/DarkSushi2.5D_v1 | 2023-06-23T04:55:37.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/DarkSushi2.5D_v1 | 3 | 1,186 | diffusers | 2023-06-23T02:48:10 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/48671?modelVersionId=53252
Original Author's DEMO image :
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fb58f9fa-d9f9-46fc-b424-0600ceabcd00/width=1... | 540 | [
[
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0.042633056640625,
-0.0528564453125,
-0.05401611328125,
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vinai/bartpho-syllable-base | 2022-10-22T09:00:27.000Z | [
"transformers",
"pytorch",
"mbart",
"feature-extraction",
"arxiv:2109.09701",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | vinai | null | null | vinai/bartpho-syllable-base | 0 | 1,185 | transformers | 2022-08-19T14:21:32 | # <a name="introduction"></a> BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
The pre-trained model `vinai/bartpho-syllable-base` is the "base" variant of `BARTpho-syllable`, which uses the "base" architecture and pre-training scheme of the sequence-to-sequence denoising model [BART](https://github.co... | 983 | [
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0... |
Marfuen98/photorealistic-1 | 2023-06-19T19:01:19.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Marfuen98 | null | null | Marfuen98/photorealistic-1 | 0 | 1,185 | diffusers | 2023-07-01T20:21:14 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/43331?modelVersionId=94640
| 193 | [
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cambridgeltl/SapBERT-UMLS-2020AB-all-lang-from-XLMR | 2023-06-14T19:00:30.000Z | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:2010.11784",
"endpoints_compatible",
"region:us"
] | feature-extraction | cambridgeltl | null | null | cambridgeltl/SapBERT-UMLS-2020AB-all-lang-from-XLMR | 1 | 1,184 | transformers | 2022-03-02T23:29:05 | ---
language: multilingual
tags:
- biomedical
- lexical-semantics
- cross-lingual
datasets:
- UMLS
**[news]** A cross-lingual extension of SapBERT will appear in the main onference of **ACL 2021**! <br>
**[news]** SapBERT will appear in the conference proceedings of **NAACL 2021**!
### SapBERT-XLMR
SapBERT [(Liu et... | 2,282 | [
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0.022216796875,
0.04254150390625,
-0.015869140625,
-0.0684814453125,
-0.043914794921875,
0.00655... |
TheBloke/WizardMath-70B-V1.0-GPTQ | 2023-09-27T12:45:42.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/WizardMath-70B-V1.0-GPTQ | 5 | 1,184 | transformers | 2023-08-11T18:10:40 | ---
license: llama2
model_name: WizardMath 70B V1.0
base_model: WizardLM/WizardMath-70B-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.
### Instruction:
{prompt}
###... | 23,576 | [
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0.01453399658203125,
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EleutherAI/pythia-12b-v0 | 2023-03-29T18:46:38.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"pythia_v0",
"en",
"dataset:the_pile",
"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-12b-v0 | 21 | 1,183 | transformers | 2022-10-16T19:03:14 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
- pythia_v0
license: apache-2.0
datasets:
- the_pile
---
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, 2.8B, 6.9B, and 12B. For ea... | 11,774 | [
[
-0.0265655517578125,
-0.062164306640625,
0.021270751953125,
0.005931854248046875,
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0.013580322265625,
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uitnlp/visobert | 2023-10-28T15:35:36.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"arxiv:2310.11166",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | uitnlp | null | null | uitnlp/visobert | 14 | 1,183 | transformers | 2023-10-17T06:13:28 | ---
pipeline_tag: fill-mask
widget:
- text: "hào quang rực <mask>"
---
# <a name="introduction"></a> ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing (EMNLP 2023 - Main)
**Disclaimer**: The paper contains actual comments on social networks that might be construed as abusive, offensive... | 1,857 | [
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climatebert/distilroberta-base-climate-tcfd | 2023-06-20T18:51:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"text-classification",
"climate",
"en",
"dataset:climatebert/tcfd_recommendations",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | climatebert | null | null | climatebert/distilroberta-base-climate-tcfd | 0 | 1,178 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
datasets:
- climatebert/tcfd_recommendations
language:
- en
metrics:
- accuracy
tags:
- climate
---
# Model Card for distilroberta-base-climate-tcfd
## Model Description
This is the fine-tuned ClimateBERT language model with a classification head for classifying climate-related paragraphs int... | 2,306 | [
[
-0.0303955078125,
-0.046905517578125,
0.016937255859375,
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0.033294677734375,
-0.03582763671875,
-0.0555419921875,
-0.054046630859375,
... |
stabilityai/japanese-stablelm-3b-4e1t-instruct | 2023-10-25T01:53:07.000Z | [
"transformers",
"safetensors",
"stablelm_epoch",
"text-generation",
"japanese-stablelm",
"causal-lm",
"custom_code",
"ja",
"arxiv:2307.09288",
"arxiv:2104.09864",
"arxiv:2204.06745",
"arxiv:1607.06450",
"arxiv:1910.07467",
"license:apache-2.0",
"region:us"
] | text-generation | stabilityai | null | null | stabilityai/japanese-stablelm-3b-4e1t-instruct | 15 | 1,178 | transformers | 2023-10-16T07:50:31 | ---
language:
- ja
tags:
- japanese-stablelm
- causal-lm
pipeline_tag: text-generation
license: apache-2.0
extra_gated_fields:
Name: text
Email: text
Country: text
Organization or Affiliation: text
I allow Stability AI to contact me about information related to its models and research: checkbox
---
# Japanes... | 5,892 | [
[
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0.02899169921875,
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-0.0517578125,
-0.04534912109375,
0.01338... |
digiplay/Colorful_v3.1 | 2023-07-18T18:09:01.000Z | [
"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/Colorful_v3.1 | 1 | 1,177 | diffusers | 2023-07-18T00:14:40 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/7279?modelVersionId=90599
Original Author's DEMO image :
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7bd73518-9fc0-4388-8818-8353f55922bd/width=720... | 329 | [
[
-0.0231170654296875,
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0.0357666015625,
0.0105743408203125,
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0.0207061767578125,
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0.045745849609375,
0.0526123046875,
-0.050384521484375,
-0.018798828125,
-0.0011739730834960938,
... |
Mitsua/mitsua-diffusion-one | 2023-03-09T11:31:33.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"stable-diffusion-diffusers",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Mitsua | null | null | Mitsua/mitsua-diffusion-one | 66 | 1,176 | diffusers | 2023-03-03T09:55:55 | ---
license: other
tags:
- stable-diffusion
- text-to-image
- stable-diffusion-diffusers
- diffusers
inference: true
---
# Mitsua Diffusion One Model Card
Mitsua Diffusion One is a latent text-to-image diffusion model, which is a successor of [Mitsua Diffusion CC0](https://huggingface.co/Mitsua/mitsua-diffusion-cc0).
... | 5,483 | [
[
-0.04718017578125,
-0.057464599609375,
0.03070068359375,
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-0.037811279296875,
-0.0178... |
timm/resnet50.fb_ssl_yfcc100m_ft_in1k | 2023-04-05T18:12:53.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1905.00546",
"arxiv:1512.03385",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/resnet50.fb_ssl_yfcc100m_ft_in1k | 0 | 1,176 | timm | 2023-04-05T18:12:27 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
---
# Model card for resnet50.fb_ssl_yfcc100m_ft_in1k
A ResNet-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Pretrained on a sub... | 38,445 | [
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0.08526611328125,
0.0196685791015625,
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-0.04022216796875,
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timm/coatnext_nano_rw_224.sw_in1k | 2023-05-10T23:51:19.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coatnext_nano_rw_224.sw_in1k | 0 | 1,175 | timm | 2023-01-20T21:29:41 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for coatnext_nano_rw_224.sw_in1k
A timm specific CoAtNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
ImageNet-1k training done on TPUs thanks to support of the [T... | 22,209 | [
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0.015960693359375,
-0.041900634765625,
-0.045379638671875,
-0.0477294921875,
-0... |
TheBloke/Llama-2-70B-AWQ | 2023-09-27T12:49:45.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-70B-AWQ | 5 | 1,175 | transformers | 2023-09-19T00:05:44 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 70B
base_model: meta-llama/Llama-2-70b-hf
inference: false
model_creator: Meta Llama 2
model_type: llama
pipeline_tag: text-generation
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start ... | 19,502 | [
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0.0238800048828125,
-0.049407958984375,
-0.0369873046875,
-0.023284912109375,... |
nielsr/layoutxlm-finetuned-xfund-fr | 2023-09-18T08:50:31.000Z | [
"transformers",
"pytorch",
"tensorboard",
"layoutlmv2",
"token-classification",
"generated_from_trainer",
"dataset:nielsr/XFUN",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"region:us"
] | token-classification | nielsr | null | null | nielsr/layoutxlm-finetuned-xfund-fr | 3 | 1,174 | transformers | 2022-09-19T10:48:36 | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- nielsr/XFUN
inference: false
base_model: microsoft/layoutxlm-base
model-index:
- name: layoutxlm-finetuned-xfund-fr
results: []
---
# layoutxlm-finetuned-xfund-fr
This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingf... | 2,052 | [
[
-0.0217742919921875,
-0.033843994140625,
0.0230865478515625,
0.00640106201171875,
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-0.002132415771484375,
-0.00286865234375,
-0.018341064453125,
0.0017719268798828125,
0.05133056640625,
-0.040557861328125,
-0.044586181640625,
-0.0372314453125... |
timm/tinynet_b.in1k | 2023-04-27T21:50:23.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2010.14819",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tinynet_b.in1k | 0 | 1,173 | timm | 2022-12-13T00:22:06 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tinynet_b.in1k
A TinyNet image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- P... | 3,929 | [
[
-0.03289794921875,
-0.037384033203125,
0.003360748291015625,
0.00133514404296875,
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sampathkethineedi/industry-classification | 2020-07-16T15:27:38.000Z | [
"transformers",
"pytorch",
"tf",
"distilbert",
"text-classification",
"tensorflow",
"industry",
"buisiness",
"description",
"multi-class",
"classification",
"en",
"has_space",
"region:us"
] | text-classification | sampathkethineedi | null | null | sampathkethineedi/industry-classification | 16 | 1,172 | transformers | 2022-03-02T23:29:05 | ---
language: "en"
thumbnail: "https://huggingface.co/sampathkethineedi"
tags:
- distilbert
- pytorch
- tensorflow
- text-classification
- industry
- buisiness
- description
- multi-class
- classification
liscence: "mit"
inference: false
---
# industry-classification
## Model description
DistilBERT Model to classif... | 1,225 | [
[
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postbot/gpt2-medium-emailgen | 2023-03-29T21:21:58.000Z | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"gpt2",
"text-generation",
"text generation",
"emailgen",
"email generation",
"email",
"dataset:aeslc",
"dataset:postbot/multi-emails-100k",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"regi... | text-generation | postbot | null | null | postbot/gpt2-medium-emailgen | 2 | 1,172 | transformers | 2022-09-29T10:01:21 | ---
license:
- apache-2.0
tags:
- text generation
- emailgen
- email generation
- email
datasets:
- aeslc
- postbot/multi-emails-100k
widget:
- text: "Good Morning Professor Beans,
Hope you are doing well. I just wanted to reach out and ask if differential calculus will be on the exam"
example_title: "email to pro... | 3,944 | [
[
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-0.04766845703125,
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... |
timm/tf_mobilenetv3_large_100.in1k | 2023-04-27T22:49:44.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.02244",
"license:apache-2.0",
"has_space",
"region:us"
] | image-classification | timm | null | null | timm/tf_mobilenetv3_large_100.in1k | 0 | 1,172 | timm | 2022-12-16T05:38:58 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_mobilenetv3_large_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
- **Model Ty... | 4,159 | [
[
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0.020355224609375,
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hf-internal-testing/tiny-sdxl-custom-components | 2023-10-20T14:23:45.000Z | [
"diffusers",
"onnx",
"text-to-image",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | hf-internal-testing | null | null | hf-internal-testing/tiny-sdxl-custom-components | 0 | 1,172 | diffusers | 2023-10-20T10:04:15 | ---
library_name: diffusers
tags:
- text-to-image
---
```python
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-sdxl-custom-components", trust_remote_code=True)
assert pipeline.config.unet == ('diffusers_modules.local.my_unet_model', 'MyUNetModel')
assert... | 622 | [
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... |
Den4ikAI/FRED-T5-LARGE_text_qa | 2023-06-21T16:54:07.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"ru",
"dataset:Den4ikAI/ru_sberquad_long_answers",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Den4ikAI | null | null | Den4ikAI/FRED-T5-LARGE_text_qa | 3 | 1,171 | transformers | 2023-05-29T10:04:44 | ---
license: mit
datasets:
- Den4ikAI/ru_sberquad_long_answers
language:
- ru
widget:
- text: '<SC6>Текст: Основными конкурентами РН Протон-М по цене и по выводимой полезной нагрузке являются американская РН Falcon 9, европейская ракета тяжёлого класса Ариан-5 компании Арианэспас и международный проект Морской старт с ... | 1,917 | [
[
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0.0014505386352539062,
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-0.037017822265625,
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... |
vinai/bartpho-word | 2022-10-22T09:05:26.000Z | [
"transformers",
"pytorch",
"tf",
"mbart",
"feature-extraction",
"arxiv:2109.09701",
"endpoints_compatible",
"region:us"
] | feature-extraction | vinai | null | null | vinai/bartpho-word | 0 | 1,170 | transformers | 2022-03-02T23:29:05 | # <a name="introduction"></a> BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
Two BARTpho versions `BARTpho-syllable` and `BARTpho-word` are the first public large-scale monolingual sequence-to-sequence models pre-trained for Vietnamese. BARTpho uses the "large" architecture and pre-training scheme of... | 1,361 | [
[
-0.0259857177734375,
-0.046142578125,
0.025146484375,
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0.062255859375,
-0.0277862548828125,
-0.0679931640625,
-0.04473876953125,
0.0421142578125,
... |
Zetatech/pvt-tiny-224 | 2023-09-12T04:51:39.000Z | [
"transformers",
"pytorch",
"safetensors",
"pvt",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2102.12122",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | Zetatech | null | null | Zetatech/pvt-tiny-224 | 0 | 1,170 | transformers | 2023-05-24T00:53:31 | ---
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... | 4,443 | [
[
-0.045745849609375,
-0.01116180419921875,
-0.0075836181640625,
-0.005008697509765625,
-0.03173828125,
-0.01244354248046875,
0.00820159912109375,
-0.028228759765625,
0.01142120361328125,
0.043182373046875,
-0.0289764404296875,
-0.01216888427734375,
-0.04843139648... |
facebook/mms-tts-spa | 2023-09-01T14:15:35.000Z | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-speech | facebook | null | null | facebook/mms-tts-spa | 3 | 1,170 | transformers | 2023-09-01T14:15:17 |
---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Spanish Text-to-Speech
This repository contains the **Spanish (spa)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.or... | 3,972 | [
[
-0.0260009765625,
-0.059112548828125,
0.01296234130859375,
0.040924072265625,
-0.0020751953125,
-0.0016422271728515625,
-0.021240234375,
-0.0227813720703125,
0.029296875,
0.0176849365234375,
-0.061492919921875,
-0.037200927734375,
-0.041839599609375,
0.00324... |
CAMeL-Lab/bert-base-arabic-camelbert-msa | 2021-09-14T14:33:41.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | CAMeL-Lab | null | null | CAMeL-Lab/bert-base-arabic-camelbert-msa | 5 | 1,169 | transformers | 2022-03-02T23:29:04 | ---
language:
- ar
license: apache-2.0
widget:
- text: "الهدف من الحياة هو [MASK] ."
---
# CAMeLBERT: A collection of pre-trained models for Arabic NLP tasks
## Model description
**CAMeLBERT** is a collection of BERT models pre-trained on Arabic texts with different sizes and variants.
We release pre-trained langu... | 10,757 | [
[
-0.029876708984375,
-0.042877197265625,
-0.005222320556640625,
0.0225067138671875,
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-0.00870513916015625,
-0.0262298583984375,
0.03436279296875,
0.0249786376953125,
-0.03912353515625,
-0.058380126953125,
-0.06951904296875,
0... |
plguillou/t5-base-fr-sum-cnndm | 2022-05-07T15:03:50.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"seq2seq",
"summarization",
"fr",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | summarization | plguillou | null | null | plguillou/t5-base-fr-sum-cnndm | 14 | 1,169 | transformers | 2022-03-02T23:29:05 | ---
language: fr
tags:
- pytorch
- t5
- seq2seq
- summarization
datasets: cnn_dailymail
widget:
- text: "Apollo 11 est une mission du programme spatial américain Apollo au cours de laquelle, pour la première fois, des hommes se sont posés sur la Lune, le lundi 21 juillet 1969. L'agence spatiale américaine, la NASA, rem... | 1,987 | [
[
-0.0153961181640625,
-0.035919189453125,
0.01959228515625,
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-0.0162811279296875,
-0.01235198974609375,
-0.003082275390625,
0.044647216796875,
-0.0262603759765625,
-0.056610107421875,
-0.0633544921875,
0.029... |
timm/mobilevitv2_100.cvnets_in1k | 2023-04-24T22:24:11.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2206.02680",
"license:other",
"region:us"
] | image-classification | timm | null | null | timm/mobilevitv2_100.cvnets_in1k | 0 | 1,169 | timm | 2023-04-24T22:23:59 | ---
tags:
- image-classification
- timm
library_name: timm
license: other
datasets:
- imagenet-1k
---
# Model card for mobilevitv2_100.cvnets_in1k
A MobileViT-v2 image classification model. Trained on ImageNet-1k by paper authors.
See license details at https://github.com/apple/ml-cvnets/blob/main/LICENSE
## Model D... | 3,699 | [
[
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-0.0223541259765625,
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0.01690673828125,
-0.0275421142578125,
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0.0196685791015625,
0.03411865234375,
-0.0360107421875,
-0.04913330078125,
-0.047698974609375,
... |
jin05102518/Astral-7B-Instruct-v0.01 | 2023-11-03T02:22:08.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | jin05102518 | null | null | jin05102518/Astral-7B-Instruct-v0.01 | 2 | 1,168 | transformers | 2023-10-13T14:52:17 | ---
language:
- ko
datasets:
- beomi/KoAlpaca-v1.1a
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
영어 Instruct 데이터셋을 사용했고 한국어 데이터셋은 오직 KoAlpaca-v1.1a 데이터셋만을 Full-Finetune으로 학습한 Mistral 모델입니다.
# **Prompt 예시**
```
prompt = "<|system|>\n</s>\n<|user|>\n쿠버네티스에 대해 알려줘</s>"
```
---
# *... | 1,400 | [
[
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-0.047149658203125,
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0.024871826171875,
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0.0276947021484375,
0.03753662109375,
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-0.0283355712890625,
-0.048370361328125,
... |
textattack/albert-base-v2-imdb | 2020-07-06T16:34:24.000Z | [
"transformers",
"pytorch",
"albert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/albert-base-v2-imdb | 0 | 1,167 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model Card
This `albert-base-v2` model was fine-tuned for sequence classification using TextAttack
and the imdb dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 32, a learning
rate of 2e-05, and a maximum sequence length of 128.
Since this was a classi... | 609 | [
[
-0.022491455078125,
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0.0174407958984375,
0.002727508544921875,
-0.029510498046875,
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0.004100799560546875,
-0.038604736328125,
-0.009735107421875,
0.0343017578125,
-0.03887939453125,
-0.04583740234375,
-0.04388427734375,
... |
facebook/mask2former-swin-base-ade-semantic | 2023-09-11T13:46:21.000Z | [
"transformers",
"pytorch",
"safetensors",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"region:us"
] | image-segmentation | facebook | null | null | facebook/mask2former-swin-base-ade-semantic | 0 | 1,167 | transformers | 2023-01-05T12:23:05 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- coco
widget:
- src: http://images.cocodataset.org/val2017/000000039769.jpg
example_title: Cats
- src: http://images.cocodataset.org/val2017/000000039770.jpg
example_title: Castle
---
# Mask2Former
Mask2Former model trained on ADE20k semantic segme... | 3,160 | [
[
-0.041839599609375,
-0.051055908203125,
0.023193359375,
0.01690673828125,
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0.01029205322265625,
-0.060302734375,
0.01264190673828125,
0.04638671875,
-0.058197021484375,
-0.03253173828125,
-0.06488037109375,
-0.027008056... |
Deci/DeciLM-6b-instruct | 2023-10-01T08:10:56.000Z | [
"transformers",
"safetensors",
"text-generation",
"Deci AI",
"DeciLM",
"Instruction",
"custom_code",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:Open-Orca/OpenOrca",
"license:llama2",
"license:other",
"model-index",
"has_space",
"region:us"
] | text-generation | Deci | null | null | Deci/DeciLM-6b-instruct | 125 | 1,167 | transformers | 2023-09-13T07:21:13 | ---
license: [llama2, other]
datasets:
- cerebras/SlimPajama-627B
- Open-Orca/OpenOrca
language:
- en
tags:
- Deci AI
- DeciLM
- Instruction
model-index:
- name: DeciLM 6B
results:
- task:
type: text-generation
dataset:
type: ai2/arc
name: ai2_arc
metrics:
- name: ARC Challenge
t... | 5,222 | [
[
-0.027496337890625,
-0.048583984375,
0.0161590576171875,
0.003566741943359375,
-0.01373291015625,
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-0.0077667236328125,
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0.004680633544921875,
0.034271240234375,
-0.044158935546875,
-0.054656982421875,
-0.04241943359375,
... |
stablediffusionapi/animeyouv3-sdxl | 2023-10-01T11:42:03.000Z | [
"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/animeyouv3-sdxl | 1 | 1,166 | diffusers | 2023-09-30T20:44:02 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# AnimeYouV3-SDXL API Inference
## Get ... | 2,482 | [
[
-0.03399658203125,
-0.049835205078125,
0.043670654296875,
0.019439697265625,
-0.037384033203125,
0.0004892349243164062,
0.031585693359375,
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0.036285400390625,
0.048065185546875,
-0.06427001953125,
-0.061614990234375,
-0.0261688232421875,
-... |
cointegrated/rut5-base-absum | 2023-03-17T10:21:13.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"russian",
"summarization",
"ru",
"dataset:IlyaGusev/gazeta",
"dataset:csebuetnlp/xlsum",
"dataset:mlsum",
"dataset:wiki_lingua",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-infe... | summarization | cointegrated | null | null | cointegrated/rut5-base-absum | 11 | 1,164 | transformers | 2022-03-02T23:29:05 | ---
language: ["ru"]
tags:
- russian
- summarization
datasets:
- IlyaGusev/gazeta
- csebuetnlp/xlsum
- mlsum
- wiki_lingua
license: mit
widget:
- text: "Высота башни составляет 324 метра (1063 фута), примерно такая же высота, как у 81-этажного здания, и самое высокое сооружение в Париже. Его основание квадратно, размер... | 3,264 | [
[
-0.02783203125,
-0.03485107421875,
0.0180206298828125,
0.0226287841796875,
-0.0357666015625,
-0.0016794204711914062,
-0.018585205078125,
-0.01070404052734375,
0.029815673828125,
0.006259918212890625,
-0.03118896484375,
-0.05841064453125,
-0.03863525390625,
0... |
AJCEMCA/my-pet-dog-axr | 2023-08-11T16:46:27.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | AJCEMCA | null | null | AJCEMCA/my-pet-dog-axr | 0 | 1,164 | diffusers | 2023-08-11T16:42:35 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog-AXR Dreambooth model trained by AJCEMCA following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: AJCE130
Sample pictures of this concept:
![0](https://huggingface.c... | 387 | [
[
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0.0341796875,
0.026947021484375,
-0.03533935546875,
-0.022247314453125,
-0.0162506103515625,
0.0086... |
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