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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
laion/CLIP-ViT-B-16-DataComp.L-s1B-b8K | 2023-04-26T01:37:53.000Z | [
"open_clip",
"zero-shot-image-classification",
"clip",
"license:mit",
"region:us",
"has_space"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-ViT-B-16-DataComp.L-s1B-b8K | 0 | 2,042 | open_clip | 2023-04-26T01:37:39 | ---
tags:
- zero-shot-image-classification
- clip
library_name: open_clip
license: mit
---
# Model card for CLIP-ViT-B-16-DataComp.L-s1B-b8K
| 141 | [
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-0.0227203369140625,
-0.004... |
stablediffusionapi/all-526-animated | 2023-04-26T20:32:40.000Z | [
"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/all-526-animated | 2 | 2,042 | diffusers | 2023-04-26T20:30:32 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# All 526 Animated API Inference
## Get ... | 2,437 | [
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-0.0016441345214843... |
Yntec/DucHaiten-Retro-Diffusers | 2023-07-13T13:39:06.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Retro",
"DucHaiten",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/DucHaiten-Retro-Diffusers | 1 | 2,040 | diffusers | 2023-07-13T13:02:56 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Retro
- DucHaiten
---
# DucHaiten Retro
I don't know about you, but in my opinion this is the best retro model DucHaiten has ever created. It's sad... | 586 | [
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0.0012683868... |
Daniil-plotnikov/deepvision | 2023-10-09T14:46:49.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Daniil-plotnikov | null | null | Daniil-plotnikov/deepvision | 2 | 2,038 | diffusers | 2023-10-09T14:11:53 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
language:
- en
---
### DeepVision - good universal model | 132 | [
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kyujinpy/KO-Platypus2-13B | 2023-10-19T13:29:09.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"ko",
"dataset:kyujinpy/KOpen-platypus",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | kyujinpy | null | null | kyujinpy/KO-Platypus2-13B | 5 | 2,037 | transformers | 2023-08-20T12:55:06 | ---
language:
- en
- ko
datasets:
- kyujinpy/KOpen-platypus
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-sa-4.0
---
**(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다**
**The license is `cc-by-nc-sa-4.0`.**
# **Ko-Platypus2-13B**
## Model Details... | 2,531 | [
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0.0034... |
camembert/camembert-base | 2022-06-17T23:06:40.000Z | [
"transformers",
"pytorch",
"camembert",
"fill-mask",
"fr",
"arxiv:1911.03894",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | camembert | null | null | camembert/camembert-base | 5 | 2,035 | transformers | 2022-03-02T23:29:05 | ---
language: fr
---
# CamemBERT: a Tasty French Language Model
## Introduction
[CamemBERT](https://arxiv.org/abs/1911.03894) is a state-of-the-art language model for French based on the RoBERTa model.
It is now available on Hugging Face in 6 different versions with varying number of parameters, amount of pretrain... | 5,209 | [
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0.002222061... |
declare-lab/flan-alpaca-xxl | 2023-07-04T23:45:33.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"dataset:tatsu-lab/alpaca",
"arxiv:2306.04757",
"arxiv:2210.11416",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | declare-lab | null | null | declare-lab/flan-alpaca-xxl | 35 | 2,034 | transformers | 2023-03-28T13:19:10 | ---
license: apache-2.0
datasets:
- tatsu-lab/alpaca
---
## 🍮 🦙 Flan-Alpaca: Instruction Tuning from Humans and Machines
📣 We developed Flacuna by fine-tuning Vicuna-13B on the Flan collection. Flacuna is better than Vicuna at problem-solving. Access the model here https://huggingface.co/declare-lab/flacuna-13b-v1... | 5,408 | [
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komfysach/groow-tokens-2 | 2023-10-31T11:01:22.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | komfysach | null | null | komfysach/groow-tokens-2 | 0 | 2,034 | diffusers | 2023-10-31T10:55:27 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### groow_tokens_2 Dreambooth model trained by komfysach with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Co... | 505 | [
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-0.015350341796875,
-0.0224456787109375,
-0.05157470703125,
-0.025115... |
Helsinki-NLP/opus-tatoeba-en-tr | 2023-08-16T12:09:37.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"tr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-tatoeba-en-tr | 5 | 2,033 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
- tr
tags:
- translation
license: apache-2.0
---
### en-tr
* source group: English
* target group: Turkish
* OPUS readme: [eng-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-tur/README.md)
* model: transformer-align
* source language(s): eng
* target language(s)... | 2,380 | [
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0.017425537109375,
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0.0291748046875... |
microsoft/speecht5_asr | 2023-03-22T20:10:20.000Z | [
"transformers",
"pytorch",
"speecht5",
"automatic-speech-recognition",
"audio",
"dataset:librispeech_asr",
"arxiv:2110.07205",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | microsoft | null | null | microsoft/speecht5_asr | 19 | 2,032 | transformers | 2023-02-02T12:46:15 | ---
license: mit
tags:
- audio
- automatic-speech-recognition
datasets:
- librispeech_asr
---
# SpeechT5 (ASR task)
SpeechT5 model fine-tuned for automatic speech recognition (speech-to-text) on LibriSpeech.
This model was introduced in [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Proces... | 3,981 | [
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google/tapas-base | 2021-11-29T10:03:33.000Z | [
"transformers",
"pytorch",
"tf",
"tapas",
"feature-extraction",
"TapasModel",
"en",
"arxiv:2004.02349",
"arxiv:2010.00571",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | google | null | null | google/tapas-base | 6 | 2,030 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- tapas
- TapasModel
license: apache-2.0
---
# TAPAS base model
This model has 2 versions which can be used. The latest version, which is the default one, corresponds to the `tapas_inter_masklm_base_reset` checkpoint of the [original Github repository](https://github.com/google-research/tapas... | 4,672 | [
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0.0... |
michiyasunaga/BioLinkBERT-large | 2022-03-31T00:54:57.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"exbert",
"linkbert",
"biolinkbert",
"fill-mask",
"question-answering",
"text-classification",
"token-classification",
"en",
"dataset:pubmed",
"arxiv:2203.15827",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | michiyasunaga | null | null | michiyasunaga/BioLinkBERT-large | 23 | 2,029 | transformers | 2022-03-08T06:20:38 | ---
license: apache-2.0
language: en
datasets:
- pubmed
tags:
- bert
- exbert
- linkbert
- biolinkbert
- feature-extraction
- fill-mask
- question-answering
- text-classification
- token-classification
widget:
- text: "Sunitinib is a tyrosine kinase inhibitor"
---
## BioLinkBERT-large
BioLinkBERT... | 3,827 | [
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Helsinki-NLP/opus-mt-tn-en | 2023-08-16T12:07:02.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tn",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-tn-en | 0 | 2,025 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tn-en
* source languages: tn
* target languages: en
* OPUS readme: [tn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tn-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 816 | [
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0.038818359375,
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-0.045684814453125,
0... |
komfysach/groow-tokens-6 | 2023-11-01T08:51:04.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | komfysach | null | null | komfysach/groow-tokens-6 | 0 | 2,025 | diffusers | 2023-11-01T08:47:26 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### groow_tokens_6 Dreambooth model trained by komfysach with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Co... | 505 | [
[
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0.029541015625,
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0.0155792236328125,
-0.016876220703125,
-0.0245361328125,
-0.048187255859375,
-0.01783752441... |
spacy/en_core_web_sm | 2023-10-10T06:49:49.000Z | [
"spacy",
"token-classification",
"en",
"license:mit",
"model-index",
"has_space",
"region:us"
] | token-classification | spacy | null | null | spacy/en_core_web_sm | 26 | 2,022 | spacy | 2022-03-02T23:29:05 | ---
tags:
- spacy
- token-classification
language:
- en
license: mit
model-index:
- name: en_core_web_sm
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8454836771
- name: NER Recall
type: recall
value: 0.8... | 3,648 | [
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0.0180816650390625,
0.03204345703125,
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-0.06109619140625,
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0... |
monologg/koelectra-base-discriminator | 2021-10-20T16:55:57.000Z | [
"transformers",
"pytorch",
"electra",
"pretraining",
"korean",
"ko",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | monologg | null | null | monologg/koelectra-base-discriminator | 1 | 2,020 | transformers | 2022-03-02T23:29:05 | ---
language: ko
license: apache-2.0
tags:
- korean
---
# KoELECTRA (Base Discriminator)
Pretrained ELECTRA Language Model for Korean (`koelectra-base-discriminator`)
For more detail, please see [original repository](https://github.com/monologg/KoELECTRA/blob/master/README_EN.md).
## Usage
### Load model and tok... | 1,764 | [
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0.... |
nielsr/layoutlmv2-finetuned-funsd | 2023-09-11T12:30:41.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"layoutlmv2",
"token-classification",
"generated_from_trainer",
"dataset:funsd",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | nielsr | null | null | nielsr/layoutlmv2-finetuned-funsd | 10 | 2,019 | transformers | 2022-03-02T23:29:05 | ---
tags:
- generated_from_trainer
datasets:
- funsd
model_index:
- name: layoutlmv2-finetuned-funsd
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: funsd
type: funsd
args: funsd
base_model: microsoft/layoutlmv2-base-uncased
---
<!-- This mode... | 1,311 | [
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0.03717041015625,
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... |
entropy/roberta_zinc_480m | 2023-09-18T23:16:49.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"chemistry",
"molecule",
"drug",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | entropy | null | null | entropy/roberta_zinc_480m | 2 | 2,019 | transformers | 2023-02-24T04:22:29 | ---
tags:
- chemistry
- molecule
- drug
---
# Roberta Zinc 480m
This is a Roberta style masked language model trained on ~480m SMILES strings from the [ZINC database](https://zinc.docking.org/).
The model has ~102m parameters and was trained for 150000 iterations with a batch size of 4096 to a validation loss of ~0.... | 1,325 | [
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-0.05133056640625,
0.007469... |
heegyu/koalpaca-355m | 2023-03-28T05:11:50.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"ko",
"dataset:Bingsu/ko_alpaca_data",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | heegyu | null | null | heegyu/koalpaca-355m | 3 | 2,019 | transformers | 2023-03-28T01:28:44 | ---
license: apache-2.0
widget:
- text: <usr>알버트 아인슈타인에 대해서 알아?
<sys>
- text: <usr>다음을 동물, 식물, 광물로 분류하십시오.
참나무, 구리 광석, 코끼리
<sys>
datasets:
- Bingsu/ko_alpaca_data
language:
- ko
---
- [Ajoublue-GPT2-medium](https://huggingface.co/heegyu/ajoublue-gpt2-medium) 모델을 [koalpaca](https:... | 1,682 | [
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0.015838623046875,
0.0240478515625,
-0.0428466796875,
-0.032958984375,
-0.04766845703125,
0.00185... |
Helsinki-NLP/opus-mt-en-mul | 2023-08-16T11:30:35.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ca",
"es",
"os",
"eo",
"ro",
"fy",
"cy",
"is",
"lb",
"su",
"an",
"sq",
"fr",
"ht",
"rm",
"cv",
"ig",
"am",
"eu",
"tr",
"ps",
"af",
"ny",
"ch",
"uk",
"sl",
"lt",
... | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-en-mul | 9 | 2,016 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
- ca
- es
- os
- eo
- ro
- fy
- cy
- is
- lb
- su
- an
- sq
- fr
- ht
- rm
- cv
- ig
- am
- eu
- tr
- ps
- af
- ny
- ch
- uk
- sl
- lt
- tk
- sg
- ar
- lg
- bg
- be
- ka
- gd
- ja
- si
- br
- mh
- km
- th
- ty
- rw
- te
- mk
- or
- wo
- kl
- mr
- ru
- yo
- hu
- fo
- zh
- ti
- co
- ee
- oc
- sn
- mt
... | 24,199 | [
[
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0.... |
Yntec/CartoonStyleClassic | 2023-08-07T13:00:22.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Zovya",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/CartoonStyleClassic | 1 | 2,016 | diffusers | 2023-08-06T08:16:22 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Zovya
---
# Cartoon Style Classic.
Preview and prompt:
![sample](https://cdn-uploads.huggingface.co/production/uploads/63239b8370edc53f51cd5d42/PD... | 789 | [
[
-0.04022216796875,
-0.04718017578125,
0.03338623046875,
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0.0100860595703125,
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0.0460205078125,
0.044281005859375,
-0.057861328125,
-0.0282745361328125,
-0.0170745849609375,
-... |
heegyu/kodialogpt-v1 | 2022-11-22T08:29:51.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | heegyu | null | null | heegyu/kodialogpt-v1 | 1 | 2,014 | transformers | 2022-11-06T00:18:43 | ---
license: cc-by-nc-sa-4.0
widget:
- text: "0: 안녕하세요?\n1: 반갑습니다.\n0: 지금 뭐 하고 계세요?\n1: "
---
[skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2)를 공개된 한국어 대화 데이터셋으로 파인튜닝한 모델입니다.<br/>
- AIHub 주제별대화, 트위터, 감정대화, SNS대화
- 국립국어원 모두의 말뭉치 온라인대화
- 이전에 제가 만든 [kodialogpt-v0](https://huggingface.co/heegyu/kodialogpt)는... | 1,385 | [
[
-0.025360107421875,
-0.0775146484375,
0.0288848876953125,
0.036163330078125,
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0.0023040771484375,
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-0.04974365234375,
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-0.001... |
timm/convnext_base.fb_in22k | 2023-03-31T22:02:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-22k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_base.fb_in22k | 0 | 2,014 | timm | 2022-12-13T07:06:50 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-22k
---
# Model card for convnext_base.fb_in22k
A ConvNeXt image classification model. Pretrained on ImageNet-22k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model S... | 15,601 | [
[
-0.06658935546875,
-0.03314208984375,
-0.003753662109375,
0.038360595703125,
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-0.0128326416015625,
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0.06536865234375,
0.01751708984375,
-0.043670654296875,
-0.041351318359375,
-0.05035400390625,
-0.0... |
m3hrdadfi/bert-fa-base-uncased-wikitriplet-mean-tokens | 2021-05-28T06:02:17.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"fa",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | m3hrdadfi | null | null | m3hrdadfi/bert-fa-base-uncased-wikitriplet-mean-tokens | 1 | 2,013 | transformers | 2022-03-02T23:29:05 | ---
language: fa
license: apache-2.0
---
# ParsBERT + Sentence Transformers
Please follow the [Sentence-Transformer](https://github.com/m3hrdadfi/sentence-transformers) repo for the latest information about previous and current models.
```bibtex
@misc{SentenceTransformerWiki,
author = {Mehrdad Farahani},
title =... | 508 | [
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0... |
timm/davit_base.msft_in1k | 2023-01-27T21:47:54.000Z | [
"timm",
"pytorch",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.03645",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/davit_base.msft_in1k | 2 | 2,012 | timm | 2023-01-27T21:47:23 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for davit_base.msft_in1k
A DaViT image classification model. Trained on ImageNet-1k by paper authors.
Thanks to [Fredo Guan](https://github.com/fffffgggg54) for bringing the classification backbone t... | 4,047 | [
[
-0.0408935546875,
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-0.05078125,
-0.00697326660... |
Hum-Works/lodestone-base-4096-v1 | 2023-10-26T22:00:30.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"mteb",
"custom_code",
"en",
"dataset:s2orc",
"dataset:flax-sentence-embeddings/stackexchange_title_body_jsonl",
"dataset:flax-sentence-embeddings/stackexchange_titlebody_best_voted_answer_jsonl",
"dataset... | sentence-similarity | Hum-Works | null | null | Hum-Works/lodestone-base-4096-v1 | 9 | 2,009 | sentence-transformers | 2023-08-25T16:33:26 | ---
license: apache-2.0
pipeline_tag: sentence-similarity
inference: false
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
language: en
datasets:
- s2orc
- flax-sentence-embeddings/stackexchange_title_body_jsonl
- flax-sentence-embeddings/stackexchange_titlebody_best_voted_answer_jsonl
-... | 79,945 | [
[
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0.0293731689453125,
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-0.0457763671875,
-0.0538330078125,
0.01158142089843... |
ai-forever/ruBert-large | 2023-11-03T12:50:30.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"PyTorch",
"Transformers",
"exbert",
"ru",
"arxiv:2309.10931",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | ai-forever | null | null | ai-forever/ruBert-large | 7 | 2,007 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- PyTorch
- Transformers
- bert
- exbert
thumbnail: "https://github.com/sberbank-ai/model-zoo"
pipeline_tag: fill-mask
---
# ruBert-large
The model architecture design, pretraining, and evaluation are documented in our preprint: [**A Family of Pretrained Transformer Language Models for Russian*... | 1,170 | [
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-0.006... |
aubmindlab/bert-base-arabertv01 | 2023-06-09T12:24:20.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"ar",
"dataset:wikipedia",
"dataset:OSIAN",
"dataset:1.5B_Arabic_Corpus",
"arxiv:2003.00104",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | aubmindlab | null | null | aubmindlab/bert-base-arabertv01 | 1 | 2,006 | transformers | 2022-03-02T23:29:05 | ---
language: ar
datasets:
- wikipedia
- OSIAN
- 1.5B_Arabic_Corpus
widget:
- text: " عاصمة لبنان هي [MASK] ."
---
# !!! A newer version of this model is available !!! [AraBERTv02](https://huggingface.co/aubmindlab/bert-base-arabertv02)
# AraBERT v1 & v2 : Pre-training BERT for Arabic Language Understanding
<im... | 8,306 | [
[
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0.... |
harshit345/xlsr-wav2vec-speech-emotion-recognition | 2021-12-12T20:53:33.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"audio",
"audio-classification",
"speech",
"en",
"dataset:aesdd",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | harshit345 | null | null | harshit345/xlsr-wav2vec-speech-emotion-recognition | 52 | 2,005 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- aesdd
tags:
- audio
- audio-classification
- speech
license: apache-2.0
---
~~~
# requirement packages
!pip install git+https://github.com/huggingface/datasets.git
!pip install git+https://github.com/huggingface/transformers.git
!pip install torchaudio
!pip install librosa
~~~
# prediction... | 2,786 | [
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0.0269622802734375,
0.01068115234375,
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... |
timm/efficientnet_lite0.ra_in1k | 2023-04-27T21:12:19.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_lite0.ra_in1k | 0 | 2,004 | timm | 2022-12-12T23:58:23 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_lite0.ra_in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Ins... | 4,721 | [
[
-0.02685546875,
-0.0369873046875,
-0.00585174560546875,
0.0008687973022460938,
-0.01544189453125,
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-0.0250091552734375,
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0.0229949951171875,
0.031707763671875,
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-0.04083251953125,
-0.0513916015625,
-0.00... |
timm/mobilenetv2_120d.ra_in1k | 2023-04-27T21:14:23.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1801.04381",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mobilenetv2_120d.ra_in1k | 0 | 2,003 | timm | 2022-12-13T00:00:42 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mobilenetv2_120d.ra_in1k
A MobileNet-v2 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Inspired b... | 4,754 | [
[
-0.0275421142578125,
-0.0230255126953125,
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0.035736083984375,
-0.03167724609375,
-0.04241943359375,
-0.04663085937... |
01-ai/Yi-6B | 2023-11-06T14:40:13.000Z | [
"transformers",
"pytorch",
"safetensors",
"Yi",
"text-generation",
"custom_code",
"license:other",
"region:us"
] | text-generation | 01-ai | null | null | 01-ai/Yi-6B | 176 | 2,002 | transformers | 2023-11-01T11:14:36 | ---
license: other
license_name: yi-license
license_link: LICENSE
---
<div align="center">
<img src="./Yi.svg" width="200px">
</div>
## Introduction
The **Yi** series models are large language models trained from scratch by
developers at [01.AI](https://01.ai/). The first public release contains two
bilingual(Engli... | 5,823 | [
[
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-0.045318603515625,
-0.04595947265625,
... |
rinna/japanese-gpt2-xsmall | 2023-06-06T02:42:01.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"gpt2",
"text-generation",
"ja",
"japanese",
"lm",
"nlp",
"dataset:cc100",
"dataset:wikipedia",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/japanese-gpt2-xsmall | 12 | 2,000 | transformers | 2022-03-02T23:29:05 | ---
language: ja
thumbnail: https://github.com/rinnakk/japanese-gpt2/blob/master/rinna.png
tags:
- ja
- japanese
- gpt2
- text-generation
- lm
- nlp
license: mit
datasets:
- cc100
- wikipedia
widget:
- text: "生命、宇宙、そして万物についての究極の疑問の答えは"
---
# japanese-gpt2-xsmall
This repository provides an... | 1,588 | [
[
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0.032012939453125,
-0.045684814453125,
-0.01239013671875,
-0.0452575683593... |
maywell/Synatra-11B-Testbench-2 | 2023-10-16T01:21:09.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | maywell | null | null | maywell/Synatra-11B-Testbench-2 | 0 | 2,000 | transformers | 2023-10-15T23:42:55 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
# **Synatra-11B-Testbench-2**
Made by StableFluffy
**Contact (Do not Contact for personal things.)**
Discord : is.maywell
Telegram : AlzarTakkarsen
## License
This model is strictly [*non-commercial*](https://... | 1,118 | [
[
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agonh/sdxl | 2023-10-02T05:08:21.000Z | [
"diffusers",
"onnx",
"safetensors",
"openvino",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | agonh | null | null | agonh/sdxl | 3 | 1,999 | diffusers | 2023-10-02T04:25:16 | ---
license: openrail++
base_model: diffusers/stable-diffusion-xl-base-1.0
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- stable-diffusion
- text-to-image
- diffusers
inference: true
language:
- en
---
# SDXL-BASE
- Model creator: [FFusion](https://huggingface.co/FFusion)
- Original model: [FFusionXL-B... | 498 | [
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NoCrypt/SomethingV2 | 2023-04-25T13:32:01.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"safetensors",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | NoCrypt | null | null | NoCrypt/SomethingV2 | 91 | 1,996 | diffusers | 2023-02-18T16:59:05 | ---
license: creativeml-openrail-m
thumbnail: >-
https://huggingface.co/NoCrypt/SomethingV2/resolve/main/imgs/00031-1769428138-masterpiece%2C%20best%20quality%2C%20hatsune%20miku%2C%201girl%2C%20white%20shirt%2C%20blue%20necktie%2C%20bare%20shoulders%2C%20very%20detailed%20background%2C%20hands%20on%20ow.png
tags:
- ... | 6,948 | [
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0.0093307... |
badmonk/aoikax | 2023-07-21T06:42:29.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | badmonk | null | null | badmonk/aoikax | 1 | 1,995 | diffusers | 2023-07-16T08:54:14 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
# Model Card for AOIKAX
## Model Description
- **Developed by:** BADMONK
- **Model type:** Dreambooth Model + Extracted LoRA
- **Language(s) (NLP):** EN
- **License:** Creativeml-Openrail-M
- **Parent Model:** aznchikmajic... | 433 | [
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-0.018524169921875,
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timm/convnext_tiny.in12k_ft_in1k_384 | 2023-03-31T22:39:35.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_tiny.in12k_ft_in1k_384 | 0 | 1,994 | timm | 2023-01-18T20:12:06 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for convnext_tiny.in12k_ft_in1k_384
A ConvNeXt image classification model. Pretrained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) and fine-tuned on ImageNet-1k... | 15,985 | [
[
-0.06732177734375,
-0.03271484375,
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0.03399658203125,
-0.0318603515625,
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-0.013092041015625,
-0.0364990234375,
0.063232421875,
0.0166473388671875,
-0.044403076171875,
-0.04132080078125,
-0.051239013671875,
-0.00303459167... |
timm/maxxvit_rmlp_nano_rw_256.sw_in1k | 2023-05-11T00:45:50.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"arxiv:2201.03545",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxxvit_rmlp_nano_rw_256.sw_in1k | 0 | 1,993 | timm | 2023-01-20T21:36:34 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxxvit_rmlp_nano_rw_256.sw_in1k
A timm specific MaxxViT (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model. Trained in `timm` on... | 22,383 | [
[
-0.052947998046875,
-0.03173828125,
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0.0501708984375,
0.0164031982421875,
-0.042083740234375,
-0.04736328125,
-0.04681396484375,
-0.... |
Yntec/Trending | 2023-10-15T10:17:02.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Ciro_Negrogni",
"MagicArt35",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Trending | 2 | 1,993 | diffusers | 2023-09-17T03:50:21 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Ciro_Negrogni
- MagicArt35
---
# Trending
AmovieX by MagicArt35 with the Photographic Trend LoRA by Ciro_Negrogni baked in. Third version of three... | 1,654 | [
[
-0.019927978515625,
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0.00927734375,
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0.038482666015625,
-0.0589599609375,
-0.049957275390625,
-0.04132080078125,
-0.0211639404296... |
malteos/PubMedNCL | 2023-10-12T09:52:20.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"en",
"arxiv:2202.06671",
"arxiv:2007.15779",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | malteos | null | null | malteos/PubMedNCL | 2 | 1,989 | transformers | 2023-04-15T07:56:21 | ---
license: mit
tags:
- feature-extraction
language: en
---
# PubMedNCL
A pretrained language model for document representations of biomedical papers.
PubMedNCL is based on [PubMedBERT](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext), which is a BERT model pretrained on abstrac... | 1,745 | [
[
-0.0018110275268554688,
-0.03277587890625,
0.04656982421875,
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-0.037109375,
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0.02130126953125,
0.01387786865234375,
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-0.051971435546875,
-0.0618896484375,
0.022... |
espnet/kan-bayashi_ljspeech_vits | 2021-10-23T20:27:43.000Z | [
"espnet",
"audio",
"text-to-speech",
"en",
"dataset:ljspeech",
"arxiv:1804.00015",
"license:cc-by-4.0",
"has_space",
"region:us"
] | text-to-speech | espnet | null | null | espnet/kan-bayashi_ljspeech_vits | 170 | 1,988 | espnet | 2022-03-02T23:29:05 | ---
tags:
- espnet
- audio
- text-to-speech
language: en
datasets:
- ljspeech
license: cc-by-4.0
---
## ESPnet2 TTS pretrained model
### `kan-bayashi/ljspeech_vits`
♻️ Imported from https://zenodo.org/record/5443814/
This model was trained by kan-bayashi using ljspeech/tts1 recipe in [espnet](https://github.com/espne... | 1,901 | [
[
-0.0291290283203125,
-0.03448486328125,
0.00437164306640625,
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0.0164794921875,
0.00891876220703125,
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-0.032196044921875,
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... |
badmonk/egross | 2023-07-13T02:22:49.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | badmonk | null | null | badmonk/egross | 1 | 1,987 | diffusers | 2023-07-12T03:46:47 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
# Model Card for EGROSS
## Model Description
- **Developed by:** BADMONK
- **Model type:** Dreambooth Model + Extracted LoRA
- **Language(s) (NLP):** EN
- **License:** Creativeml-Openrail-M
- **Parent Model:** beensad
# H... | 419 | [
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0.0322265625,
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-0.05194091796875,
-0.040435791015625,
-0.03161621... |
timm/densenet169.tv_in1k | 2023-04-21T22:54:43.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1608.06993",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/densenet169.tv_in1k | 0 | 1,986 | timm | 2023-04-21T22:54:20 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for densenet169.tv_in1k
A DenseNet image classification model. Trained on ImageNet-1k (original torchvision weights).
## Model Details
- **Model Type:** Image classification / feature backbone
- **M... | 3,500 | [
[
-0.0350341796875,
-0.03729248046875,
-0.0009918212890625,
0.0113372802734375,
-0.0285491943359375,
-0.0318603515625,
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0.0221710205078125,
0.040374755859375,
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-0.0489501953125,
-0.054168701171875,
-0.... |
Qwen/Qwen-VL | 2023-10-31T12:45:43.000Z | [
"transformers",
"pytorch",
"qwen",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2308.12966",
"has_space",
"region:us"
] | text-generation | Qwen | null | null | Qwen/Qwen-VL | 54 | 1,984 | transformers | 2023-08-18T02:20:59 | ---
language:
- zh
- en
tags:
- qwen
pipeline_tag: text-generation
inference: false
---
# Qwen-VL
<br>
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_vl.jpg" width="400"/>
<p>
<br>
<p align="center">
Qwen-VL <a href="https://modelscope.cn/models/qwen/Qwen-VL/summary">�... | 18,726 | [
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-0.0345458984375,
0.0150909423828125,
0.00739288330078125,
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0.0273590087890625,
-0.05487060546875,
-0.046875,
-0.029083251953125,
0.002872467041... |
segmind/tiny-sd | 2023-08-08T07:35:32.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dataset:recastai/LAION-art-EN-improved-captions",
"arxiv:2305.15798",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | segmind | null | null | segmind/tiny-sd | 33 | 1,980 | diffusers | 2023-07-27T18:21:36 |
---
license: creativeml-openrail-m
base_model: SG161222/Realistic_Vision_V4.0
datasets:
- recastai/LAION-art-EN-improved-captions
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Text-to-image Distillation
This pipeline was distilled from **SG161222/Realisti... | 1,512 | [
[
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-0.033111572265625,
0.04571533203125,
-0.00930023193359375,
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-0.006626129150390625,
-0.004055023193359375,
-0.0019702911376953125,
0.033538818359375,
-0.039703369140625,
-0.0313720703125,
-0.0591430664... |
Luciano/xlm-roberta-large-finetuned-lener-br | 2023-09-12T03:16:53.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"pt",
"dataset:lener_br",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Luciano | null | null | Luciano/xlm-roberta-large-finetuned-lener-br | 1 | 1,978 | transformers | 2022-10-15T14:26:45 | ---
language:
- pt
license: mit
tags:
- generated_from_trainer
datasets:
- lener_br
metrics:
- precision
- recall
- f1
- accuracy
base_model: xlm-roberta-large
model-index:
- name: xlm-roberta-large-finetuned-lener-br
results:
- task:
type: token-classification
name: Token Classification
dataset:
... | 3,418 | [
[
-0.04156494140625,
-0.049041748046875,
0.0162353515625,
0.00699615478515625,
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0.035400390625,
0.028289794921875,
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-0.054595947265625,
-0.056243896484375,
... |
neuraly/bert-base-italian-cased-sentiment | 2021-09-22T09:29:18.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"sentiment",
"Italian",
"it",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | neuraly | null | null | neuraly/bert-base-italian-cased-sentiment | 7 | 1,977 | transformers | 2022-03-02T23:29:05 | ---
language: it
thumbnail: https://neuraly.ai/static/assets/images/huggingface/thumbnail.png
tags:
- sentiment
- Italian
license: mit
widget:
- text: Huggingface è un team fantastico!
---
# 🤗 + neuraly - Italian BERT Sentiment model
## Model description
This model performs sentiment analysis on Italian sente... | 3,691 | [
[
-0.019927978515625,
-0.0645751953125,
0.0158233642578125,
0.034027099609375,
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-0.0278167724609375,
-0.03369140625,
0.0369873046875,
-0.000003337860107421875,
-0.047210693359375,
-0.05621337890625,
-0.0469970703125,
-... |
timm/convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384 | 2023-03-31T21:59:42.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:laion-2b",
"arxiv:2210.08402",
"arxiv:2201.03545",
"arxiv:2103.00020",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384 | 3 | 1,976 | timm | 2023-03-31T21:58:31 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- laion-2b
---
# Model card for convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384
A ConvNeXt image classification model. CLIP image tower weights pretrained in [OpenCLIP](https://github.com/mlfoundations/open_clip) ... | 18,566 | [
[
-0.060302734375,
-0.035888671875,
-0.002239227294921875,
0.034942626953125,
-0.031494140625,
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-0.01480865478515625,
-0.033843994140625,
0.05731201171875,
0.020538330078125,
-0.042999267578125,
-0.0450439453125,
-0.0535888671875,
-0.003265... |
sentence-transformers/distiluse-base-multilingual-cased | 2022-06-21T14:55:22.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"rust",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"multilingual",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/distiluse-base-multilingual-cased | 9 | 1,974 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
language: multilingual
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/distiluse-base-multilingual-cased
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & par... | 2,369 | [
[
-0.0186004638671875,
-0.061737060546875,
0.0277099609375,
0.034210205078125,
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-0.02130126953125,
0.0100555419921875,
0.0158233642578125,
0.02703857421875,
-0.0411376953125,
-0.039581298828125,
-0.04840087890625,
0.015464782... |
Yntec/BasilRemix | 2023-09-09T14:08:34.000Z | [
"diffusers",
"Anime",
"3D",
"Illustration",
"nuigurumi",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/BasilRemix | 0 | 1,973 | diffusers | 2023-09-08T02:14:20 | ---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- 3D
- Illustration
- nuigurumi
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# Basil Remix
BasilMix mixed with ReVAnimated v11 to bring its compositions back to life! It has the Mois... | 1,130 | [
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WizardLM/WizardCoder-Python-13B-V1.0 | 2023-09-09T06:43:58.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"arxiv:2303.08774",
"license:llama2",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | WizardLM | null | null | WizardLM/WizardCoder-Python-13B-V1.0 | 76 | 1,968 | transformers | 2023-08-26T04:59:34 | ---
license: llama2
metrics:
- code_eval
library_name: transformers
tags:
- code
model-index:
- name: WizardCoder-Python-13B-V1.0
results:
- task:
type: text-generation
dataset:
type: openai_humaneval
name: HumanEval
metrics:
- name: pass@1
type: pass@1
value: 0.64
ve... | 9,365 | [
[
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-0.03607177734375,
0.015838623046875,
0.021209716796875,
-0.048858642578125,
-0.0469970703125,
-0.03863525390625,
... |
microsoft/BiomedVLP-CXR-BERT-general | 2022-07-11T14:52:52.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"exbert",
"en",
"arxiv:2204.09817",
"arxiv:2103.00020",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | microsoft | null | null | microsoft/BiomedVLP-CXR-BERT-general | 22 | 1,965 | transformers | 2022-05-05T22:10:13 | ---
language: en
tags:
- exbert
license: mit
widget:
- text: "Left pleural effusion with adjacent [MASK]."
example_title: "Radiology 1"
- text: "Heart size normal and lungs are [MASK]."
example_title: "Radiology 2"
- text: "[MASK] is a tumor suppressor gene."
example_title: "Biomedical"
- text: "The patient was o... | 8,183 | [
[
-0.02545166015625,
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0.038482666015625,
-0.0007028579711914062,
-0.0290374755859375,
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-0.0113067626953125,
-0.0498046875,
0.003681182861328125,
0.0274810791015625,
-0.0251007080078125,
-0.052886962890625,
-0.05999755859375... |
Helsinki-NLP/opus-mt-en-da | 2023-08-16T11:29:20.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"da",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-en-da | 4 | 1,964 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-da
* source languages: en
* target languages: da
* OPUS readme: [en-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-da/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
[
-0.0211181640625,
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-0.0305328369140625,
-0.006378173828125,
0.00494384765625,
0.0323486328125,
-0.049591064453125,
-0.043121337890625,
-0.047454833984375,
0.01969909667968... |
maywell/Synatra-11B-Testbench | 2023-10-15T12:34:51.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | maywell | null | null | maywell/Synatra-11B-Testbench | 1 | 1,964 | transformers | 2023-10-15T11:27:17 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
# **Synatra-11B-Testbench**
Made by StableFluffy
**Contact (Do not Contact for personal things.)**
Discord : is.maywell
Telegram : AlzarTakkarsen
## License
This model is strictly [*non-commercial*](https://cr... | 1,116 | [
[
-0.03289794921875,
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0.029052734375,
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-0.041046142578125,
-0.0029869079... |
deepset/gbert-base-germandpr-ctx_encoder | 2021-10-21T12:17:10.000Z | [
"transformers",
"pytorch",
"dpr",
"exbert",
"de",
"dataset:deepset/germandpr",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | deepset | null | null | deepset/gbert-base-germandpr-ctx_encoder | 7 | 1,963 | transformers | 2022-03-02T23:29:05 | ---
language: de
datasets:
- deepset/germandpr
license: mit
thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
tags:
- exbert
---
... | 4,001 | [
[
-0.03619384765625,
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0.0250091552734375,
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-0.03399658203125,
-0.0261688232421875,
-0.00737762451171875,
0.0255584716796875,
-0.0284576416015625,
-0.04632568359375,
-0.030075073242187... |
vitouphy/wav2vec2-xls-r-300m-timit-phoneme | 2023-05-13T17:04:31.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"en",
"generated_from_trainer",
"doi:10.57967/hf/0125",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | vitouphy | null | null | vitouphy/wav2vec2-xls-r-300m-timit-phoneme | 8 | 1,963 | transformers | 2022-05-08T06:41:55 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- pytorch
- transformers
- en
- generated_from_trainer
model-index:
- name: wav2vec2-xls-r-300m-phoneme
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: DARPA TIMIT
type... | 3,444 | [
[
-0.0215911865234375,
-0.043426513671875,
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0.0164031982421875,
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0.01346588134765625,
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-0.048797607421875,
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-... |
heegyu/AULM-5.8b-v0804-hf | 2023-08-07T12:41:55.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"polyglot-ko-5.8b",
"ko",
"dataset:changpt/ko-lima-vicuna",
"dataset:HAERAE-HUB/KoInstruct-QA",
"dataset:nlpai-lab/kullm-v2",
"dataset:heegyu/korquad-chat-v1",
"dataset:KETI-AIR/kowow",
"dataset:NomaDamas/Ko-StrategyQA",
"license:apac... | text-generation | heegyu | null | null | heegyu/AULM-5.8b-v0804-hf | 2 | 1,963 | transformers | 2023-08-07T11:21:14 | ---
license: apache-2.0
language:
- ko
datasets:
- changpt/ko-lima-vicuna
- HAERAE-HUB/KoInstruct-QA
- nlpai-lab/kullm-v2
- heegyu/korquad-chat-v1
- KETI-AIR/kowow
- NomaDamas/Ko-StrategyQA
tags:
- polyglot-ko-5.8b
---
[EleutherAI/polyglot-ko-5.8b](https://huggingface.co/EleutherAI/polyglot-ko-5.8b)를 공개 한국어 instructio... | 3,253 | [
[
-0.04827880859375,
-0.04278564453125,
0.018707275390625,
0.02105712890625,
-0.027191162109375,
0.01093292236328125,
0.0250396728515625,
-0.02587890625,
0.054718017578125,
0.023956298828125,
-0.021942138671875,
-0.027801513671875,
-0.0487060546875,
0.00789642... |
CiaraRowles/TemporalNet2 | 2023-06-17T23:21:50.000Z | [
"diffusers",
"controlnet",
"stable-diffusion",
"license:openrail",
"diffusers:ControlNetModel",
"region:us"
] | null | CiaraRowles | null | null | CiaraRowles/TemporalNet2 | 101 | 1,962 | diffusers | 2023-06-07T21:23:21 | ---
license: openrail
tags:
- controlnet
- stable-diffusion
- diffusers
base_model: runwayml/stable-diffusion-v1-5
---
Introducing TemporalNet2
TemporalNet was a ControlNet model designed to enhance the temporal consistency of generated outputs
TemporalNet 2 is an evolution on the concept, where the generated outputs... | 2,300 | [
[
-0.03277587890625,
-0.036041259765625,
0.0110015869140625,
0.023193359375,
-0.01256561279296875,
-0.006816864013671875,
0.0125579833984375,
-0.0294952392578125,
0.0182647705078125,
0.020233154296875,
-0.051727294921875,
-0.00525665283203125,
-0.056488037109375,
... |
ramy21/braintumormodel5 | 2023-10-07T12:42:42.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ramy21 | null | null | ramy21/braintumormodel5 | 1 | 1,961 | diffusers | 2023-10-07T12:37:20 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### braintumormodel5 Dreambooth model trained by ramy21 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Col... | 504 | [
[
-0.0262603759765625,
-0.048309326171875,
0.04901123046875,
0.0357666015625,
-0.012969970703125,
0.0146026611328125,
0.0191497802734375,
-0.0178070068359375,
0.035858154296875,
0.015777587890625,
-0.020721435546875,
-0.0253143310546875,
-0.045379638671875,
-0... |
ItsJayQz/Firewatch_Diffusion | 2023-01-28T01:05:08.000Z | [
"diffusers",
"safetensors",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ItsJayQz | null | null | ItsJayQz/Firewatch_Diffusion | 21 | 1,958 | diffusers | 2022-12-08T03:41:05 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
- diffusers
inference: true
---
### Firewatch Diffusion
This model was trained on in-game footages, and some game posters by Olly Moss.
The model can make good looking nature sceneries similar to the game art style, with some o... | 2,611 | [
[
-0.0211639404296875,
-0.05377197265625,
0.0452880859375,
0.032440185546875,
-0.0207977294921875,
-0.0119171142578125,
0.032745361328125,
-0.044586181640625,
0.015106201171875,
0.0489501953125,
-0.06378173828125,
-0.0277252197265625,
-0.0294952392578125,
-0.0... |
Yntec/MeinaAlter | 2023-10-25T13:00:15.000Z | [
"diffusers",
"Anime",
"Landscapes",
"Female",
"Meina",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Yntec | null | null | Yntec/MeinaAlter | 1 | 1,958 | diffusers | 2023-10-25T11:36:37 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Landscapes
- Female
- Meina
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Meina Alter
Original model page: https://civitai.com/models/20945?modelVersionId=24933
Sample and prompt... | 741 | [
[
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0.0272369384765625,
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0.0255126953125,
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0.053375244140625,
-0.07427978515625,
-0.0287017822265625,
-0.042816162109375,
0.0007... |
heegyu/42dot_LLM-PLM-1.3B-mt | 2023-10-19T04:40:58.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | heegyu | null | null | heegyu/42dot_LLM-PLM-1.3B-mt | 0 | 1,952 | transformers | 2023-10-03T00:13:19 | # WIP
- 아직 작업중입니다.. 모델에 문제가 좀 있음 ㅠ
original model: [42dot/42dot_LLM-PLM-1.3B](https://huggingface.co/42dot/42dot_LLM-PLM-1.3B)
## 사용 예시
```
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_id = "heegyu/42dot_LLM-PLM-1.3B-mt"
model = AutoModelForCausalLM.from_pretrained(model_id).eval().... | 3,493 | [
[
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0.0245361328125,
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0.0031604766845703125,
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0.03240966796875,
-0.069091796875,
-0.029937744140625,
-0.0367431640625,
-0.0064353... |
moussaKam/AraBART | 2022-05-05T13:17:29.000Z | [
"transformers",
"pytorch",
"mbart",
"feature-extraction",
"summarization",
"bart",
"fill-mask",
"ar",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | moussaKam | null | null | moussaKam/AraBART | 10 | 1,950 | transformers | 2022-03-09T10:05:16 | ---
tags:
- summarization
- bart
language:
- ar
widget:
- text: بيروت هي عاصمة <mask>.
license: apache-2.0
pipeline_tag: "fill-mask"
---
AraBART is the first Arabic model in which the encoder and the decoder are pretrained end-to-end, based on BART. AraBART follows the architecture of BART-Base
which has 6 encoder ... | 613 | [
[
-0.06243896484375,
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0.0202178955078125,
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0.0199432373046875,
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-0.056915283203125,
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0.007583... |
Muennighoff/SGPT-5.8B-weightedmean-msmarco-specb-bitfit | 2023-03-27T22:26:36.000Z | [
"sentence-transformers",
"pytorch",
"gptj",
"feature-extraction",
"sentence-similarity",
"mteb",
"arxiv:2202.08904",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | Muennighoff | null | null | Muennighoff/SGPT-5.8B-weightedmean-msmarco-specb-bitfit | 19 | 1,948 | sentence-transformers | 2022-03-02T23:29:04 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
model-index:
- name: SGPT-5.8B-weightedmean-msmarco-specb-bitfit
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactual... | 65,461 | [
[
-0.020416259765625,
-0.0389404296875,
0.0302276611328125,
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-0.050506591796875,
-0.026763916015625,
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... |
livingbox/model-test-oct-23-v3 | 2023-10-30T08:24:27.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | livingbox | null | null | livingbox/model-test-oct-23-v3 | 0 | 1,948 | diffusers | 2023-10-30T08:19:08 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Model-test-oct-23-v3 Dreambooth model trained by livingbox with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1... | 511 | [
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hivemind/gpt-j-6B-8bit | 2022-10-18T11:49:06.000Z | [
"transformers",
"pytorch",
"gptj",
"text-generation",
"causal-lm",
"en",
"dataset:The Pile",
"arxiv:2106.09685",
"arxiv:2110.02861",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | hivemind | null | null | hivemind/gpt-j-6B-8bit | 127 | 1,947 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- pytorch
- causal-lm
license: apache-2.0
datasets:
- The Pile
---
Note: this model was superceded by the [`load_in_8bit=True` feature in transformers](https://github.com/huggingface/transformers/pull/17901)
by Younes Belkada and Tim Dettmers. Please see [this usage example](https://colab.res... | 4,813 | [
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0.0180511474609375,
-0.022125244140625,
-0.0003669261932373047,
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raynardj/ner-disease-ncbi-bionlp-bc5cdr-pubmed | 2021-11-05T07:33:08.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"ner",
"ncbi",
"disease",
"pubmed",
"bioinfomatics",
"en",
"dataset:ncbi-disease",
"dataset:bc5cdr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | raynardj | null | null | raynardj/ner-disease-ncbi-bionlp-bc5cdr-pubmed | 7 | 1,943 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- ner
- ncbi
- disease
- pubmed
- bioinfomatics
license: apache-2.0
datasets:
- ncbi-disease
- bc5cdr
widget:
- text: "Hepatocyte nuclear factor 4 alpha (HNF4α) is regulated by different promoters to generate two isoforms, one of which functions as a tumor suppressor. Here, the authors reveal t... | 2,857 | [
[
-0.01172637939453125,
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0.04150390625,
0.042938232421875,
-0.0243377685546875,
-0.0672607421875,
-0.0606994628906... |
jayavibhav/anime-dreamlike | 2023-06-25T15:36:35.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | jayavibhav | null | null | jayavibhav/anime-dreamlike | 3 | 1,941 | diffusers | 2023-06-25T15:16:40 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
anime diffusion model
| 103 | [
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0.040313720703125,
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-0.027099609375,
-0.046783447265625,
-0.03... |
Yntec/OpenNijiRemix | 2023-10-03T18:17:16.000Z | [
"diffusers",
"Anime",
"Art",
"Open",
"OpenNiji",
"Stable Diffusion",
"Niji",
"Nijijourney",
"Stylised",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"dataset:Korakoe/NijiJourney-Prompt-Pairs",
"dataset:Korakoe/OpenNiji-V2-Dataset",
"license:creativeml-openra... | text-to-image | Yntec | null | null | Yntec/OpenNijiRemix | 1 | 1,940 | diffusers | 2023-08-15T06:12:44 | ---
thumbnail: https://cdn-uploads.huggingface.co/production/uploads/63239b8370edc53f51cd5d42/4a5maYV74Z-CaWxFfdsGg.png
license: creativeml-openrail-m
datasets:
- Korakoe/NijiJourney-Prompt-Pairs
- Korakoe/OpenNiji-V2-Dataset
language:
- en
tags:
- Anime
- Art
- Open
- OpenNiji
- Stable Diffusion
- Niji
- Nijijourney
-... | 1,255 | [
[
-0.0247955322265625,
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0.06787109375,
0.0855712890625,
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... |
NeverSleep/Echidna-13b-v0.3 | 2023-11-01T03:21:25.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | NeverSleep | null | null | NeverSleep/Echidna-13b-v0.3 | 12 | 1,940 | transformers | 2023-10-27T19:58:28 | ---
license: cc-by-nc-4.0
---
# This model is a collab between [IkariDev](https://huggingface.co/IkariDev) and [Undi](https://huggingface.co/Undi95)!
Echidna v0.3 model. Use Alpaca format. Suitable ... | 2,613 | [
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-0.036285400390625,
-0.04583740234375,
0.017593383789062... |
Hemanthraju/my-lion | 2023-11-03T09:59:38.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Hemanthraju | null | null | Hemanthraju/my-lion | 0 | 1,940 | diffusers | 2023-11-03T09:55:21 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-lion- Dreambooth model trained by Hemanthraju following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: CVR-135
Sample pictures of this concept:
![0](https://huggin... | 674 | [
[
-0.06036376953125,
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0.032379150390625,
-0.048675537109375,
-0.01824951171875,
-0.0266265869140625,
-0.0019... |
albert-xlarge-v1 | 2023-08-11T07:30:41.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | null | null | albert-xlarge-v1 | 0 | 1,939 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT XLarge v1
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-re... | 9,765 | [
[
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0... |
harshupanchal/my-pet-lion | 2023-10-07T10:15:10.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | harshupanchal | null | null | harshupanchal/my-pet-lion | 0 | 1,939 | diffusers | 2023-10-07T10:08:32 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-lion Dreambooth model trained by harshupanchal following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: SAGE-289
Sample pictures of this concept:
![0](https://huggingfa... | 400 | [
[
-0.054962158203125,
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0.05419921875,
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-0.052276611328125,
-0.006099700927734375,
-0.011039733886718... |
timm/coatnet_2_rw_224.sw_in12k_ft_in1k | 2023-05-10T23:44:00.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"license:apache-2.0",
"has_space",
"region:us"
] | image-classification | timm | null | null | timm/coatnet_2_rw_224.sw_in12k_ft_in1k | 0 | 1,937 | timm | 2023-01-20T21:25:18 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for coatnet_2_rw_224.sw_in12k_ft_in1k
A timm specific CoAtNet image classification model. Pretrained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) and fine-tune... | 22,396 | [
[
-0.0511474609375,
-0.032196044921875,
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-0.01111602783203125,
-0.0281829833984375,
0.052825927734375,
0.015899658203125,
-0.043121337890625,
-0.0455322265625,
-0.049530029296875,
... |
bluenguyen/longformer-phobert-base-4096 | 2023-01-11T06:50:59.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"longformer",
"long context",
"vi",
"arxiv:2004.05150",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | bluenguyen | null | null | bluenguyen/longformer-phobert-base-4096 | 1 | 1,936 | transformers | 2022-12-21T01:47:35 | ---
language: vi
widget:
- text: "Hoàng_Sa và Trường_Sa là <mask> Việt_Nam ."
tags:
- roberta
- longformer
- long context
pipeline_tag: fill-mask
---
# Longformer Phobert base model with max input length of 4096
**Experiment performed with Transformers version 4.25.1**\
A Longformer roberta model for long context base... | 3,789 | [
[
-0.017486572265625,
-0.0577392578125,
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0.029449462890625,
-0.0291290283203125,
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-0.0380859375,
-0.0258026123046875,
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0.0311431884765625,
-0.038818359375,
-0.039154052734375,
-0.05242919921875,
0.01145... |
Gustavosta/MagicPrompt-Dalle | 2023-03-17T21:38:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Gustavosta | null | null | Gustavosta/MagicPrompt-Dalle | 35 | 1,934 | transformers | 2022-09-18T03:47:03 | ---
license: mit
---
# MagicPrompt - Dall-E 2
This is a model from the MagicPrompt series of models, which are [GPT-2](https://huggingface.co/gpt2) models intended to generate prompt texts for imaging AIs, in this case: [Dall-E 2](https://openai.com/dall-e-2/).
## 🖼️ Here's an example:
<img src="https://files.catb... | 1,704 | [
[
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0.0039825439453125,
0.0362548828125,
-0.05975341796875,
-0.03369140625,
-0.050750732421875,
0.00619506... |
artificialguybr/LineAniRedmond-LinearMangaSDXL-V2 | 2023-10-07T04:14:25.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/LineAniRedmond-LinearMangaSDXL-V2 | 1 | 1,927 | diffusers | 2023-10-07T04:12:13 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: LineAniAF, lineart
widget:
- text: LineAniAF, lineart
---
# LineAni.Redmond V2
LineAni.Redmond V2 is here!
Test all my l... | 1,170 | [
[
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0.0118408203125,
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-0.02679443359375,
-0.0189971923828125,
-0.0106353759... |
komfysach/groow-new | 2023-10-31T08:33:48.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | komfysach | null | null | komfysach/groow-new | 1 | 1,925 | diffusers | 2023-10-31T08:29:41 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### groow_new Dreambooth model trained by komfysach with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [... | 500 | [
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0.025299072265625,
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0.0176544189453125,
-0.0195770263671875,
-0.023101806640625,
-0.048858642578125,
-0.0234... |
timm/fbnetv3_g.ra2_in1k | 2023-04-27T22:48:53.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2006.02049",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/fbnetv3_g.ra2_in1k | 0 | 1,924 | timm | 2022-12-16T05:37:14 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for fbnetv3_g.ra2_in1k
A FBNet-v3 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA2` recipe. Inspired by and evo... | 4,858 | [
[
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0.019989013671875,
0.03582763671875,
-0.035980224609375,
-0.048553466796875,
-0.053985595703125,
... |
CLTL/MedRoBERTa.nl | 2022-12-20T15:05:31.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"nl",
"doi:10.57967/hf/0960",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | CLTL | null | null | CLTL/MedRoBERTa.nl | 3 | 1,923 | transformers | 2022-03-02T23:29:04 | ---
language: nl
license: mit
---
# MedRoBERTa.nl
## Description
This model is a RoBERTa-based model pre-trained from scratch on Dutch hospital notes sourced from Electronic Health Records. The model is not fine-tuned. All code used for the creation of MedRoBERTa.nl can be found at https://github.com/cltl-students/v... | 1,264 | [
[
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0.05517578125,
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-0.0611572265625,
-0.053192138671875,
0.0199279785... |
NlpHUST/vibert4news-base-cased | 2023-03-17T02:28:40.000Z | [
"transformers",
"pytorch",
"safetensors",
"fill-mask",
"vn",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | NlpHUST | null | null | NlpHUST/vibert4news-base-cased | 4 | 1,921 | transformers | 2022-03-02T23:29:04 | ---
language: vn
---
# BERT for Vietnamese is trained on more 20 GB news dataset
Apply for task sentiment analysis on using [AIViVN's comments dataset](https://www.aivivn.com/contests/6)
The model achieved 0.90268 on the public leaderboard, (winner's score is 0.90087)
Bert4news is used for a toolkit Vietnames(segment... | 3,679 | [
[
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-0.050628662109375,
-0.043060302734375,
0... |
clue/roberta_chinese_base | 2021-05-20T15:23:58.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"zh",
"endpoints_compatible",
"region:us"
] | null | clue | null | null | clue/roberta_chinese_base | 2 | 1,921 | transformers | 2022-03-02T23:29:05 | ---
language: zh
---
## roberta_chinese_base
### Overview
**Language model:** roberta-base
**Model size:** 392M
**Language:** Chinese
**Training data:** [CLUECorpusSmall](https://github.com/CLUEbenchmark/CLUECorpus2020)
**Eval data:** [CLUE dataset](https://github.com/CLUEbenchmark/CLUE)
### Results
For results on... | 999 | [
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0.029754638671875,
-0.037109375,
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-0.04168701171875,
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0.0104827880859375,
-0.046630859375,
-0.059722900390625,
-0.04827880859375,
-0.01... |
hfl/chinese-lert-base | 2022-11-17T04:13:20.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"fill-mask",
"zh",
"arxiv:2211.05344",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | hfl | null | null | hfl/chinese-lert-base | 11 | 1,921 | transformers | 2022-10-26T02:12:14 | ---
language:
- zh
license: "apache-2.0"
---
### LERT
LERT is a linguistically-motivated pre-trained language model.
Further information: https://github.com/ymcui/LERT/blob/main/README_EN.md
- **LERT: A Linguistically-motivated Pre-trained Language Model**
- *Yiming Cui, Wanxiang Che, Shijin Wang, Ting Liu*
- Paper ... | 359 | [
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-0.0235137939453125,
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... |
microsoft/wavlm-base-plus-sd | 2022-03-25T12:06:46.000Z | [
"transformers",
"pytorch",
"wavlm",
"audio-frame-classification",
"speech",
"en",
"arxiv:1912.07875",
"arxiv:2106.06909",
"arxiv:2101.00390",
"arxiv:2110.13900",
"endpoints_compatible",
"region:us"
] | null | microsoft | null | null | microsoft/wavlm-base-plus-sd | 4 | 1,920 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- speech
---
# WavLM-Base-Plus for Speaker Diarization
[Microsoft's WavLM](https://github.com/microsoft/unilm/tree/master/wavlm)
The model was pretrained on 16kHz sampled speech audio with utterance and speaker contrastive loss. When using the model, make sure that your speech input is also ... | 3,294 | [
[
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-0.04022216796875,
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0.036468505859375,
-0.050079345703125,
-0.045135498046875,
-0.03091430664... |
monadical-labs/minecraft-skin-generator | 2023-10-23T19:58:38.000Z | [
"diffusers",
"minecraft",
"text-to-image",
"en",
"license:openrail",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | monadical-labs | null | null | monadical-labs/minecraft-skin-generator | 6 | 1,920 | diffusers | 2023-06-24T18:30:50 | ---
license: openrail
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- minecraft
---
## Update
We have released a hosted version of our Minecraft Skin Generator at: [https://www.skingenerator.io](https://www.skingenerator.io)
While closed source, this version improves on the quality of gener... | 1,776 | [
[
-0.0269622802734375,
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0.042510986328125,
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0.01427459716796875,
-0.025054931640625,
-0.04254150390625,
0.025787353515625,
0.0689697265625,
-0.06695556640625,
-0.050140380859375,
-0.020111083984375,
-0.0... |
cross-attention/asymmetric-autoencoder-kl-x-1-5 | 2023-07-19T17:47:08.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"arxiv:2306.04632",
"diffusers:AsymmetricAutoencoderKL",
"region:us"
] | null | cross-attention | null | null | cross-attention/asymmetric-autoencoder-kl-x-1-5 | 2 | 1,920 | diffusers | 2023-07-07T14:32:59 | ---
tags:
- stable-diffusion
- stable-diffusion-diffusers
inference: false
library_name: diffusers
---
# Asymmetric Autoencoder KL
[Designing a Better Asymmetric VQGAN for StableDiffusion](https://arxiv.org/abs/2306.04632)
## Abstract
*StableDiffusion is a revolutionary text-to-image generator that is causing a stir ... | 3,485 | [
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0.0... |
obi/deid_bert_i2b2 | 2022-08-22T13:28:40.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"deidentification",
"medical notes",
"ehr",
"phi",
"en",
"dataset:I2B2",
"arxiv:1904.03323",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | obi | null | null | obi/deid_bert_i2b2 | 7 | 1,919 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
thumbnail: "https://www.onebraveidea.org/wp-content/uploads/2019/07/OBI-Logo-Website.png"
tags:
- deidentification
- medical notes
- ehr
- phi
datasets:
- I2B2
metrics:
- F1
- Recall
- AUC
widget:
- text: "Physician Discharge Summary Admit date: 10/12/1982 Discharge date: 10/22/1982 Patient Informa... | 5,265 | [
[
-0.0021686553955078125,
-0.06201171875,
0.035614013671875,
-0.013427734375,
-0.0254669189453125,
-0.0170135498046875,
0.00354766845703125,
-0.033172607421875,
0.019775390625,
0.041595458984375,
-0.041748046875,
-0.0634765625,
-0.05224609375,
0.00044393539428... |
Panchal009/my-robots-cvb | 2023-10-09T10:35:48.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Panchal009 | null | null | Panchal009/my-robots-cvb | 0 | 1,919 | diffusers | 2023-10-09T10:30:13 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-robots-cvb Dreambooth model trained by Panchal009 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](htt... | 808 | [
[
-0.060302734375,
-0.029266357421875,
0.0291748046875,
0.0181427001953125,
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0.0372314453125,
0.0316162109375,
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0.044036865234375,
-0.0604248046875,
-0.037353515625,
-0.030548095703125,
-0.003503799438... |
studio-ousia/luke-japanese-large | 2022-11-09T02:18:56.000Z | [
"transformers",
"pytorch",
"luke",
"fill-mask",
"named entity recognition",
"entity typing",
"relation classification",
"question answering",
"ja",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | studio-ousia | null | null | studio-ousia/luke-japanese-large | 6 | 1,918 | transformers | 2022-11-07T14:25:53 | ---
language: ja
thumbnail: https://github.com/studio-ousia/luke/raw/master/resources/luke_logo.png
tags:
- luke
- named entity recognition
- entity typing
- relation classification
- question answering
license: apache-2.0
---
## luke-japanese-large
**luke-japanese** is the Japanese version of **LUKE** (**L... | 2,707 | [
[
-0.0438232421875,
-0.07513427734375,
0.0435791015625,
-0.008758544921875,
-0.01488494873046875,
-0.0011920928955078125,
-0.041107177734375,
-0.041717529296875,
0.06268310546875,
0.0267486572265625,
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-0.058746337890625,
-0.048675537109375,
... |
textattack/bert-base-uncased-imdb | 2021-05-20T07:42:02.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/bert-base-uncased-imdb | 5 | 1,914 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model Card
This `bert-base-uncased` 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 16, a learning
rate of 2e-05, and a maximum sequence length of 128.
Since this was a cla... | 612 | [
[
-0.0257415771484375,
-0.027618408203125,
0.0180206298828125,
-0.00031065940856933594,
-0.03863525390625,
0.01528167724609375,
-0.00919342041015625,
-0.03631591796875,
-0.004718780517578125,
0.0300140380859375,
-0.046112060546875,
-0.045745849609375,
-0.041748046... |
smanjil/German-MedBERT | 2022-06-13T16:52:46.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"exbert",
"German",
"de",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | smanjil | null | null | smanjil/German-MedBERT | 17 | 1,910 | transformers | 2022-03-02T23:29:05 | ---
language: de
tags:
- exbert
- German
---
<a href="https://huggingface.co/exbert/?model=smanjil/German-MedBERT">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
# German Medical BERT
This is a fine-tuned model on the Medical domain for the German language and based on German B... | 1,608 | [
[
-0.03692626953125,
-0.0482177734375,
0.0217742919921875,
0.00824737548828125,
-0.019195556640625,
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-0.0292816162109375,
-0.0498046875,
0.0322265625,
0.009674072265625,
-0.043426513671875,
-0.0511474609375,
-0.051239013671875,
-0.0004465... |
aubmindlab/bert-large-arabertv02 | 2023-08-03T12:31:29.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tensorboard",
"safetensors",
"bert",
"fill-mask",
"ar",
"dataset:wikipedia",
"dataset:Osian",
"dataset:1.5B-Arabic-Corpus",
"dataset:oscar-arabic-unshuffled",
"arxiv:2003.00104",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"... | fill-mask | aubmindlab | null | null | aubmindlab/bert-large-arabertv02 | 4 | 1,906 | transformers | 2022-03-02T23:29:05 | ---
language: ar
datasets:
- wikipedia
- Osian
- 1.5B-Arabic-Corpus
- oscar-arabic-unshuffled
widget:
- text: " عاصمة لبنان هي [MASK] ."
---
# AraBERT v1 & v2 : Pre-training BERT for Arabic Language Understanding
<img src="https://raw.githubusercontent.com/aub-mind/arabert/master/arabert_logo.png" width="100" align=... | 8,193 | [
[
-0.052825927734375,
-0.052978515625,
0.025115966796875,
0.00972747802734375,
-0.02252197265625,
-0.00643157958984375,
-0.0107574462890625,
-0.04327392578125,
0.018951416015625,
0.021728515625,
-0.04351806640625,
-0.05023193359375,
-0.05859375,
0.000145912170... |
microsoft/swin-base-patch4-window12-384-in22k | 2022-05-16T18:01:06.000Z | [
"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-base-patch4-window12-384-in22k | 0 | 1,906 | 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... | 3,751 | [
[
-0.049285888671875,
-0.027130126953125,
-0.01045989990234375,
0.012420654296875,
-0.005611419677734375,
-0.021484375,
-0.0026187896728515625,
-0.061737060546875,
0.00478363037109375,
0.0234832763671875,
-0.0404052734375,
-0.01364898681640625,
-0.0439453125,
... |
hackathon-pln-es/bertin-roberta-base-zeroshot-esnli | 2023-04-13T08:45:26.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"text-classification",
"zero-shot-classification",
"nli",
"es",
"dataset:hackathon-pln-es/nli-es",
"endpoints_compatible",
"region:us"
] | zero-shot-classification | hackathon-pln-es | null | null | hackathon-pln-es/bertin-roberta-base-zeroshot-esnli | 3 | 1,906 | transformers | 2022-04-04T15:05:03 | ---
pipeline_tag: zero-shot-classification
tags:
- zero-shot-classification
- nli
language:
- es
datasets:
- hackathon-pln-es/nli-es
widget:
- text: "Para detener la pandemia, es importante que todos se presenten a vacunarse."
candidate_labels: "salud, deporte, entretenimiento"
---
# A zero-shot classifier based on... | 2,537 | [
[
-0.024444580078125,
-0.05419921875,
0.031402587890625,
0.0117645263671875,
0.00855255126953125,
-0.00911712646484375,
-0.01373291015625,
-0.031585693359375,
0.039398193359375,
0.0273895263671875,
-0.055908203125,
-0.045379638671875,
-0.049957275390625,
0.020... |
timm/resnext50_32x4d.a1h_in1k | 2023-04-05T18:57:20.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1611.05431",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnext50_32x4d.a1h_in1k | 0 | 1,905 | timm | 2023-04-05T18:56:55 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnext50_32x4d.a1h_in1k
A ResNeXt-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
* grouped 3x3 bottleneck con... | 38,940 | [
[
-0.06365966796875,
-0.0171051025390625,
0.004123687744140625,
0.0276336669921875,
-0.03106689453125,
-0.008758544921875,
-0.01047515869140625,
-0.0299835205078125,
0.08123779296875,
0.0216217041015625,
-0.04864501953125,
-0.041290283203125,
-0.046295166015625,
... |
JainSanyam/my-beautiful-cat | 2023-10-08T18:54:14.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | JainSanyam | null | null | JainSanyam/my-beautiful-cat | 0 | 1,903 | diffusers | 2023-10-08T18:49:16 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Beautiful-Cat Dreambooth model trained by JainSanyam following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: VCE-14
Sample pictures of this concept:
![0](https://huggingfa... | 402 | [
[
-0.05035400390625,
-0.025848388671875,
0.02294921875,
0.0181121826171875,
-0.030120849609375,
0.0430908203125,
0.044036865234375,
-0.0276947021484375,
0.066650390625,
0.04876708984375,
-0.0482177734375,
-0.01082611083984375,
-0.010986328125,
0.01322937011718... |
TheBloke/zephyr-7B-beta-AWQ | 2023-10-27T14:56:23.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"arxiv:2305.18290",
"arxiv:2310.16944",
"license:mit",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/zephyr-7B-beta-AWQ | 12 | 1,903 | transformers | 2023-10-27T13:16:11 | ---
base_model: HuggingFaceH4/zephyr-7b-beta
datasets:
- HuggingFaceH4/ultrachat_200k
- HuggingFaceH4/ultrafeedback_binarized
inference: false
language:
- en
license: mit
model-index:
- name: zephyr-7b-beta
results: []
model_creator: Hugging Face H4
model_name: Zephyr 7B Beta
model_type: mistral
prompt_template: '<|s... | 32,796 | [
[
-0.03302001953125,
-0.06201171875,
0.0274505615234375,
0.00928497314453125,
-0.01446533203125,
-0.0147705078125,
0.00799560546875,
-0.043701171875,
0.0057220458984375,
0.025848388671875,
-0.051239013671875,
-0.037200927734375,
-0.0183868408203125,
-0.0023689... |
Daniil-plotnikov/russian-vision-v6-11 | 2023-10-08T14:54:32.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"ru",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Daniil-plotnikov | null | null | Daniil-plotnikov/russian-vision-v6-11 | 1 | 1,900 | diffusers | 2023-10-08T13:51:18 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
language:
- ru
- en
---
### Russian-Vision-v6.11
Model for generate images on russian languages | 171 | [
[
-0.011749267578125,
-0.0011739730834960938,
0.0211944580078125,
0.0355224609375,
-0.050933837890625,
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0.0151214599609375,
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0.0151214599609375,
0.044097900390625,
-0.03131103515625,
-0.05596923828125,
-0.046356201171875,
... |
DataikuNLP/paraphrase-multilingual-MiniLM-L12-v2 | 2021-09-02T08:31:10.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | DataikuNLP | null | null | DataikuNLP/paraphrase-multilingual-MiniLM-L12-v2 | 0 | 1,899 | sentence-transformers | 2022-03-02T23:29:04 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# DataikuNLP/paraphrase-multilingual-MiniLM-L12-v2
**This model is a copy of [this model repository](https://huggingface.co/sentence-transformers/paraphrase-multilingua... | 3,983 | [
[
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0.03192138671875,
-0.04193115234375,
-0.0236968994140625,
-0.045166015625,
0.0145... |
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