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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
timm/convnextv2_nano.fcmae_ft_in1k | 2023-03-31T23:39:17.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_nano.fcmae_ft_in1k | 0 | 1,446 | timm | 2023-01-05T01:55:22 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_nano.fcmae_ft_in1k
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-1k.
#... | 15,786 | [
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Nara-Lab/nallm-polyglot-ko-1.3b-base | 2023-06-28T09:24:15.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"ko",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Nara-Lab | null | null | Nara-Lab/nallm-polyglot-ko-1.3b-base | 2 | 1,445 | transformers | 2023-06-22T01:12:03 | ---
license: mit
language:
- ko
---
NA-LLM(나름)은 나라지식정보가 개발한 한국어 Large Language Model (LLM) 입니다.
https://github.com/Nara-Information/NA-LLM | 140 | [
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timm/maxvit_base_tf_512.in21k_ft_in1k | 2023-05-10T23:59:59.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_base_tf_512.in21k_ft_in1k | 1 | 1,444 | timm | 2022-12-02T21:50:28 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for maxvit_base_tf_512.in21k_ft_in1k
An official MaxViT image classification model. Pretrained in tensorflow on ImageNet-21k (21843 Google specific instance of ImageNet-22k) and fine-t... | 22,285 | [
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etri-xainlp/polyglot-ko-12.8b-instruct | 2023-09-18T06:40:24.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"ko",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | etri-xainlp | null | null | etri-xainlp/polyglot-ko-12.8b-instruct | 0 | 1,444 | transformers | 2023-09-12T07:48:37 | ---
license: apache-2.0
language:
- ko
---
# polyglot-ko-12.8b-instruct
This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b) on an instruction-following dataset(260k).
## Training procedure
### Training hyperparameters
The following hyperparamete... | 1,758 | [
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Nara-Lab/nallm-polyglot-ko-3.8b-base | 2023-06-28T09:24:35.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"ko",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Nara-Lab | null | null | Nara-Lab/nallm-polyglot-ko-3.8b-base | 3 | 1,443 | transformers | 2023-06-23T01:35:24 | ---
license: mit
language:
- ko
---
NA-LLM(나름)은 나라지식정보가 개발한 한국어 Large Language Model (LLM) 입니다.
https://github.com/Nara-Information/NA-LLM | 140 | [
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livingbox/model-test-10-oct-with-out-external-caption | 2023-10-10T11:38:19.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | livingbox | null | null | livingbox/model-test-10-oct-with-out-external-caption | 1 | 1,443 | diffusers | 2023-10-10T11:34:18 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### model-test-10-oct-with-out-external-caption 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
... | 534 | [
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guillaumekln/faster-whisper-large-v1 | 2023-05-12T18:58:39.000Z | [
"ctranslate2",
"audio",
"automatic-speech-recognition",
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"el",
"ms",
"cs",
"ro",
"da",
"hu",
"ta",
"no",
"th",
"ur",
... | automatic-speech-recognition | guillaumekln | null | null | guillaumekln/faster-whisper-large-v1 | 3 | 1,442 | ctranslate2 | 2023-03-28T12:33:41 | ---
language:
- en
- zh
- de
- es
- ru
- ko
- fr
- ja
- pt
- tr
- pl
- ca
- nl
- ar
- sv
- it
- id
- hi
- fi
- vi
- he
- uk
- el
- ms
- cs
- ro
- da
- hu
- ta
- 'no'
- th
- ur
- hr
- bg
- lt
- la
- mi
- ml
- cy
- sk
- te
- fa
- lv
-... | 2,012 | [
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Thousif/my-cat | 2023-10-17T11:39:02.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Thousif | null | null | Thousif/my-cat | 0 | 1,442 | diffusers | 2023-10-17T11:34:55 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Cat Dreambooth model trained by Thousif following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](https://huggingface.co... | 472 | [
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GAI-LLM/ko-en-llama2-13b-mixed-v2 | 2023-10-27T00:42:25.000Z | [
"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-v2 | 0 | 1,442 | transformers | 2023-10-20T02:48:59 | ---
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-v2**
## Model Details
**Model Developers** Donghoon Oh, Hanmin Myung, Eunyoung Kim (SK C&C G.AI Eng)
**Input** Models input text only.
*... | 1,335 | [
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nayohan/polyglot-ko-1.3b-Inst | 2023-10-26T10:41:19.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"polyglot-ko",
"gpt-neox",
"KoQuality",
"ko",
"dataset:DILAB-HYU/KoQuality",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | nayohan | null | null | nayohan/polyglot-ko-1.3b-Inst | 0 | 1,441 | transformers | 2023-10-21T12:08:17 | ---
license: apache-2.0
datasets:
- DILAB-HYU/KoQuality
language:
- ko
pipeline_tag: text-generation
tags:
- polyglot-ko
- gpt-neox
- KoQuality
base_model: EleutherAI/polyglot-ko-1.3b
---
This model is a instruct-tuned poylglot-ko-1.3b model, using only 1% of [Kullm, OIG, KoAlpaca] Instruction dataset.
len10_k100_mppl... | 730 | [
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timm/vit_base_patch16_224.sam_in1k | 2023-05-06T00:00:55.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2106.01548",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_224.sam_in1k | 0 | 1,440 | timm | 2022-12-22T07:27:36 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_base_patch16_224.sam_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-1k using Sharpness Aware Minimization.
## Model Details
- **Model Type:** Image classifi... | 3,657 | [
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FFusion/FFusionXL-LoRa-SDXL-Potion-Art-Engine | 2023-07-27T19:11:33.000Z | [
"diffusers",
"safetensors",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"en",
"doi:10.57967/hf/0918",
"license:other",
"has_space",
"region:us"
] | text-to-image | FFusion | null | null | FFusion/FFusionXL-LoRa-SDXL-Potion-Art-Engine | 2 | 1,439 | diffusers | 2023-07-23T20:39:23 | ---
license: other
base_model: diffusers/FFusionXL-1-SDXL
instance_prompt: a 3d potion vial
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%20LoRA%20%F0... | 8,333 | [
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juliensimon/reviews-sentiment-analysis | 2023-03-17T08:01:25.000Z | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"text-classification",
"sentiment-analysis",
"en",
"dataset:generated_reviews_enth",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | juliensimon | null | null | juliensimon/reviews-sentiment-analysis | 5 | 1,438 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- distilbert
- sentiment-analysis
datasets:
- generated_reviews_enth
---
Distilbert model fine-tuned on English language product reviews
A notebook for Amazon SageMaker is available in the 'code' subfolder.
| 237 | [
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timm/maxvit_small_tf_512.in1k | 2023-05-11T00:22:32.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_small_tf_512.in1k | 0 | 1,435 | timm | 2022-12-02T21:56:58 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_small_tf_512.in1k
An official MaxViT image classification model. Trained in tensorflow on ImageNet-1k by paper authors.
Ported from official Tensorflow implementation (https://github.com/g... | 22,115 | [
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sue3489/test0_kullm-polyglot-5.8b-v2-koalpaca-v1.1b | 2023-10-05T02:16:05.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | sue3489 | null | null | sue3489/test0_kullm-polyglot-5.8b-v2-koalpaca-v1.1b | 0 | 1,435 | transformers | 2023-08-31T02:25:40 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: kullm-polyglot-5.8b-v2-koalpaca-v1.1b
results: []
datasets:
- beomi/KoAlpaca-v1.1a
language:
- ko
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread... | 1,010 | [
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showlab/show-1-interpolation | 2023-10-12T04:06:58.000Z | [
"diffusers",
"text-to-video",
"arxiv:2309.15818",
"license:cc-by-nc-4.0",
"diffusers:TextToVideoIFInterpPipeline",
"region:us",
"has_space"
] | text-to-video | showlab | null | null | showlab/show-1-interpolation | 1 | 1,433 | diffusers | 2023-10-10T16:52:34 | ---
license: cc-by-nc-4.0
tags:
- text-to-video
---
# show-1-interpolation
Pixel-based VDMs can generate motion accurately aligned with the textual prompt but typically demand expensive computational costs in terms of time and GPU memory, especially when generating high-resolution videos. Latent-based VDMs are mor... | 3,158 | [
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timm/maxxvit_rmlp_small_rw_256.sw_in1k | 2023-05-11T00:46:35.000Z | [
"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_small_rw_256.sw_in1k | 0 | 1,432 | timm | 2023-01-20T21:36:48 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxxvit_rmlp_small_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` o... | 22,388 | [
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timm/deit3_base_patch16_224.fb_in1k | 2023-03-28T00:46:54.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.07118",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/deit3_base_patch16_224.fb_in1k | 0 | 1,432 | timm | 2023-03-28T00:45:35 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit3_base_patch16_224.fb_in1k
A DeiT-III image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model... | 2,940 | [
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ckiplab/bert-tiny-chinese | 2022-05-10T03:28:12.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"lm-head",
"zh",
"license:gpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | ckiplab | null | null | ckiplab/bert-tiny-chinese | 0 | 1,430 | transformers | 2022-05-10T02:53:57 | ---
language:
- zh
thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
- pytorch
- lm-head
- bert
- zh
license: gpl-3.0
---
# CKIP BERT Tiny Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segmentation, part-o... | 1,106 | [
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amphora/polyglot-5.8B-CoT-e1 | 2023-05-30T17:49:18.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"haerae",
"ko",
"arxiv:2305.14045",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | amphora | null | null | amphora/polyglot-5.8B-CoT-e1 | 0 | 1,430 | transformers | 2023-05-30T17:16:54 | ---
license: apache-2.0
language:
- ko
tags:
- haerae
widget:
- text: "10개의 빨래를 펼쳐 말리는데 1시간이 걸린다. 20개의 빨래를 동시에 펼칠 공간이 있다고 가정할때, 20개의 빨래를 말리는데 걸리는 시간은?\n풀이: "
---
# Model Card for Model ID
polyglot-5.8B-CoT-e1는 [polyglot-5.8B](https://huggingface.co/EleutherAI/polyglot-ko-5.8b) 모델을 "[CoT Collection](https://github.co... | 2,370 | [
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h2oai/h2ogpt-32k-codellama-34b-instruct | 2023-10-20T21:22:27.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | h2oai | null | null | h2oai/h2ogpt-32k-codellama-34b-instruct | 1 | 1,429 | transformers | 2023-10-19T20:13:48 | ---
license: llama2
---
Same as h2oai/h2ogpt-16k-codellama-34b-instruct but with config.json modified to be 32k for embeddings, which still functions fine as 16k model and allows stretching into 32k in vLLM that otherwise cannot modify maximum sequence length. | 261 | [
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Yntec/MangledMerge3_768 | 2023-08-17T20:35:29.000Z | [
"diffusers",
"Anime",
"Art",
"Realistic",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"pmango300574",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/MangledMerge3_768 | 3 | 1,428 | diffusers | 2023-08-15T22:30:49 | ---
license: creativeml-openrail-m
language:
- en
tags:
- Anime
- Art
- Realistic
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- pmango300574
pipeline_tag: text-to-image
---
# Mangled Merge 3
768 version of this model for the inference API.
Samples and prompts by digiplay:
girl hold se... | 2,242 | [
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sue3489/test1_kullm-polyglot-5.8b-v2-koalpaca-v1.1b | 2023-10-05T02:21:21.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | sue3489 | null | null | sue3489/test1_kullm-polyglot-5.8b-v2-koalpaca-v1.1b | 0 | 1,428 | transformers | 2023-08-31T08:18:53 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: test1_kullm-polyglot-5.8b-v2-koalpaca-v1.1b
results: []
datasets:
- beomi/KoAlpaca-v1.1a
language:
- ko
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 1,022 | [
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Yntec/dosmixVAE | 2023-09-28T07:16:25.000Z | [
"diffusers",
"Anime",
"Character",
"3D",
"DiaryOfSta",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/dosmixVAE | 1 | 1,428 | diffusers | 2023-09-28T04:46:56 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- Anime
- Character
- 3D
- DiaryOfSta
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
inference: true
---
This model with the zVAE baked in.
Original page: https://civitai.com/model... | 601 | [
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sd-dreambooth-library/fashion | 2023-03-20T04:22:59.000Z | [
"diffusers",
"dreambooth-hackathon",
"Text-to-image",
"stable-diffusion",
"text-to-image",
"license:apache-2.0",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | sd-dreambooth-library | null | null | sd-dreambooth-library/fashion | 24 | 1,427 | diffusers | 2022-12-01T03:31:46 | ---
license: apache-2.0
tags:
- dreambooth-hackathon
- Text-to-image
- stable-diffusion
pipeline_tag: text-to-image
---
https://civitai.com/models/21642/fashion3d
import torch
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained("sd-dreambooth-library/fashion")
pipe = pipe.... | 937 | [
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0.001513481140... |
sail-rvc/Frank_Sinatra__51600_Steps___250_Epochs__RVC | 2023-07-14T07:22:48.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/Frank_Sinatra__51600_Steps___250_Epochs__RVC | 0 | 1,427 | transformers | 2023-07-14T07:22:20 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# Frank_Sinatra__51600_Steps___250_Epochs__RVC
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:22:48
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCM... | 412 | [
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sentence-transformers/roberta-large-nli-stsb-mean-tokens | 2022-06-15T20:56:01.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/roberta-large-nli-stsb-mean-tokens | 1 | 1,426 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net... | 3,998 | [
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0.00949096679687... |
TheBloke/dolphin-2.1-mistral-7B-AWQ | 2023-10-11T08:12:07.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/dolphin-2.1-mistral-7B-AWQ | 8 | 1,425 | transformers | 2023-10-11T07:55:09 | ---
base_model: ehartford/dolphin-2.1-mistral-7b
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
inference: false
language:
- en
license: apache-2.0
model_creator: Eric Hartford
model_name: Dolphin 2.1 Mistral 7B
model_type: mistral
prompt_template: '<|im_start|>system
{system_message}<|im_end|>
<|im_st... | 17,484 | [
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declare-lab/flan-alpaca-base | 2023-08-21T06:50:15.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"dataset:tatsu-lab/alpaca",
"arxiv:2308.09662",
"arxiv:2306.04757",
"arxiv:2210.11416",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | declare-lab | null | null | declare-lab/flan-alpaca-base | 31 | 1,423 | transformers | 2023-03-21T16:18:57 | ---
license: apache-2.0
datasets:
- tatsu-lab/alpaca
---
## 🍮 🦙 Flan-Alpaca: Instruction Tuning from Humans and Machines
📣 Introducing **Red-Eval** to evaluate the safety of the LLMs using several jailbreaking prompts. With **Red-Eval** one could jailbreak/red-team GPT-4 with a 65.1% attack success rate and ChatGP... | 5,871 | [
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xiaolxl/Gf_style2 | 2023-10-28T08:16:53.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | xiaolxl | null | null | xiaolxl/Gf_style2 | 153 | 1,421 | diffusers | 2023-01-26T00:27:08 | ---
license: cc-by-nc-sa-4.0
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
---
<img src=https://huggingface.co/xiaolxl/Gf_style2/resolve/main/examples/cover.png>
# 基于SDXL的国风4已发布！- GuoFeng4 based on SDXL has been released! : https://huggingface... | 3,598 | [
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FunkEngine/FunkEngine-6B | 2023-07-16T07:12:09.000Z | [
"transformers",
"pytorch",
"gptj",
"text-generation",
"license:creativeml-openrail-m",
"endpoints_compatible",
"region:us"
] | text-generation | FunkEngine | null | null | FunkEngine/FunkEngine-6B | 0 | 1,421 | transformers | 2023-07-16T06:27:35 | ---
license: creativeml-openrail-m
---
# Model Card for FunkEngine-6B
<!-- Provide a quick summary of what the model is/does. -->
This is one of those times where it is entirely appropriate to put lipstick on a pig...
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
... | 609 | [
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zeroshot/bge-base-en-v1.5-sparse | 2023-11-01T17:50:47.000Z | [
"transformers",
"onnx",
"bert",
"feature-extraction",
"mteb",
"sparse sparsity quantized onnx embeddings int8",
"en",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | zeroshot | null | null | zeroshot/bge-base-en-v1.5-sparse | 1 | 1,419 | transformers | 2023-10-01T13:08:44 | ---
license: mit
language:
- en
tags:
- mteb
- sparse sparsity quantized onnx embeddings int8
model-index:
- name: bge-base-en-v1.5-sparse
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
s... | 21,989 | [
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HeWhoRemixes/pastelmix-better-vae-fp16 | 2023-05-16T06:42:05.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | HeWhoRemixes | null | null | HeWhoRemixes/pastelmix-better-vae-fp16 | 1 | 1,416 | diffusers | 2023-05-15T12:53:19 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
## Note
I do not own this model nor did I train it.
## Sources
- [Model](https://huggingface.co/andite/pastel-mix)
| 281 | [
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phiyodr/bert-base-finetuned-squad2 | 2021-05-20T02:34:19.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"question-answering",
"en",
"dataset:squad2",
"arxiv:1810.04805",
"arxiv:1806.03822",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | phiyodr | null | null | phiyodr/bert-base-finetuned-squad2 | 1 | 1,415 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- pytorch
- question-answering
datasets:
- squad2
metrics:
- exact
- f1
widget:
- text: "What discipline did Winkelmann create?"
context: "Johann Joachim Winckelmann was a German art historian and archaeologist. He was a pioneering Hellenist who first articulated the difference between Greek, G... | 2,486 | [
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sentence-transformers/quora-distilbert-multilingual | 2022-06-15T20:31:58.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/quora-distilbert-multilingual | 2 | 1,415 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/quora-distilbert-multilingual
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensiona... | 3,729 | [
[
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0.013... |
VietAI/vit5-large | 2022-09-27T18:09:43.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"summarization",
"translation",
"question-answering",
"vi",
"dataset:cc100",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | question-answering | VietAI | null | null | VietAI/vit5-large | 2 | 1,414 | transformers | 2022-03-14T16:35:55 | ---
language: vi
datasets:
- cc100
tags:
- summarization
- translation
- question-answering
license: mit
---
# ViT5-large
State-of-the-art pretrained Transformer-based encoder-decoder model for Vietnamese.
## How to use
For more details, do check out [our Github repo](https://github.com/vietai/ViT5).
[Finetunning... | 1,223 | [
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Intel/ldm3d-4c | 2023-11-05T14:13:37.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"dataset:laion/laion400m",
"arxiv:2305.10853",
"arxiv:2112.10752",
"arxiv:2103.13413",
"license:creativeml-openrail-m",
"has_space",
"diffusers:StableDiffusionLDM3DPipeline",
"region:us"
] | text-to-image | Intel | null | null | Intel/ldm3d-4c | 6 | 1,414 | diffusers | 2023-06-22T12:02:01 | ---
license: creativeml-openrail-m
datasets:
- laion/laion400m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
language:
- en
---
# LDM3D model
The LDM3D model was proposed in ["LDM3D: Latent Diffusion Model for 3D"](https://arxiv.org/abs/2305.10853) by Gabriela Ben Melech Stan, Diana Wofk, Scot... | 4,254 | [
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vinai/vinai-translate-en2vi | 2022-07-06T08:33:18.000Z | [
"transformers",
"pytorch",
"tf",
"mbart",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | vinai | null | null | vinai/vinai-translate-en2vi | 1 | 1,413 | transformers | 2022-07-01T04:17:04 | # A Vietnamese-English Neural Machine Translation System
Our pre-trained VinAI Translate models `vinai/vinai-translate-vi2en` and `vinai/vinai-translate-en2vi` are state-of-the-art text translation models for Vietnamese-to-English and English-to-Vietnamese, respectively. The general architecture and experimental resul... | 1,188 | [
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stevhliu/my_awesome_eli5_mlm_model | 2022-10-12T22:42:23.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | stevhliu | null | null | stevhliu/my_awesome_eli5_mlm_model | 0 | 1,412 | transformers | 2022-10-12T22:30:57 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesom... | 1,374 | [
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KBLab/sentence-bert-swedish-cased | 2023-07-18T09:57:37.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"sv",
"arxiv:2004.09813",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | KBLab | null | null | KBLab/sentence-bert-swedish-cased | 14 | 1,411 | sentence-transformers | 2022-03-02T23:29:04 | ---
pipeline_tag: sentence-similarity
lang:
- sv
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
widget:
- source_sentence: Mannen åt mat.
sentences:
- Han förtärde en närande och nyttig måltid.
- Det var ett sunkigt hak med ganska gott käk.
- Han inmundigade middagen til... | 12,786 | [
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0.00... |
soheeyang/rdr-question_encoder-single-nq-base | 2021-04-15T15:58:07.000Z | [
"transformers",
"pytorch",
"tf",
"dpr",
"feature-extraction",
"arxiv:2010.10999",
"arxiv:2004.04906",
"endpoints_compatible",
"region:us"
] | feature-extraction | soheeyang | null | null | soheeyang/rdr-question_encoder-single-nq-base | 0 | 1,411 | transformers | 2022-03-02T23:29:05 | # rdr-question_encoder-single-nq-base
Reader-Distilled Retriever (`RDR`)
Sohee Yang and Minjoon Seo, [Is Retriever Merely an Approximator of Reader?](https://arxiv.org/abs/2010.10999), arXiv 2020
The paper proposes to distill the reader into the retriever so that the retriever absorbs the strength of the reader whil... | 2,711 | [
[
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ptx0/sdxl-refiner | 2023-07-26T23:37:46.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"arxiv:2307.01952",
"arxiv:2108.01073",
"arxiv:2112.10752",
"license:openrail++",
"diffusers:StableDiffusionXLImg2ImgPipeline",
"region:us"
] | text-to-image | ptx0 | null | null | ptx0/sdxl-refiner | 3 | 1,411 | diffusers | 2023-07-26T22:34:47 | ---
license: openrail++
tags:
- stable-diffusion
- text-to-image
---
# SD-XL 1.0-refiner Model Card
## Model
[SDXL](https://arxiv.org/abs/2307.01952) consists of a mixture-of-experts pipeline for latent diffusion:
In a first step, the base model (available here: https://hu... | 5,155 | [
[
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cointegrated/rubert-tiny-sentiment-balanced | 2023-03-20T09:53:10.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"russian",
"classification",
"sentiment",
"multiclass",
"ru",
"endpoints_compatible",
"region:us"
] | text-classification | cointegrated | null | null | cointegrated/rubert-tiny-sentiment-balanced | 7 | 1,409 | transformers | 2022-03-02T23:29:05 | ---
language: ["ru"]
tags:
- russian
- classification
- sentiment
- multiclass
widget:
- text: "Какая гадость эта ваша заливная рыба!"
---
This is the [cointegrated/rubert-tiny](https://huggingface.co/cointegrated/rubert-tiny) model fine-tuned for classification of sentiment for short Russian texts.
The problem is fo... | 2,441 | [
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timm/twins_svt_small.in1k | 2023-04-23T23:25:30.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.13840",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/twins_svt_small.in1k | 0 | 1,409 | timm | 2023-04-23T23:25:06 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for twins_svt_small.in1k
A Twins-SVT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:*... | 2,836 | [
[
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facebook/xlm-v-base | 2023-02-08T08:15:57.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"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... | fill-mask | facebook | null | null | facebook/xlm-v-base | 31 | 1,408 | transformers | 2023-02-03T19:58:25 | ---
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
... | 4,290 | [
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0.0... |
AIARTCHAN/anidosmixV2 | 2023-03-21T10:06:29.000Z | [
"diffusers",
"stable-diffusion",
"aiartchan",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | AIARTCHAN | null | null | AIARTCHAN/anidosmixV2 | 19 | 1,408 | diffusers | 2023-02-18T04:22:00 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- aiartchan
---
# anidosmixV2
[원본글](https://arca.live/b/aiart/70069660)
~[civitai](https://civitai.com/models/6437/anidosmixv2)~
# Download
~[civitai original 2.13GB](https://civitai.com/api/download/mod... | 772 | [
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0.007270812988281... |
facebook/wav2vec2-xls-r-1b | 2022-08-10T08:12:04.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"pretraining",
"speech",
"xls_r",
"xls_r_pretrained",
"multilingual",
"ab",
"af",
"sq",
"am",
"ar",
"hy",
"as",
"az",
"ba",
"eu",
"be",
"bn",
"bs",
"br",
"bg",
"my",
"yue",
"ca",
"ceb",
"km",
"zh",
"cv",
"hr",
"cs",... | null | facebook | null | null | facebook/wav2vec2-xls-r-1b | 16 | 1,407 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- ab
- af
- sq
- am
- ar
- hy
- as
- az
- ba
- eu
- be
- bn
- bs
- br
- bg
- my
- yue
- ca
- ceb
- km
- zh
- cv
- hr
- cs
- da
- dv
- nl
- en
- eo
- et
- fo
- fi
- fr
- gl
- lg
- ka
- de
- el
- gn
- gu
- ht
- cnh
- ha
- haw
- he
- hi
- hu
- is
- id
- ia
- ga
- it
- ja
- jv
- kb
- kn
- kk
... | 3,529 | [
[
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0.02886962890625,
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timm/convformer_b36.sail_in1k_384 | 2023-05-05T05:56:31.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2210.13452",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convformer_b36.sail_in1k_384 | 0 | 1,407 | timm | 2023-05-05T05:55:19 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convformer_b36.sail_in1k_384
A ConvFormer (a MetaFormer) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature ba... | 3,663 | [
[
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soheeyang/rdr-ctx_encoder-single-nq-base | 2021-04-15T15:58:10.000Z | [
"transformers",
"pytorch",
"tf",
"dpr",
"arxiv:2010.10999",
"arxiv:2004.04906",
"endpoints_compatible",
"region:us"
] | null | soheeyang | null | null | soheeyang/rdr-ctx_encoder-single-nq-base | 0 | 1,406 | transformers | 2022-03-02T23:29:05 | # rdr-ctx_encoder-single-nq-base
Reader-Distilled Retriever (`RDR`)
Sohee Yang and Minjoon Seo, [Is Retriever Merely an Approximator of Reader?](https://arxiv.org/abs/2010.10999), arXiv 2020
The paper proposes to distill the reader into the retriever so that the retriever absorbs the strength of the reader while kee... | 2,667 | [
[
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0.0007009506225585938,
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-0.01078033447265625,
0.0287017822265625,
-0.041015625,
-0.0240478515625,
-0.047393798828125... |
Yntec/CuteYuki2 | 2023-08-17T09:06:47.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"newlifezfztty761",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/CuteYuki2 | 3 | 1,406 | diffusers | 2023-07-26T19:22:18 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- newlifezfztty761
---
# CuteYuki2
The most cute version of CuteYuki! Future ones sacrificed adorableness for coherence and better anatomy, but if yo... | 441 | [
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danyloylo/ControlNetMediaPipeFace-1.5 | 2023-08-03T13:08:50.000Z | [
"diffusers",
"controlnet",
"laion",
"face",
"mediapipe",
"image-to-image",
"en",
"dataset:LAION-Face",
"dataset:LAION",
"license:openrail",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | image-to-image | danyloylo | null | null | danyloylo/ControlNetMediaPipeFace-1.5 | 0 | 1,406 | diffusers | 2023-08-03T12:36:51 | ---
language:
- en
thumbnail: ''
tags:
- controlnet
- laion
- face
- mediapipe
- image-to-image
license: openrail
base_model: runwayml/stable-diffusion-v1-5
datasets:
- LAION-Face
- LAION
pipeline_tag: image-to-image
---
# ControlNet LAION Face Dataset (SD 1.5)
# Overview:
This is a copied version of the ControlNetM... | 569 | [
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vinai/bertweet-covid19-base-cased | 2022-10-22T08:52:13.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | vinai | null | null | vinai/bertweet-covid19-base-cased | 0 | 1,404 | transformers | 2022-03-02T23:29:05 | # <a name="introduction"></a> BERTweet: A pre-trained language model for English Tweets
BERTweet is the first public large-scale language model pre-trained for English Tweets. BERTweet is trained based on the [RoBERTa](https://github.com/pytorch/fairseq/blob/master/examples/roberta/README.md) pre-training procedure.... | 1,263 | [
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sentence-transformers/distilbert-base-nli-stsb-quora-ranking | 2022-06-15T22:01:40.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/distilbert-base-nli-stsb-quora-ranking | 0 | 1,403 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/distilbert-base-nli-stsb-quora-ranking
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 d... | 3,774 | [
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dumitrescustefan/bert-base-romanian-uncased-v1 | 2022-09-17T18:20:04.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"fill-mask",
"ro",
"license:mit",
"endpoints_compatible",
"region:us"
] | fill-mask | dumitrescustefan | null | null | dumitrescustefan/bert-base-romanian-uncased-v1 | 6 | 1,402 | transformers | 2022-03-02T23:29:05 | ---
language: ro
tags:
- bert
- fill-mask
license: mit
---
# bert-base-romanian-uncased-v1
The BERT **base**, **uncased** model for Romanian, trained on a 15GB corpus, version 
### How to use
```python
from transformers import AutoTokenizer, AutoModel... | 3,819 | [
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-0.0038394... |
dvm1983/TinyBERT_General_4L_312D_de | 2021-08-22T16:44:48.000Z | [
"transformers",
"pytorch",
"bert",
"tinybert",
"fill-mask",
"de",
"dataset:wiki",
"arxiv:1909.10351",
"endpoints_compatible",
"region:us"
] | fill-mask | dvm1983 | null | null | dvm1983/TinyBERT_General_4L_312D_de | 0 | 1,402 | transformers | 2022-03-02T23:29:05 | ---
language:
- de
tags:
- tinybert
- fill-mask
datasets:
- wiki
---
Here is represented tinybert model for German language (de). The model was created by distilling of bert base cased model(https://huggingface.co/dbmdz/bert-base-german-cased) in the way described in https://arxiv.org/abs/1909.10351 (TinyBERT: Distil... | 1,675 | [
[
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oliverguhr/fullstop-punctuation-multilingual-sonar-base | 2023-03-20T08:59:42.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"xlm-roberta",
"token-classification",
"punctuation prediction",
"punctuation",
"en",
"de",
"fr",
"it",
"nl",
"multilingual",
"dataset:wmt/europarl",
"dataset:SoNaR",
"arxiv:2301.03319",
"license:mit",
"autotrain_compatible... | token-classification | oliverguhr | null | null | oliverguhr/fullstop-punctuation-multilingual-sonar-base | 2 | 1,401 | transformers | 2022-05-17T08:01:56 | ---
language:
- en
- de
- fr
- it
- nl
- multilingual
tags:
- punctuation prediction
- punctuation
datasets:
- wmt/europarl
- SoNaR
license: mit
widget:
- text: "Ho sentito che ti sei laureata il che mi fa molto piacere"
example_title: "Italian"
- text: "Tous les matins vers quatre heures mon père ouvrait la porte d... | 6,485 | [
[
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0.04... |
sshleifer/distilbart-cnn-12-3 | 2021-06-14T07:47:53.000Z | [
"transformers",
"pytorch",
"jax",
"bart",
"text2text-generation",
"summarization",
"en",
"dataset:cnn_dailymail",
"dataset:xsum",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | summarization | sshleifer | null | null | sshleifer/distilbart-cnn-12-3 | 4 | 1,400 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- summarization
license: apache-2.0
datasets:
- cnn_dailymail
- xsum
thumbnail: https://huggingface.co/front/thumbnails/distilbart_medium.png
---
### Usage
This checkpoint should be loaded into `BartForConditionalGeneration.from_pretrained`. See the [BART docs](https://huggingface.co/transforme... | 1,705 | [
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-0.054656982421875,
-0.011... |
studio-ousia/luke-large | 2022-04-13T09:06:10.000Z | [
"transformers",
"pytorch",
"luke",
"fill-mask",
"named entity recognition",
"entity typing",
"relation classification",
"question answering",
"en",
"arxiv:1906.08237",
"arxiv:1903.07785",
"arxiv:2002.01808",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:... | fill-mask | studio-ousia | null | null | studio-ousia/luke-large | 3 | 1,400 | transformers | 2022-03-02T23:29:05 | ---
language: en
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: Deep Contextualized Entity Representations with Entity-aware Self-attenti... | 3,725 | [
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timm/ViT-SO400M-14-SigLIP | 2023-10-25T21:53:00.000Z | [
"open_clip",
"clip",
"siglip",
"zero-shot-image-classification",
"dataset:webli",
"arxiv:2303.15343",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | timm | null | null | timm/ViT-SO400M-14-SigLIP | 5 | 1,400 | open_clip | 2023-10-16T23:47:35 | ---
tags:
- clip
- siglip
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: apache-2.0
datasets:
- webli
---
# Model card for ViT-SO400M-14-SigLIP
A SigLIP (Sigmoid loss for Language-Image Pre-training) model trained on WebLI.
This model has been converted to PyTorch from the original JAX ... | 3,166 | [
[
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cahya/roberta-base-indonesian-522M | 2021-05-20T14:41:00.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"id",
"dataset:Indonesian Wikipedia",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | cahya | null | null | cahya/roberta-base-indonesian-522M | 3 | 1,397 | transformers | 2022-03-02T23:29:05 | ---
language: "id"
license: "mit"
datasets:
- Indonesian Wikipedia
widget:
- text: "Ibu ku sedang bekerja <mask> supermarket."
---
# Indonesian RoBERTa base model (uncased)
## Model description
It is RoBERTa-base model pre-trained with indonesian Wikipedia using a masked language modeling (MLM) objective. This
mode... | 2,128 | [
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0.01664... |
AIARTCHAN/AbyssHellHero | 2023-03-13T08:44:01.000Z | [
"diffusers",
"stable-diffusion",
"aiartchan",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | AIARTCHAN | null | null | AIARTCHAN/AbyssHellHero | 16 | 1,397 | diffusers | 2023-02-19T10:23:00 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- aiartchan
---
# AbyssHellHero
[원본글](https://arca.live/b/aiart/70124182)
[huggingface](https://huggingface.co/KMAZ/AbyssHell-AbyssMaple)
# Download
- [Original 7.7GB](https://huggingface.co/KMAZ/TestSam... | 1,152 | [
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kyledam/gaixinhyc | 2023-11-03T01:04:24.000Z | [
"diffusers",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | kyledam | null | null | kyledam/gaixinhyc | 0 | 1,396 | diffusers | 2023-04-14T06:57:33 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### gaixinhyc Dreambooth model trained by kyledam with TheLastBen's fast-DreamBooth notebook
| 202 | [
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Yntec/PeachMix3 | 2023-10-22T11:22:22.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"ModelofVoid",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/PeachMix3 | 2 | 1,396 | diffusers | 2023-07-25T05:42:13 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- ModelofVoid
---
# PeachMixV3VAE
I tested all the Peachmixes models so you don't have to! This is the most soulful one! Believe me, I've been obsess... | 532 | [
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0.006793... |
RUCAIBox/mvp-open-dialog | 2022-06-27T02:28:00.000Z | [
"transformers",
"pytorch",
"mvp",
"text-generation",
"text2text-generation",
"conversational",
"en",
"arxiv:2206.12131",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text2text-generation | RUCAIBox | null | null | RUCAIBox/mvp-open-dialog | 1 | 1,393 | transformers | 2022-06-02T11:53:44 | ---
license: apache-2.0
language:
- en
tags:
- text-generation
- text2text-generation
- conversational
pipeline_tag: text2text-generation
widget:
- text: "Given the dialog: do you like dance? [SEP] Yes I do. Did you know Bruce Lee was a cha cha dancer?"
example_title: "Example1"
- text: "Given the dialog: i used to s... | 4,412 | [
[
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0.037109375,
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-0.0455322265625,
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0... |
Neleac/timesformer-gpt2-video-captioning | 2023-04-22T06:09:44.000Z | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"video-captioning",
"text-generation",
"en",
"dataset:HuggingFaceM4/vatex",
"region:us"
] | text-generation | Neleac | null | null | Neleac/timesformer-gpt2-video-captioning | 11 | 1,393 | transformers | 2023-04-21T23:32:33 | ---
datasets:
- HuggingFaceM4/vatex
language:
- en
metrics:
- bleu
- meteor
- rouge
pipeline_tag: text-generation
inference: false
tags:
- video-captioning
---
# TimeSformer-GPT2 Video Captioning
Vision Encoder Model: [timesformer-base-finetuned-k600](https://huggingface.co/facebook/timesformer-base-finetuned-k600) \
... | 2,039 | [
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tlphams/gollm-12.8b-instruct-v2.0 | 2023-10-04T09:04:14.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | tlphams | null | null | tlphams/gollm-12.8b-instruct-v2.0 | 0 | 1,393 | transformers | 2023-10-04T01:19:27 | ---
license: cc-by-nc-sa-4.0
base_model: EleutherAI/polyglot-ko-12.8b
tags:
- generated_from_trainer
model-index:
- name: gollm-instruct-all-in-one-v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comple... | 1,965 | [
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timm/convnextv2_tiny.fcmae_ft_in1k | 2023-03-31T23:40:48.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_tiny.fcmae_ft_in1k | 0 | 1,392 | timm | 2023-01-05T01:56:33 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_tiny.fcmae_ft_in1k
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-1k.
#... | 15,787 | [
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Yntec/HassanBlend1512VAE | 2023-09-01T04:36:48.000Z | [
"diffusers",
"Photorealistic",
"General",
"Hassan",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/HassanBlend1512VAE | 1 | 1,392 | diffusers | 2023-08-31T17:47:11 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- Photorealistic
- General
- Hassan
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
---
# Hassan 1.5.1.2
This model with the MoistMixV2 VAE baked in.
Sample and pr... | 992 | [
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IDEA-CCNL/Ziya-Reader-13B-v1.0 | 2023-10-30T02:54:31.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"zh",
"arxiv:2210.08590",
"license:gpl-3.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | IDEA-CCNL | null | null | IDEA-CCNL/Ziya-Reader-13B-v1.0 | 17 | 1,392 | transformers | 2023-10-09T08:55:24 | ---
license: gpl-3.0
metrics:
- rouge
language:
- zh
pipeline_tag: text-generation
---
# Ziya-Reader-13B-v1.0
# 姜子牙系列模型
- [Ziya-LLaMA-13B-v1.1](https://huggingface.co/IDEA-CCNL/Ziya-LLaMA-13B-v1.1)
- [Ziya-LLaMA-13B-v1](https://huggingface.co/IDEA-CCNL/Ziya-LLaMA-13B-v1)
- [Ziya-LLaMA-7B-Reward](https://huggingface.c... | 7,697 | [
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-0.0438232421875,
-0.0455322265625,
-0.0382080078125,
0.0144042968... |
microsoft/swinv2-large-patch4-window12to24-192to384-22kto1k-ft | 2022-12-10T10:05:51.000Z | [
"transformers",
"pytorch",
"swinv2",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | microsoft | null | null | microsoft/swinv2-large-patch4-window12to24-192to384-22kto1k-ft | 0 | 1,391 | transformers | 2022-06-16T06:09:46 | ---
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... | 4,267 | [
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-0.04632568359375,
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0.03125,
-0.03802490234375,
-0.0010957717895507812,
-0.04656982421875,
-0.01... |
alea31415/kumabear-roukin-characters | 2023-04-12T15:56:13.000Z | [
"diffusers",
"stable-diffusion",
"anime",
"aiart",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | alea31415 | null | null | alea31415/kumabear-roukin-characters | 1 | 1,391 | diffusers | 2023-04-11T23:56:34 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- anime
- aiart
---
**This model is trained for 12 characters from Kuma Kuma Kuma Bear (くまクマ熊ベアー) + 5 characters from Saving 80,000 Gold in Another World for My Retirement (老後に備えて異世界で8万枚の金貨を貯めます)**
**Why do... | 2,506 | [
[
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Yntec/yabalMixTrue25D_v2_VAE | 2023-07-23T00:38:38.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"YabaL",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/yabalMixTrue25D_v2_VAE | 4 | 1,390 | diffusers | 2023-07-23T00:20:05 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- YabaL
---
# YabaL_Mix True2.5D
This model with the Waifu 1.4 VAE baked in.
Original page:
https://civitai.com/models/60093/yabalmix-true25d
Orig... | 474 | [
[
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0.0732421875,
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JosephusCheung/ACertainty | 2022-12-14T17:29:51.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"doi:10.57967/hf/0200",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | JosephusCheung | null | null | JosephusCheung/ACertainty | 95 | 1,389 | diffusers | 2022-12-14T15:36:27 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
widget:
- text: "masterpiece, best quality, 1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden"
example_titl... | 3,410 | [
[
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0.031280517578125,
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-0.037353515625,
-0.036651611328125,
-0.01... |
BAAI/AltCLIP | 2022-12-26T01:28:32.000Z | [
"transformers",
"pytorch",
"altclip",
"zero-shot-image-classification",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"bilingual",
"en",
"English",
"zh",
"Chinese",
"arxiv:2211.06679",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | BAAI | null | null | BAAI/AltCLIP | 22 | 1,388 | transformers | 2022-11-15T03:22:10 | ---
language: zh
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- bilingual
- en
- English
- zh
- Chinese
inference: false
extra_gated_prompt: |-
One more step before getting this model.
This model is open access and available to all, with a CreativeML OpenRAI... | 8,611 | [
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0.03155517578125,
0.0174102783203125,
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-0.0352783203125,
-0.048736572265625,
0.02... |
theintuitiveye/FantasyMix | 2023-05-16T09:46:26.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"art",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | theintuitiveye | null | null | theintuitiveye/FantasyMix | 38 | 1,387 | diffusers | 2023-01-13T13:21:06 | ---
title: FantasyMix
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 3.11.0
pinned: false
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
- art
inference: true
language:
- en
library_name: diffusers
---
# **FantasyMix**
A versatile NSFW capable model which is particularly good at gene... | 2,277 | [
[
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-0.042755126953125,
-0.0... |
TheBloke/llama2_7b_chat_uncensored-GPTQ | 2023-09-27T12:44:59.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/llama2_7b_chat_uncensored-GPTQ | 54 | 1,387 | transformers | 2023-07-21T23:08:30 | ---
license: other
datasets:
- ehartford/wizard_vicuna_70k_unfiltered
model_name: Llama2 7B Chat Uncensored
base_model: georgesung/llama2_7b_chat_uncensored
inference: false
model_creator: George Sung
model_type: llama
prompt_template: '### HUMAN:
{prompt}
### RESPONSE:
'
quantized_by: TheBloke
---
<!-- head... | 16,155 | [
[
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0.032318115234375,
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sentence-transformers/nq-distilbert-base-v1 | 2022-06-15T21:49:34.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/nq-distilbert-base-v1 | 0 | 1,386 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/nq-distilbert-base-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense ... | 3,689 | [
[
-0.02020263671875,
-0.059783935546875,
0.0206451416015625,
0.0302581787109375,
-0.0187530517578125,
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-0.044586181640625,
-0.0321044921875,
-0.056121826171875,
... |
timm/tf_efficientnet_b0.ap_in1k | 2023-04-27T21:14:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.09665",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b0.ap_in1k | 0 | 1,386 | timm | 2022-12-13T00:01:26 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b0.ap_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with AdvProp (adversarial examples) in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | 4,538 | [
[
-0.029388427734375,
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... |
Yntec/ElldrethsRetroMix_Diffusers | 2023-09-12T02:07:54.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Retro",
"ElldrethsRetroMix_Diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/ElldrethsRetroMix_Diffusers | 1 | 1,386 | diffusers | 2023-07-14T16:18:11 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Retro
- ElldrethsRetroMix_Diffusers
---
# Elldreths Retro Mix
The diffusers version so people can actually try it out.
Original page:
https://civi... | 359 | [
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CouchCat/ma_sa_v7_distil | 2021-02-15T23:19:57.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"sentiment-analysis",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | CouchCat | null | null | CouchCat/ma_sa_v7_distil | 1 | 1,384 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: mit
tags:
- sentiment-analysis
widget:
- text: "I am disappointed in the terrible quality of my dress"
---
### Description
A Sentiment Analysis model trained on customer feedback data using DistilBert.
Possible sentiments are:
* negative
* neutral
* positive
### Usage
```
from transformers ... | 547 | [
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timm/swin_tiny_patch4_window7_224.ms_in22k_ft_in1k | 2023-03-18T04:15:44.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2103.14030",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swin_tiny_patch4_window7_224.ms_in22k_ft_in1k | 0 | 1,383 | timm | 2023-03-18T04:15:31 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for swin_tiny_patch4_window7_224.ms_in22k_ft_in1k
A Swin Transformer image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
-... | 4,523 | [
[
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timm/eva_giant_patch14_clip_224.laion400m_s11b_b41k | 2023-04-10T22:43:56.000Z | [
"open_clip",
"zero-shot-image-classification",
"clip",
"license:mit",
"region:us",
"has_space"
] | zero-shot-image-classification | timm | null | null | timm/eva_giant_patch14_clip_224.laion400m_s11b_b41k | 0 | 1,383 | open_clip | 2023-04-10T22:34:33 | ---
tags:
- zero-shot-image-classification
- clip
library_tag: open_clip
license: mit
---
# Model card for eva_giant_patch14_clip_224.laion400m_s11b_b41k
| 154 | [
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0.0015859... |
Ignatt/sdxl-db-nachito | 2023-08-17T14:42:11.000Z | [
"diffusers",
"text-to-image",
"autotrain",
"has_space",
"region:us"
] | text-to-image | Ignatt | null | null | Ignatt/sdxl-db-nachito | 1 | 1,383 | diffusers | 2023-08-17T14:42:08 |
---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: photo of nachito
tags:
- text-to-image
- diffusers
- autotrain
inference: true
---
# DreamBooth trained by AutoTrain
Text encoder was not trained.
| 229 | [
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-0.002941131591796875,
-0.059753417968... |
zeroshot/bge-large-en-v1.5-sparse | 2023-11-01T17:51:13.000Z | [
"transformers",
"onnx",
"bert",
"feature-extraction",
"sparse sparsity quantized onnx embeddings int8",
"mteb",
"en",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | zeroshot | null | null | zeroshot/bge-large-en-v1.5-sparse | 3 | 1,383 | transformers | 2023-10-03T14:13:35 | ---
license: mit
language:
- en
tags:
- sparse sparsity quantized onnx embeddings int8
- mteb
model-index:
- name: bge-large-en-v1.5-sparse
results:
- task:
type: STS
dataset:
type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd1... | 13,440 | [
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0.023681640625,
0.0293426513671875,
-0.06658935546875,
-0.05865478515625,
-0.049957275390625,
-0.... |
rohtihannam118/my-pet-dog | 2023-10-18T07:16:26.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | rohtihannam118 | null | null | rohtihannam118/my-pet-dog | 0 | 1,382 | diffusers | 2023-10-18T07:05:10 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by rohtihannam118 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](https://hug... | 505 | [
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0.00017726421356201... |
lucadiliello/BLEURT-20 | 2023-01-19T15:56:04.000Z | [
"transformers",
"pytorch",
"bleurt",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | lucadiliello | null | null | lucadiliello/BLEURT-20 | 1 | 1,381 | transformers | 2023-01-19T14:59:41 | This model is based on a custom Transformer model that can be installed with:
```bash
pip install git+https://github.com/lucadiliello/bleurt-pytorch.git
```
Now load the model and make predictions with:
```python
import torch
from bleurt_pytorch import BleurtConfig, BleurtForSequenceClassification, BleurtTokenizer
... | 1,113 | [
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0.0119476318359375,
0.0260162353515625,
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-0.03375244140625,
-0.053375244140625... |
CompVis/ldm-text2im-large-256 | 2023-01-04T23:05:58.000Z | [
"diffusers",
"pytorch",
"text-to-image",
"arxiv:2112.10752",
"license:apache-2.0",
"has_space",
"diffusers:LDMTextToImagePipeline",
"region:us"
] | text-to-image | CompVis | null | null | CompVis/ldm-text2im-large-256 | 28 | 1,380 | diffusers | 2022-07-18T20:58:25 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- text-to-image
---
# High-Resolution Image Synthesis with Latent Diffusion Models (LDM)
**Paper**: [High-Resolution Image Synthesis with Latent Diffusion Models (LDM)s](https://arxiv.org/abs/2112.10752)
**Abstract**:
*By decomposing the image formation process i... | 2,949 | [
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0.0067291259765625,
0.041961669921875,
-0.044097900390625,
-0.0308837890625,
-0.051422119140625,
-0.... |
timm/regnety_006.pycls_in1k | 2023-03-21T06:37:14.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.13678",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/regnety_006.pycls_in1k | 0 | 1,379 | timm | 2023-03-21T06:37:09 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for regnety_006.pycls_in1k
A RegNetY-600MF image classification model. Pretrained on ImageNet-1k by paper authors.
The `timm` RegNet implementation includes a number of enhancements not present in other imp... | 15,491 | [
[
-0.05987548828125,
-0.016693115234375,
-0.011810302734375,
0.036773681640625,
-0.03253173828125,
-0.00791168212890625,
-0.01279449462890625,
-0.038726806640625,
0.075439453125,
0.00611114501953125,
-0.051513671875,
-0.03802490234375,
-0.0478515625,
0.0035228... |
facebook/opt-iml-1.3b | 2023-01-26T01:35:09.000Z | [
"transformers",
"pytorch",
"opt",
"text-generation",
"arxiv:2212.12017",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | facebook | null | null | facebook/opt-iml-1.3b | 27 | 1,378 | transformers | 2023-01-26T00:08:49 | ---
inference: false
tags:
- text-generation
- opt
license: other
commercial: false
---
# OPT-IML
## Model Description
[OPT-IML (OPT + Instruction Meta-Learning)](https://arxiv.org/abs/2212.12017) is a set of instruction-tuned versions of OPT, on a collection of ~2000 NLP tasks gathered from 8 NLP benchmarks, called... | 2,448 | [
[
-0.01509857177734375,
-0.06634521484375,
0.0007190704345703125,
0.0016164779663085938,
0.001102447509765625,
-0.017364501953125,
-0.0199737548828125,
-0.0218505859375,
-0.015869140625,
0.047698974609375,
-0.059906005859375,
-0.033233642578125,
-0.0352783203125,
... |
microsoft/markuplm-base-finetuned-websrc | 2022-09-30T08:57:47.000Z | [
"transformers",
"pytorch",
"markuplm",
"question-answering",
"en",
"dataset:websrc",
"arxiv:2110.08518",
"autotrain_compatible",
"has_space",
"region:us"
] | question-answering | microsoft | null | null | microsoft/markuplm-base-finetuned-websrc | 8 | 1,376 | transformers | 2022-06-14T13:08:06 | ---
language:
- en
datasets:
- websrc
inference: false
---
# MarkupLM, fine-tuned on WebSRC
**Multimodal (text +markup language) pre-training for [Document AI](https://www.microsoft.com/en-us/research/project/document-ai/)**
## Introduction
MarkupLM is a simple but effective multi-modal pre-training method of t... | 946 | [
[
-0.037811279296875,
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0.016632080078125,
-0.0008778572082519531,
-0.0281982421875,
-0.0217132568359375,
0.0012292861938476562,
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-0.04315185546875,
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... |
s-nlp/bart-base-detox | 2023-09-08T08:57:37.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"detoxification",
"en",
"dataset:s-nlp/paradetox",
"license:openrail++",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | s-nlp | null | null | s-nlp/bart-base-detox | 5 | 1,375 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- detoxification
licenses:
- cc-by-nc-sa
license: openrail++
datasets:
- s-nlp/paradetox
---
**Model Overview**
This is the model presented in the paper ["ParaDetox: Detoxification with Parallel Data"](https://aclanthology.org/2022.acl-long.469/).
The model itself is [BART (base)](https://... | 2,627 | [
[
-0.00832366943359375,
-0.03472900390625,
0.043060302734375,
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-0.01177978515625,
0.00168609619140625,
-0.007099151611328125,
0.001338958740234375,
0.01461029052734375,
0.048095703125,
-0.030303955078125,
-0.055084228515625,
-0.042633056640625,... |
magorshunov/layoutlm-invoices | 2023-08-03T20:17:02.000Z | [
"transformers",
"pytorch",
"safetensors",
"layoutlm",
"document-question-answering",
"pdf",
"invoices",
"en",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | document-question-answering | magorshunov | null | null | magorshunov/layoutlm-invoices | 45 | 1,375 | transformers | 2023-06-16T17:12:30 | ---
language: en
license: cc-by-nc-sa-4.0
pipeline_tag: document-question-answering
tags:
- layoutlm
- document-question-answering
- pdf
- invoices
widget:
- text: "What is the invoice number?"
src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png"
- text... | 1,560 | [
[
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0.05126953125,
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0.060028076171875,
-0.053253173828125,
-0.034515380859375,
-0.006053924560546875,
... |
timm/efficientnet_b3_pruned.in1k | 2023-04-27T21:10:36.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:2002.08258",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_b3_pruned.in1k | 0 | 1,374 | timm | 2022-12-12T23:56:48 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_b3_pruned.in1k
A EfficientNet image classification model. Knapsack pruned from existing weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | 4,278 | [
[
-0.03375244140625,
-0.037139892578125,
-0.0006380081176757812,
0.010833740234375,
-0.0235595703125,
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-0.0266571044921875,
-0.0257568359375,
0.011077880859375,
0.0268402099609375,
-0.031890869140625,
-0.03900146484375,
-0.05712890625,
-0.009... |
Yntec/DeliberateRemix | 2023-10-30T22:03:19.000Z | [
"diffusers",
"General",
"Anime",
"Art",
"Girl",
"Photorealistic",
"3D",
"XpucT",
"PotatCat",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:cc-by-nc-nd-4.0",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/DeliberateRemix | 1 | 1,374 | diffusers | 2023-08-17T21:57:08 | ---
license: cc-by-nc-nd-4.0
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- Anime
- Art
- Girl
- Photorealistic
- 3D
- XpucT
- PotatCat
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Deliberate Remix
The original plan was to make a Remix of Deliberate 1 and ... | 1,922 | [
[
-0.036712646484375,
-0.032562255859375,
0.043609619140625,
0.0478515625,
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-0.001544952392578125,
-0.0309295654296875,
0.07855224609375,
0.0726318359375,
-0.06695556640625,
-0.019134521484375,
-0.032684326171875,
-0.008... |
mrm8488/t5-base-finetuned-wikiSQL | 2023-04-20T07:37:00.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:wikisql",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | mrm8488 | null | null | mrm8488/t5-base-finetuned-wikiSQL | 46 | 1,373 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- wikisql
widget:
- text: >-
translate English to SQL: How many models were finetuned using BERT as base
model?
license: apache-2.0
---
# T5-base fine-tuned on WikiSQL
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) fine-tuned on [WikiSQL](... | 3,665 | [
[
-0.03179931640625,
-0.036956787109375,
0.002933502197265625,
0.020172119140625,
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-0.01035308837890625,
-0.02734375,
-0.034393310546875,
-0.0004508495330810547,
0.0291900634765625,
-0.052703857421875,
-0.044921875,
-0.0450439453125,
0.0265... |
toloka/t5-large-for-text-aggregation | 2021-09-23T16:40:58.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"text aggregation",
"summarization",
"en",
"dataset:toloka/CrowdSpeech",
"arxiv:1910.10683",
"arxiv:2107.01091",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | summarization | toloka | null | null | toloka/t5-large-for-text-aggregation | 6 | 1,373 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- text aggregation
- summarization
license: apache-2.0
datasets:
- toloka/CrowdSpeech
metrics:
- wer
---
# T5 Large for Text Aggregation
## Model description
This is a T5 Large fine-tuned for crowdsourced text aggregation tasks. The model takes multiple performers' responses and yields a sin... | 3,069 | [
[
-0.04058837890625,
-0.03387451171875,
0.019775390625,
0.0189666748046875,
-0.019378662109375,
-0.0001983642578125,
-0.0211334228515625,
-0.039886474609375,
0.0263671875,
0.023590087890625,
-0.034393310546875,
-0.043853759765625,
-0.05963134765625,
0.02513122... |
bkai-foundation-models/vietnamese-llama2-7b-40GB | 2023-10-26T17:14:18.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"vi",
"en",
"dataset:vietgpt/wikipedia_vi",
"dataset:wikipedia",
"dataset:pg19",
"dataset:mc4",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | bkai-foundation-models | null | null | bkai-foundation-models/vietnamese-llama2-7b-40GB | 11 | 1,373 | transformers | 2023-10-26T02:56:02 | ---
license: other
datasets:
- vietgpt/wikipedia_vi
- wikipedia
- pg19
- mc4
language:
- vi
- en
---
We employed [SentencePiece](https://github.com/google/sentencepiece) to retrain a Vietnamese tokenizer with a vocabulary size of 20K. No Vietnamese word segmentation was used. We then merged this vocabulary with the or... | 3,846 | [
[
-0.0025615692138671875,
-0.068115234375,
0.023651123046875,
0.0232086181640625,
-0.04730224609375,
-0.01042938232421875,
-0.0131683349609375,
-0.0372314453125,
0.01953125,
0.0445556640625,
-0.03839111328125,
-0.041534423828125,
-0.054351806640625,
0.00300598... |
tau/splinter-base-qass | 2021-09-03T08:47:00.000Z | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"SplinterModel",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | tau | null | null | tau/splinter-base-qass | 1 | 1,371 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- splinter
- SplinterModel
license: apache-2.0
---
# Splinter base model (with pretrained QASS-layer weights)
Splinter-base is the pretrained model discussed in the paper [Few-Shot Question Answering by Pretraining Span Selection](https://aclanthology.org/2021.acl-long.239/) (at ACL 2021). Its ... | 2,623 | [
[
-0.0255584716796875,
-0.0665283203125,
0.034942626953125,
-0.0019388198852539062,
-0.025054931640625,
0.011444091796875,
0.01531982421875,
-0.033843994140625,
0.0213165283203125,
0.025238037109375,
-0.06878662109375,
-0.0286102294921875,
-0.0303802490234375,
... |
timm/tf_efficientnetv2_m.in21k | 2023-04-27T22:17:44.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnetv2_m.in21k | 0 | 1,371 | timm | 2022-12-13T00:17:55 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for tf_efficientnetv2_m.in21k
A EfficientNet-v2 image classification model. Trained on ImageNet-21k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model T... | 4,077 | [
[
-0.0275726318359375,
-0.0333251953125,
-0.004093170166015625,
0.007434844970703125,
-0.0230865478515625,
-0.029388427734375,
-0.0210418701171875,
-0.0305328369140625,
0.01146697998046875,
0.0290985107421875,
-0.024200439453125,
-0.04681396484375,
-0.054077148437... |
digiplay/paulEberSRealismMix_v1 | 2023-07-19T19:51:57.000Z | [
"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/paulEberSRealismMix_v1 | 4 | 1,371 | diffusers | 2023-07-19T19:17:09 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/112309?modelVersionId=121233
Sample prompt and image generated by huggingface's API :
photo portrait of 25 yo man, long hair, winter forest on background, ... | 540 | [
[
-0.0726318359375,
-0.047454833984375,
0.031463623046875,
0.039093017578125,
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0.0169219970703125,
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0.0655517578125,
0.0391845703125,
-0.09326171875,
-0.027252197265625,
-0.0226898193359375,
0.0029182... |
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