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/repvgg_a2.rvgg_in1k | 2023-03-22T07:19:36.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2101.03697",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/repvgg_a2.rvgg_in1k | 0 | 37,314 | timm | 2023-03-22T07:19:08 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for repvgg_a2.rvgg_in1k
A RepVGG image classification model. Trained on ImageNet-1k by paper authors.
This model architecture is implemented using `timm`'s flexible [BYOBNet (Bring-Your-Own-Blocks Network)]... | 4,541 | [
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coqui/XTTS-v1 | 2023-10-31T10:06:22.000Z | [
"coqui",
"text-to-speech",
"license:other",
"has_space",
"region:us"
] | text-to-speech | coqui | null | null | coqui/XTTS-v1 | 335 | 37,300 | coqui | 2023-09-13T09:22:03 | ---
license: other
license_name: coqui-public-model-license
license_link: https://coqui.ai/cpml
library_name: coqui
pipeline_tag: text-to-speech
---
# ⓍTTS
ⓍTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. Built on Tortoise,
ⓍTTS has importa... | 3,427 | [
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timm/coat_lite_mini.in1k | 2023-04-24T03:43:16.000Z | [
"timm",
"pytorch",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.06399",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coat_lite_mini.in1k | 0 | 37,293 | timm | 2023-04-24T03:43:09 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for coat_lite_mini.in1k
A CoaT (Co-Scale Conv-Attentional Transformer) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / ... | 2,819 | [
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timm/fbnetc_100.rmsp_in1k | 2023-04-27T21:13:21.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1812.03443",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/fbnetc_100.rmsp_in1k | 0 | 37,275 | timm | 2022-12-12T23:59:14 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for fbnetc_100.rmsp_in1k
A FBNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A simple RmsProp based recipe without RandAugm... | 4,474 | [
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timm/res2net50_14w_8s.in1k | 2023-04-24T00:04:42.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1904.01169",
"license:unknown",
"region:us"
] | image-classification | timm | null | null | timm/res2net50_14w_8s.in1k | 0 | 37,253 | timm | 2023-04-24T00:04:16 | ---
tags:
- image-classification
- timm
library_name: timm
license: unknown
datasets:
- imagenet-1k
---
# Model card for res2net50_14w_8s.in1k
A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
... | 3,670 | [
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timm/poolformer_m36.sail_in1k | 2023-05-05T06:15:32.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2210.13452",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/poolformer_m36.sail_in1k | 0 | 37,119 | timm | 2023-05-05T06:14:32 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for poolformer_m36.sail_in1k
A PoolFormer (a MetaFormer) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbo... | 3,744 | [
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timm/res2next50.in1k | 2023-04-24T00:08:47.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1904.01169",
"license:unknown",
"region:us"
] | image-classification | timm | null | null | timm/res2next50.in1k | 0 | 37,081 | timm | 2023-04-24T00:08:28 | ---
tags:
- image-classification
- timm
library_name: timm
license: unknown
datasets:
- imagenet-1k
---
# Model card for res2next50.in1k
A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mo... | 3,646 | [
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timm/rexnet_100.nav_in1k | 2023-03-20T20:35:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2007.00992",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/rexnet_100.nav_in1k | 0 | 36,988 | timm | 2023-03-20T20:35:20 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for rexnet_100.nav_in1k
A ReXNet image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Pa... | 4,572 | [
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timm/spnasnet_100.rmsp_in1k | 2023-04-27T21:14:40.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1904.02877",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/spnasnet_100.rmsp_in1k | 0 | 36,967 | timm | 2022-12-13T00:01:11 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for spnasnet_100.rmsp_in1k
A SPNasNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A simple RmsProp based recipe without Ran... | 4,528 | [
[
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timm/resnest101e.in1k | 2023-04-23T23:37:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2004.08955",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnest101e.in1k | 0 | 36,948 | timm | 2023-04-23T23:36:40 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for resnest101e.in1k
A ResNeSt (ResNet based architecture with Split Attention) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classifi... | 3,739 | [
[
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timm/dla102.in1k | 2023-04-24T21:14:22.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1707.06484",
"license:bsd-3-clause",
"region:us"
] | image-classification | timm | null | null | timm/dla102.in1k | 0 | 36,941 | timm | 2023-04-24T19:35:50 | ---
tags:
- image-classification
- timm
library_name: timm
license: bsd-3-clause
datasets:
- imagenet-1k
---
# Model card for dla102.in1k
A DLA (Deep Layer Aggregation) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **M... | 3,590 | [
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intfloat/e5-base-v2 | 2023-09-27T10:13:27.000Z | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"mteb",
"Sentence Transformers",
"sentence-similarity",
"en",
"arxiv:2212.03533",
"arxiv:2104.08663",
"arxiv:2210.07316",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | intfloat | null | null | intfloat/e5-base-v2 | 57 | 36,915 | sentence-transformers | 2023-05-19T07:21:14 | ---
tags:
- mteb
- Sentence Transformers
- sentence-similarity
- sentence-transformers
model-index:
- name: e5-base-v2
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
rev... | 67,561 | [
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timm/res2net101_26w_4s.in1k | 2023-04-24T00:07:55.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1904.01169",
"license:unknown",
"region:us"
] | image-classification | timm | null | null | timm/res2net101_26w_4s.in1k | 0 | 36,904 | timm | 2023-04-24T00:07:15 | ---
tags:
- image-classification
- timm
library_name: timm
license: unknown
datasets:
- imagenet-1k
---
# Model card for res2net101_26w_4s.in1k
A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone... | 3,674 | [
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timm/ese_vovnet19b_dw.ra_in1k | 2023-04-21T23:12:00.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1904.09730",
"arxiv:1911.06667",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/ese_vovnet19b_dw.ra_in1k | 0 | 36,879 | timm | 2023-04-21T23:11:53 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for ese_vovnet19b_dw.ra_in1k
A VoVNet-v2 image classification model. Pretrained on ImageNet-1k in `timm` by Ross Wightman using RandAugment `RA` recipe. Related to `B` recipe in [ResNet Strikes Back]... | 4,400 | [
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Habana/gpt2 | 2023-10-26T15:17:37.000Z | [
"optimum_habana",
"license:apache-2.0",
"region:us"
] | null | Habana | null | null | Habana/gpt2 | 0 | 36,779 | null | 2022-05-24T12:41:41 | ---
license: apache-2.0
---
[Optimum Habana](https://github.com/huggingface/optimum-habana) is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU).
It provides a set of tools enabling easy and fast model loading, training and inference on single- and multi-HPU... | 1,961 | [
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Yntec/photoMovieRealistic | 2023-08-05T08:48:07.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"MagicArt35",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/photoMovieRealistic | 10 | 36,741 | diffusers | 2023-08-05T07:31:21 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- MagicArt35
---
# Photo Movie Realistic
Original page:
https://civitai.com/models/95413/photo-movie-realistic
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hf-internal-testing/tiny-vilt-random-vqa | 2022-05-16T14:49:45.000Z | [
"transformers",
"pytorch",
"vilt",
"visual-question-answering",
"arxiv:2102.03334",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | visual-question-answering | hf-internal-testing | null | null | hf-internal-testing/tiny-vilt-random-vqa | 0 | 36,713 | transformers | 2022-05-15T15:23:27 | ---
license: apache-2.0
---
A tiny randomly-initialized [ViLT](https://arxiv.org/abs/2102.03334) used for unit tests in the Transformers VQA pipeline | 150 | [
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timm/resnext101_32x16d.fb_swsl_ig1b_ft_in1k | 2023-04-05T19:15:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1905.00546",
"arxiv:1611.05431",
"arxiv:1512.03385",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/resnext101_32x16d.fb_swsl_ig1b_ft_in1k | 0 | 36,676 | timm | 2023-04-05T19:13:21 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
---
# Model card for resnext101_32x16d.fb_swsl_ig1b_ft_in1k
A ResNeXt-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
* grouped 3x... | 38,880 | [
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timm/tf_mixnet_l.in1k | 2023-04-27T21:50:04.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1907.09595",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_mixnet_l.in1k | 0 | 36,625 | timm | 2022-12-13T00:21:35 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_mixnet_l.in1k
A MixNet image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image classif... | 3,940 | [
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timm/gernet_l.idstcv_in1k | 2023-03-22T07:15:42.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2006.14090",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/gernet_l.idstcv_in1k | 0 | 36,611 | timm | 2023-03-22T07:15:08 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for gernet_l.idstcv_in1k
A GENet (GPU-Efficient-Networks) image classification model. Trained on ImageNet-1k by paper authors.
This model architecture is implemented using `timm`'s flexible [BYOBNet ... | 4,521 | [
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timm/gmlp_s16_224.ra3_in1k | 2023-03-27T23:01:25.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2105.08050",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/gmlp_s16_224.ra3_in1k | 0 | 36,551 | timm | 2023-03-27T23:01:08 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for gmlp_s16_224.ra3_in1k
A gMLP image classification model. Trained on ImageNet-1k in `timm` by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model St... | 2,934 | [
[
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sentence-transformers/paraphrase-albert-small-v2 | 2022-07-08T04:07:04.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"rust",
"albert",
"feature-extraction",
"sentence-similarity",
"transformers",
"dataset:flax-sentence-embeddings/stackexchange_xml",
"dataset:s2orc",
"dataset:ms_marco",
"dataset:wiki_atomic_edits",
"dataset:snli",
"dataset:multi_nli",
"dataset:e... | sentence-similarity | sentence-transformers | null | null | sentence-transformers/paraphrase-albert-small-v2 | 4 | 36,479 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
datasets:
- flax-sentence-embeddings/stackexchange_xml
- s2orc
- ms_marco
- wiki_atomic_edits
- snli
- multi_nli
- embedding-data/altlex
- embedding-data/simple-wiki
- embedd... | 4,026 | [
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charactr/vocos-encodec-24khz | 2023-10-17T14:09:41.000Z | [
"pytorch",
"arxiv:2306.00814",
"license:mit",
"has_space",
"region:us"
] | null | charactr | null | null | charactr/vocos-encodec-24khz | 5 | 36,464 | null | 2023-06-11T16:41:12 | ---
license: mit
---
# Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis
[Audio samples](https://charactr-platform.github.io/vocos/) |
Paper [[abs]](https://arxiv.org/abs/2306.00814) [[pdf]](https://arxiv.org/pdf/2306.00814.pdf)
Vocos is a fast neural vocod... | 2,226 | [
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lllyasviel/control_v11f1e_sd15_tile | 2023-05-04T18:51:13.000Z | [
"diffusers",
"art",
"controlnet",
"stable-diffusion",
"controlnet-v1-1",
"image-to-image",
"arxiv:2302.05543",
"license:openrail",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | image-to-image | lllyasviel | null | null | lllyasviel/control_v11f1e_sd15_tile | 42 | 36,462 | diffusers | 2023-05-04T18:42:24 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
- controlnet-v1-1
- image-to-image
duplicated_from: ControlNet-1-1-preview/control_v11f1e_sd15_tile
---
# Controlnet - v1.1 - *Tile Version*
**Controlnet v1.1** was released in [lllyasviel/ControlNet-v1-1](htt... | 15,797 | [
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timm/eca_botnext26ts_256.c1_in1k | 2023-04-26T16:09:31.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2101.11605",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/eca_botnext26ts_256.c1_in1k | 0 | 36,454 | timm | 2023-04-26T16:09:12 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for eca_botnext26ts_256.c1_in1k
A BotNet image classification model (with Efficient channel attention, based on ResNeXt architecture). Trained on ImageNet-1k in `timm` by Ross Wightman.
NOTE: this m... | 5,385 | [
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timm/inception_v3.gluon_in1k | 2023-04-25T21:28:50.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1512.00567",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/inception_v3.gluon_in1k | 0 | 36,422 | timm | 2023-04-25T21:28:32 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for inception_v3.gluon_in1k
A Inception-v3 image classification model. Trained on ImageNet-1k by MxNet GLUON authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **M... | 4,076 | [
[
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timm/eca_halonext26ts.c1_in1k | 2023-04-26T16:09:44.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2103.12731",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/eca_halonext26ts.c1_in1k | 0 | 36,415 | timm | 2023-04-26T16:09:32 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for eca_halonext26ts.c1_in1k
A HaloNet image classification model (with Efficient channel attention, based on ResNeXt architecture). Trained on ImageNet-1k in `timm` by Ross Wightman.
NOTE: this mod... | 5,431 | [
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timm/gmixer_24_224.ra3_in1k | 2023-03-27T23:01:06.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/gmixer_24_224.ra3_in1k | 0 | 36,359 | timm | 2023-03-27T23:00:47 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for gmixer_24_224.ra3_in1k
A G-Mixer image classification model. Trained on ImageNet-1k in `timm` by Ross Wightman. This is a custom `timm` model variant based on MLP-Mixer but using SwiGLU.
## Model... | 2,740 | [
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-0.06011962890625... |
microsoft/biogpt | 2023-02-03T09:28:24.000Z | [
"transformers",
"pytorch",
"biogpt",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | microsoft | null | null | microsoft/biogpt | 175 | 36,333 | transformers | 2022-11-20T13:20:45 | ---
language: en
license: mit
widget:
- text: "COVID-19 is"
---
## BioGPT
Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language... | 5,916 | [
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timm/selecsls42b.in1k | 2023-04-25T00:28:59.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1907.00837",
"license:cc-by-4.0",
"region:us"
] | image-classification | timm | null | null | timm/selecsls42b.in1k | 0 | 36,308 | timm | 2023-04-25T00:28:28 | ---
tags:
- image-classification
- timm
library_name: timm
license: cc-by-4.0
datasets:
- imagenet-1k
---
# Model card for selecsls42b.in1k
A SelecSLS image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- ... | 3,962 | [
[
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allenai/specter | 2023-10-18T04:19:07.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"en",
"dataset:SciDocs",
"arxiv:2004.07180",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | allenai | null | null | allenai/specter | 54 | 36,290 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail: "https://camo.githubusercontent.com/7d080b7a769f7fdf64ac0ebeb47b039cb50be35287e3071f9d633f0fe33e7596/68747470733a2f2f692e6962622e636f2f33544331576d472f737065637465722d6c6f676f2d63726f707065642e706e67"
license: apache-2.0
datasets:
- SciDocs
metrics:
- F1
- accuracy
- map
- ndcg
---
## SPECT... | 1,160 | [
[
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airesearch/wangchanberta-base-att-spm-uncased | 2023-03-19T02:31:42.000Z | [
"transformers",
"pytorch",
"safetensors",
"camembert",
"fill-mask",
"th",
"arxiv:1907.11692",
"arxiv:1801.06146",
"arxiv:1808.06226",
"arxiv:2101.09635",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | airesearch | null | null | airesearch/wangchanberta-base-att-spm-uncased | 23 | 36,286 | transformers | 2022-03-02T23:29:05 | ---
language: th
widget:
- text: "ผู้ใช้งานท่าอากาศยานนานาชาติ<mask>มีกว่าสามล้านคน<pad>"
---
# WangchanBERTa base model: `wangchanberta-base-att-spm-uncased`
<br>
Pretrained RoBERTa BASE model on assorted Thai texts (78.5 GB).
The script and documentation can be found at [this repository](https://github.com/vistec-... | 5,654 | [
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timm/convit_base.fb_in1k | 2023-04-24T04:14:31.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2103.10697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convit_base.fb_in1k | 0 | 36,195 | timm | 2023-04-24T04:13:12 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convit_base.fb_in1k
A ConViT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
... | 2,787 | [
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deepset/deberta-v3-base-squad2 | 2023-09-26T08:17:16.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"question-answering",
"deberta",
"deberta-v3",
"en",
"dataset:squad_v2",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | deepset | null | null | deepset/deberta-v3-base-squad2 | 16 | 36,181 | transformers | 2022-07-22T12:54:36 | ---
language: en
license: cc-by-4.0
tags:
- deberta
- deberta-v3
datasets:
- squad_v2
base_model: microsoft/deberta-v3-base
model-index:
- name: deepset/deberta-v3-base-squad2
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_v2
type: squad_v2
... | 7,719 | [
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timm/volo_d1_224.sail_in1k | 2023-04-13T05:52:29.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2106.13112",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/volo_d1_224.sail_in1k | 1 | 36,075 | timm | 2023-04-13T05:51:34 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for volo_d1_224.sail_in1k
A VOLO (Vision Outlooker) image classification model. Trained on ImageNet-1k with token labelling by paper authors.
## Model Details
- **Model Type:** Image classification /... | 2,597 | [
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dangvantuan/sentence-camembert-large | 2023-09-12T11:38:28.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"camembert",
"feature-extraction",
"Text",
"Sentence Similarity",
"Sentence-Embedding",
"camembert-large",
"sentence-similarity",
"fr",
"dataset:stsb_multi_mt",
"arxiv:1908.10084",
"license:apache-2.0",
"model-index",
"endpoints_compati... | sentence-similarity | dangvantuan | null | null | dangvantuan/sentence-camembert-large | 36 | 36,048 | transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
language: fr
datasets:
- stsb_multi_mt
tags:
- Text
- Sentence Similarity
- Sentence-Embedding
- camembert-large
license: apache-2.0
model-index:
- name: sentence-camembert-large by Van Tuan DANG
results:
- task:
name: Sentence-Embedding
type: Text Similarity
d... | 5,243 | [
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0.0321044921875,
0.015472412109375,
-0.0249176025390625,
-0.044281005859375,
-0.051788330078125,
0.00... |
timm/nest_base_jx.goog_in1k | 2023-04-23T23:11:41.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2105.12723",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/nest_base_jx.goog_in1k | 0 | 36,028 | timm | 2023-04-23T23:10:38 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for nest_base_jx.goog_in1k
A NesT image classification model. Trained on ImageNet-1k by paper authors in JAX. Ported to PyTorch by Alexander Soare.
## Model Details
- **Model Type:** Image classific... | 3,779 | [
[
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0.006145477294921875,
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0.000019371509552001953,
0.026824951171875,
-0.042327880859375,
-0.05987548828125,
-0.05633544... |
huggyllama/llama-30b | 2023-04-07T15:50:57.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | huggyllama | null | null | huggyllama/llama-30b | 37 | 35,991 | transformers | 2023-04-04T00:50:30 | ---
license: other
---
This contains the weights for the LLaMA-30b model. This model is under a non-commercial license (see the LICENSE file).
You should only use this repository if you have been granted access to the model by filling out [this form](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR... | 473 | [
[
-0.0101470947265625,
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0.0236053466796875,
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0.0240325927734375,
0.055694580078125,
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0.... |
timm/lcnet_050.ra2_in1k | 2023-04-27T22:48:56.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2109.15099",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/lcnet_050.ra2_in1k | 0 | 35,905 | timm | 2022-12-16T05:37:27 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for lcnet_050.ra2_in1k
A LCNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA2` recipe. Inspired by and evolve... | 4,706 | [
[
-0.032989501953125,
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Helsinki-NLP/opus-mt-en-hi | 2023-08-16T11:29:49.000Z | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"hi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-en-hi | 19 | 35,773 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
- hi
tags:
- translation
license: apache-2.0
---
### eng-hin
* source group: English
* target group: Hindi
* OPUS readme: [eng-hin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hin/README.md)
* model: transformer-align
* source language(s): eng
* target language(... | 2,137 | [
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0... |
guillaumekln/faster-whisper-tiny.en | 2023-05-12T18:56:53.000Z | [
"ctranslate2",
"audio",
"automatic-speech-recognition",
"en",
"license:mit",
"region:us"
] | automatic-speech-recognition | guillaumekln | null | null | guillaumekln/faster-whisper-tiny.en | 2 | 35,599 | ctranslate2 | 2023-03-23T10:17:41 | ---
language:
- en
tags:
- audio
- automatic-speech-recognition
license: mit
library_name: ctranslate2
---
# Whisper tiny.en model for CTranslate2
This repository contains the conversion of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) to the [CTranslate2](https://github.com/OpenNMT/CT... | 1,328 | [
[
0.0015811920166015625,
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bigcode/starpii | 2023-07-24T09:43:04.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"code",
"dataset:bigcode/pii-annotated-toloka-donwsample-emails",
"dataset:bigcode/pseudo-labeled-python-data-pii-detection-filtered",
"arxiv:2301.03988",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | bigcode | null | null | bigcode/starpii | 76 | 35,590 | transformers | 2023-04-23T16:12:27 | ---
datasets:
- bigcode/pii-annotated-toloka-donwsample-emails
- bigcode/pseudo-labeled-python-data-pii-detection-filtered
metrics:
- f1
pipeline_tag: token-classification
language:
- code
extra_gated_prompt: >-
## Terms of Use for the model
This is an NER model trained to detect Personal Identifiable Information... | 6,823 | [
[
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0.015838623046875,
0.0341796875,
-0.034820556640625,
-0.04742431640625,
-0.050415039062... |
facebook/wmt19-ru-en | 2023-03-16T20:03:21.000Z | [
"transformers",
"pytorch",
"safetensors",
"fsmt",
"text2text-generation",
"translation",
"wmt19",
"facebook",
"ru",
"en",
"dataset:wmt19",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | facebook | null | null | facebook/wmt19-ru-en | 14 | 35,521 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
- en
tags:
- translation
- wmt19
- facebook
license: apache-2.0
datasets:
- wmt19
metrics:
- bleu
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
---
# FSMT
## Model description
This is a ported version of [fairseq wmt19 transformer](https://github.com/pytorch/fairseq/blob/master/... | 3,434 | [
[
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... |
cl-tohoku/bert-base-japanese-v2 | 2021-09-23T13:45:31.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ja",
"dataset:wikipedia",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | cl-tohoku | null | null | cl-tohoku/bert-base-japanese-v2 | 20 | 35,420 | transformers | 2022-03-02T23:29:05 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
widget:
- text: 東北大学で[MASK]の研究をしています。
---
# BERT base Japanese (unidic-lite with whole word masking, jawiki-20200831)
This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japanese language.
This version of the model pr... | 2,587 | [
[
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timm/eva02_base_patch14_448.mim_in22k_ft_in22k_in1k | 2023-03-31T05:45:17.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2303.11331",
"arxiv:2303.15389",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva02_base_patch14_448.mim_in22k_ft_in22k_in1k | 0 | 35,030 | timm | 2023-03-31T04:17:36 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for eva02_base_patch14_448.mim_in22k_ft_in22k_in1k
An EVA02 image classification model. Pretrained on ImageNet-22k with masked image modeling (using EVA-CLIP as a MIM teacher) and fine-tuned o... | 5,438 | [
[
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-0.043243408203125... |
bigcode/gpt_bigcode-santacoder | 2023-06-08T09:20:22.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_bigcode",
"text-generation",
"code",
"dataset:bigcode/the-stack",
"license:openrail",
"model-index",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | bigcode | null | null | bigcode/gpt_bigcode-santacoder | 21 | 34,770 | transformers | 2023-04-06T01:35:04 | ---
license: openrail
datasets:
- bigcode/the-stack
language:
- code
programming_language:
- Java
- JavaScript
- Python
pipeline_tag: text-generation
inference: false
model-index:
- name: SantaCoder
results:
- task:
type: text-generation
dataset:
type: nuprl/MultiPL-E
name: MultiPL HumanEval... | 6,802 | [
[
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0.00023508071899414062,
0.0193939208984375,
-0.040435791015625,
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-0.04885864257812... |
julien-c/dummy-unknown | 2021-05-20T17:31:14.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"ci",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | julien-c | null | null | julien-c/dummy-unknown | 0 | 34,760 | transformers | 2022-03-02T23:29:05 | ---
tags:
- ci
---
## Dummy model used for unit testing and CI
```python
import json
import os
from transformers import RobertaConfig, RobertaForMaskedLM, TFRobertaForMaskedLM
DIRNAME = "./dummy-unknown"
config = RobertaConfig(10, 20, 1, 1, 40)
model = RobertaForMaskedLM(config)
model.save_pretrained(DIRNAME)
t... | 1,114 | [
[
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0.025177001953125,
-0.032135009765625,
-0.038726806640625,
-0.030181884765625,
0.... |
lllyasviel/sd-controlnet-canny | 2023-05-01T19:33:49.000Z | [
"diffusers",
"art",
"controlnet",
"stable-diffusion",
"image-to-image",
"arxiv:2302.05543",
"license:openrail",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | image-to-image | lllyasviel | null | null | lllyasviel/sd-controlnet-canny | 104 | 34,732 | diffusers | 2023-02-24T06:55:23 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
- image-to-image
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/canny-edge.jpg
prompt: Girl with Pearl Earring
---
# Controlnet - *Canny Version*
ControlNet is a neural netw... | 11,661 | [
[
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-0.0031... |
sentence-transformers/distilbert-base-nli-stsb-mean-tokens | 2022-06-15T20:07:20.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/distilbert-base-nli-stsb-mean-tokens | 10 | 34,646 | 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... | 4,010 | [
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0.0095291137695312... |
Helsinki-NLP/opus-mt-tc-big-en-ar | 2023-10-10T10:22:24.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"opus-mt-tc",
"ar",
"en",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-tc-big-en-ar | 9 | 34,502 | transformers | 2022-04-13T13:38:54 | ---
language:
- ar
- en
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-en-ar
results:
- task:
name: Translation eng-ara
type: translation
args: eng-ara
dataset:
name: flores101-devtest
type: flores_101
args: eng ara devtest
metrics... | 6,590 | [
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... |
EleutherAI/polyglot-ko-1.3b | 2023-06-07T05:03:00.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"ko",
"arxiv:2104.09864",
"arxiv:2204.04541",
"arxiv:2306.02254",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/polyglot-ko-1.3b | 52 | 34,499 | transformers | 2022-09-15T06:10:18 | ---
language:
- ko
tags:
- pytorch
- causal-lm
license: apache-2.0
---
# Polyglot-Ko-1.3B
## Model Description
Polyglot-Ko is a series of large-scale Korean autoregressive language models made by the EleutherAI polyglot team.
| Hyperparameter | Value ... | 15,508 | [
[
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google/t5-v1_1-xxl | 2023-01-24T16:52:41.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2002.05202",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | google | null | null | google/t5-v1_1-xxl | 21 | 34,401 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- c4
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) Version 1.1
## Version 1.1
[T5 Version 1.1](https://github.com/google-research/text-to-text-transfer-transformer/blob/master/released_checkpoints.md#t511) includes the f... | 2,673 | [
[
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pyannote/voice-activity-detection | 2023-08-30T15:43:42.000Z | [
"pyannote-audio",
"pyannote",
"pyannote-audio-pipeline",
"audio",
"voice",
"speech",
"speaker",
"voice-activity-detection",
"automatic-speech-recognition",
"dataset:ami",
"dataset:dihard",
"dataset:voxconverse",
"license:mit",
"has_space",
"region:us"
] | automatic-speech-recognition | pyannote | null | null | pyannote/voice-activity-detection | 109 | 34,392 | pyannote-audio | 2022-03-02T23:29:05 | ---
tags:
- pyannote
- pyannote-audio
- pyannote-audio-pipeline
- audio
- voice
- speech
- speaker
- voice-activity-detection
- automatic-speech-recognition
datasets:
- ami
- dihard
- voxconverse
license: mit
extra_gated_prompt: "The collected information will help acquire a better knowledge of pyannote.audio userbase ... | 2,594 | [
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princeton-nlp/unsup-simcse-bert-base-uncased | 2022-11-11T20:04:07.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"arxiv:2104.08821",
"arxiv:1910.09700",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | princeton-nlp | null | null | princeton-nlp/unsup-simcse-bert-base-uncased | 2 | 34,385 | transformers | 2022-03-02T23:29:05 | ---
tags:
- feature-extraction
- bert
---
# Model Card for unsup-simcse-bert-base-uncased
# Model Details
## Model Description
More information needed
- **Developed by:** Princeton NLP group
- **Shared by [Optional]:** Hugging Face
- **Model type:** Feature Extraction
- **Language(s) (NLP):** More information... | 5,306 | [
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flair/ner-english-large | 2021-05-08T15:36:27.000Z | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"en",
"dataset:conll2003",
"arxiv:2011.06993",
"has_space",
"region:us"
] | token-classification | flair | null | null | flair/ner-english-large | 32 | 34,276 | flair | 2022-03-02T23:29:05 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: en
datasets:
- conll2003
widget:
- text: "George Washington went to Washington"
---
## English NER in Flair (large model)
This is the large 4-class NER model for English that ships with [Flair](https://github.com/flairNLP/flair/).
F1-Score: *... | 3,632 | [
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Helsinki-NLP/opus-mt-en-ar | 2023-08-16T11:28:58.000Z | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-en-ar | 15 | 34,242 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
- ar
tags:
- translation
license: apache-2.0
---
### eng-ara
* source group: English
* target group: Arabic
* OPUS readme: [eng-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ara/README.md)
* model: transformer
* source language(s): eng
* target language(s): a... | 2,274 | [
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... |
KoboldAI/GPT-J-6B-Janeway | 2022-03-20T12:59:44.000Z | [
"transformers",
"pytorch",
"gptj",
"text-generation",
"en",
"arxiv:2101.00027",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/GPT-J-6B-Janeway | 11 | 34,195 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: mit
---
# GPT-J 6B - Janeway
## Model Description
GPT-J 6B-Janeway is a finetune created using EleutherAI's GPT-J 6B model.
## Training data
The training data contains around 2210 ebooks, mostly in the sci-fi and fantasy genres. The dataset is based on the same dataset used by GPT-Neo-... | 2,823 | [
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... |
stabilityai/sd-x2-latent-upscaler | 2023-06-05T16:28:02.000Z | [
"diffusers",
"stable-diffusion",
"license:openrail++",
"has_space",
"diffusers:StableDiffusionLatentUpscalePipeline",
"region:us"
] | null | stabilityai | null | null | stabilityai/sd-x2-latent-upscaler | 145 | 34,118 | diffusers | 2023-02-03T11:24:02 | ---
license: openrail++
tags:
- stable-diffusion
inference: false
---
# Stable Diffusion x2 latent upscaler model card
This model card focuses on the latent diffusion-based upscaler developed by [Katherine Crowson](https://github.com/crowsonkb/k-diffusion)
in collaboration with [Stability AI](https://stability.ai/).... | 7,687 | [
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Qiliang/bart-large-cnn-samsum-ChatGPT_v3 | 2022-12-13T17:45:10.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | Qiliang | null | null | Qiliang/bart-large-cnn-samsum-ChatGPT_v3 | 26 | 34,079 | transformers | 2022-12-13T17:32:47 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bart-large-cnn-samsum-ChatGPT_v3
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. -->
# bart-larg... | 1,091 | [
[
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0.0372314453125,
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-0.03656005859375,
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-0... |
JujoHotaru/lora | 2023-11-06T15:57:06.000Z | [
"diffusers",
"art",
"stable-diffusion",
"lora",
"text-to-image",
"ja",
"license:mit",
"license:openrail",
"region:us"
] | text-to-image | JujoHotaru | null | null | JujoHotaru/lora | 169 | 33,825 | diffusers | 2023-07-10T11:56:44 | ---
license: [mit, openrail]
language:
- ja
tags:
- art
- stable-diffusion
- lora
- text-to-image
- diffusers
---
# 
- 十条蛍（Hotaru Jujo）の作成したLoRAを配布しています。
- You can download Hotaru Jujo's LoRA collection from this repo.
- [作者プロフィール / Author's profile](profile.md)
- すべての... | 17,693 | [
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0.03... |
facebook/wav2vec2-large-960h-lv60-self | 2022-05-23T16:13:42.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"audio",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"arxiv:2010.11430",
"arxiv:2006.11477",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us... | automatic-speech-recognition | facebook | null | null | facebook/wav2vec2-large-960h-lv60-self | 92 | 33,765 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
license: apache-2.0
model-index:
- name: wav2vec2-large-960h-lv60
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: LibriS... | 4,471 | [
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-0.0267... |
guillaumekln/faster-whisper-tiny | 2023-05-12T18:57:08.000Z | [
"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-tiny | 5 | 33,742 | ctranslate2 | 2023-03-23T10:14:28 | ---
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
-... | 1,996 | [
[
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0.0467529296875,
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-0.036651611328125,
-0.036407470703125,
-0.0... |
THUDM/chatglm2-6b-32k | 2023-10-12T20:38:40.000Z | [
"transformers",
"pytorch",
"chatglm",
"glm",
"thudm",
"custom_code",
"zh",
"en",
"arxiv:2103.10360",
"arxiv:2210.02414",
"arxiv:2306.15595",
"arxiv:1911.02150",
"endpoints_compatible",
"has_space",
"region:us"
] | null | THUDM | null | null | THUDM/chatglm2-6b-32k | 283 | 33,621 | transformers | 2023-07-30T14:16:43 | ---
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
---
# ChatGLM2-6B-32K
<p align="center">
💻 <a href="https://github.com/THUDM/ChatGLM2-6B" target="_blank">Github Repo</a> • 🐦 <a href="https://twitter.com/thukeg" target="_blank">Twitter</a> • 📃 <a href="https://arxiv.org/abs/2103.10360" target="_blank">[GLM@AC... | 6,871 | [
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-0.0... |
timm/dpn107.mx_in1k | 2023-04-21T22:00:16.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1707.01629",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/dpn107.mx_in1k | 0 | 33,489 | timm | 2023-04-21T21:58:56 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for dpn107.mx_in1k
A DPN (Dual-Path Net) image classification model. Trained on ImageNet-1k in MXNet by paper authors and ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image... | 3,415 | [
[
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-0.054473876953125,
... |
timm/levit_128.fb_dist_in1k | 2023-02-03T21:13:20.000Z | [
"timm",
"pytorch",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.01136",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/levit_128.fb_dist_in1k | 0 | 33,482 | timm | 2023-02-03T21:13:15 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for levit_128.fb_dist_in1k
A LeViT image classification model using convolutional mode (using nn.Conv2d and nn.BatchNorm2d). Pretrained on ImageNet-1k using distillation by paper authors.
## Model D... | 4,032 | [
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0.016021728515625,
0.0218658447265625,
-0.0426025390625,
-0.046234130859375,
-0.044342041015625,
-... |
deepset/gbert-base | 2023-05-05T07:00:24.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"fill-mask",
"de",
"dataset:wikipedia",
"dataset:OPUS",
"dataset:OpenLegalData",
"arxiv:2010.10906",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | deepset | null | null | deepset/gbert-base | 27 | 33,400 | transformers | 2022-03-02T23:29:05 | ---
language: de
license: mit
datasets:
- wikipedia
- OPUS
- OpenLegalData
---
# German BERT base
Released, Oct 2020, this is a German BERT language model trained collaboratively by the makers of the original German BERT (aka "bert-base-german-cased") and the dbmdz BERT (aka bert-base-german-dbmdz-cased). In our [pap... | 1,883 | [
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0.03564453125,
-0.049530029296875,
-0.056060791015625,
-0.02508544921875,
-0.0169... |
nvidia/segformer-b5-finetuned-ade-640-640 | 2022-08-06T10:25:55.000Z | [
"transformers",
"pytorch",
"tf",
"segformer",
"vision",
"image-segmentation",
"dataset:scene_parse_150",
"arxiv:2105.15203",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | nvidia | null | null | nvidia/segformer-b5-finetuned-ade-640-640 | 30 | 33,339 | transformers | 2022-03-02T23:29:05 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- scene_parse_150
widget:
- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg
example_title: House
- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_0... | 3,209 | [
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-0.044830322265625,
-0.05731201171875,
0.00920... |
hakurei/waifu-diffusion | 2023-07-05T16:18:18.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | hakurei | null | null | hakurei/waifu-diffusion | 2,281 | 33,289 | diffusers | 2022-08-30T02:28:33 | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
inference: true
---
# waifu-diffusion v1.4 - Diffusion for Weebs
waifu-diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality anime images through fine-tuning.
![image](https://user-imag... | 3,404 | [
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timm/swin_tiny_patch4_window7_224.ms_in1k | 2023-03-18T04:15:09.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2103.14030",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swin_tiny_patch4_window7_224.ms_in1k | 0 | 33,159 | timm | 2023-03-18T04:14:56 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for swin_tiny_patch4_window7_224.ms_in1k
A Swin Transformer image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbon... | 4,404 | [
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-0.04791259765625,
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timm/mobilevit_s.cvnets_in1k | 2023-04-24T22:23:12.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.02178",
"license:other",
"region:us"
] | image-classification | timm | null | null | timm/mobilevit_s.cvnets_in1k | 2 | 33,149 | timm | 2023-04-24T22:23:00 | ---
tags:
- image-classification
- timm
library_name: timm
license: other
datasets:
- imagenet-1k
---
# Model card for mobilevit_s.cvnets_in1k
A MobileViT image classification model. Trained on ImageNet-1k by paper authors.
See license details at https://github.com/apple/ml-cvnets/blob/main/LICENSE
## Model Details
... | 3,754 | [
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-0... |
jackaduma/SecRoBERTa | 2023-06-26T05:55:27.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"fill-mask",
"exbert",
"security",
"cybersecurity",
"cyber security",
"threat hunting",
"threat intelligence",
"en",
"dataset:APTnotes",
"dataset:Stucco-Data",
"dataset:CASIE",
"license:apache-2.0",
"autotrain_compatible",
"endpo... | fill-mask | jackaduma | null | null | jackaduma/SecRoBERTa | 8 | 33,106 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail: https://github.com/jackaduma
tags:
- exbert
- security
- cybersecurity
- cyber security
- threat hunting
- threat intelligence
license: apache-2.0
datasets:
- APTnotes
- Stucco-Data
- CASIE
---
# SecRoBERTa
This is the pretrained model presented in [SecBERT: A Pretrained Language Model for... | 1,943 | [
[
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google/owlvit-large-patch14 | 2023-10-23T09:20:09.000Z | [
"transformers",
"pytorch",
"owlvit",
"zero-shot-object-detection",
"vision",
"object-detection",
"arxiv:2205.06230",
"license:apache-2.0",
"has_space",
"region:us"
] | object-detection | google | null | null | google/owlvit-large-patch14 | 15 | 33,104 | transformers | 2022-07-05T07:12:49 | ---
license: apache-2.0
tags:
- vision
- object-detection
inference: false
---
# Model Card: OWL-ViT
## Model Details
The OWL-ViT (short for Vision Transformer for Open-World Localization) was proposed in [Simple Open-Vocabulary Object Detection with Vision Transformers](https://arxiv.org/abs/2205.06230) by Matthias... | 5,138 | [
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0.0... |
mosaicml/mpt-7b-chat | 2023-10-30T21:53:43.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"Composer",
"MosaicML",
"llm-foundry",
"custom_code",
"dataset:jeffwan/sharegpt_vicuna",
"dataset:Hello-SimpleAI/HC3",
"dataset:tatsu-lab/alpaca",
"dataset:Anthropic/hh-rlhf",
"dataset:victor123/evol_instruct_70k",
"arxiv:2205.14135",
... | text-generation | mosaicml | null | null | mosaicml/mpt-7b-chat | 490 | 33,038 | transformers | 2023-05-04T23:56:17 | ---
license: cc-by-nc-sa-4.0
datasets:
- jeffwan/sharegpt_vicuna
- Hello-SimpleAI/HC3
- tatsu-lab/alpaca
- Anthropic/hh-rlhf
- victor123/evol_instruct_70k
tags:
- Composer
- MosaicML
- llm-foundry
inference: false
---
# MPT-7B-Chat
MPT-7B-Chat is a chatbot-like model for dialogue generation.
It was built by finetunin... | 8,245 | [
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-0.049957275390625... |
hkunlp/instructor-xl | 2023-01-21T06:33:27.000Z | [
"sentence-transformers",
"pytorch",
"t5",
"text-embedding",
"embeddings",
"information-retrieval",
"beir",
"text-classification",
"language-model",
"text-clustering",
"text-semantic-similarity",
"text-evaluation",
"prompt-retrieval",
"text-reranking",
"feature-extraction",
"sentence-si... | sentence-similarity | hkunlp | null | null | hkunlp/instructor-xl | 412 | 32,783 | sentence-transformers | 2022-12-20T06:07:18 | ---
pipeline_tag: sentence-similarity
tags:
- text-embedding
- embeddings
- information-retrieval
- beir
- text-classification
- language-model
- text-clustering
- text-semantic-similarity
- text-evaluation
- prompt-retrieval
- text-reranking
- sentence-transformers
- feature-extraction
- sentence-similarity
- transfor... | 66,324 | [
[
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0.00... |
THUDM/chatglm3-6b | 2023-11-01T07:55:10.000Z | [
"transformers",
"pytorch",
"chatglm",
"glm",
"thudm",
"custom_code",
"zh",
"en",
"arxiv:2103.10360",
"arxiv:2210.02414",
"endpoints_compatible",
"has_space",
"region:us"
] | null | THUDM | null | null | THUDM/chatglm3-6b | 341 | 32,736 | transformers | 2023-10-25T09:56:41 | ---
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
---
# ChatGLM3-6B
<p align="center">
💻 <a href="https://github.com/THUDM/ChatGLM" target="_blank">Github Repo</a> • 🐦 <a href="https://twitter.com/thukeg" target="_blank">Twitter</a> • 📃 <a href="https://arxiv.org/abs/2103.10360" target="_blank">[GLM@ACL 22]</a... | 5,669 | [
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0.019683837890625,
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timm/fbnetv3_b.ra2_in1k | 2023-04-27T22:48:34.000Z | [
"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_b.ra2_in1k | 0 | 32,633 | timm | 2022-12-16T05:36:34 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for fbnetv3_b.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... | 4,856 | [
[
-0.032440185546875,
-0.0322265625,
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0.0194854736328125,
0.0367431640625,
-0.035797119140625,
-0.048004150390625,
-0.054046630859375,
... |
rinna/japanese-clip-vit-b-16 | 2023-09-09T02:15:59.000Z | [
"transformers",
"pytorch",
"safetensors",
"clip",
"zero-shot-image-classification",
"feature-extraction",
"ja",
"japanese",
"vision",
"arxiv:2103.00020",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | rinna | null | null | rinna/japanese-clip-vit-b-16 | 15 | 32,588 | transformers | 2022-04-27T07:52:33 | ---
language: ja
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
license: apache-2.0
tags:
- feature-extraction
- ja
- japanese
- clip
- vision
---
# rinna/japanese-clip-vit-b-16
This is a Japanese [CLIP (Contrastive Language-Image Pre-Training)](http... | 2,149 | [
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0... |
clefourrier/graphormer-base-pcqm4mv1 | 2023-02-07T16:35:10.000Z | [
"transformers",
"pytorch",
"graphormer",
"graphs",
"graph-ml",
"arxiv:2106.05234",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | graph-ml | clefourrier | null | null | clefourrier/graphormer-base-pcqm4mv1 | 2 | 32,559 | transformers | 2023-01-05T10:12:34 | ---
license: mit
tags:
- graphs
pipeline_tag: graph-ml
---
# Model Card for pcqm4mv1_graphormer_base
The Graphormer is a graph classification model.
# Model Details
## Model Description
The Graphormer is a graph Transformer model, pretrained on PCQM4M-LSC, and which got 1st place on the KDD CUP 2021 (quantum predi... | 2,043 | [
[
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0.04400634765625,
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... |
timm/deit_base_distilled_patch16_224.fb_in1k | 2023-03-28T01:29:31.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2012.12877",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/deit_base_distilled_patch16_224.fb_in1k | 0 | 32,530 | timm | 2023-03-28T01:27:56 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit_base_distilled_patch16_224.fb_in1k
A DeiT image classification model. Trained on ImageNet-1k using distillation tokens by paper authors.
## Model Details
- **Model Type:** Image classificati... | 3,271 | [
[
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... |
nateraw/bert-base-uncased-emotion | 2021-05-20T01:18:38.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"emotion",
"en",
"dataset:emotion",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | nateraw | null | null | nateraw/bert-base-uncased-emotion | 4 | 32,307 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
tags:
- text-classification
- emotion
- pytorch
license: apache-2.0
datasets:
- emotion
metrics:
- accuracy
---
# bert-base-uncased-emotion
## Model description
`bert-base-uncased` fi... | 1,136 | [
[
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0.04791259765625,
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0.042999267578125,
0.0015087127685546875,
-0.04998779296875,
-0.046173095703125,
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... |
Salesforce/blip-itm-large-coco | 2023-08-01T14:48:50.000Z | [
"transformers",
"pytorch",
"tf",
"blip",
"image-text-matching",
"arxiv:2201.12086",
"license:bsd-3-clause",
"endpoints_compatible",
"has_space",
"region:us"
] | null | Salesforce | null | null | Salesforce/blip-itm-large-coco | 0 | 32,228 | transformers | 2022-12-13T11:41:12 | ---
pipeline_tags: 'other'
tags:
- image-text-matching
languages:
- en
license: bsd-3-clause
---
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for BLIP trained on image-text matching - large architecture (with ViT large backbone) trained on C... | 4,823 | [
[
-0.023040771484375,
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-0.0018291473388671875,
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-0.037200927734375,
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0.0216217041015625,
-0.025299072265625,
-0.038177490234375,
-0.03262329101... |
openai-gpt | 2023-04-06T13:42:43.000Z | [
"transformers",
"pytorch",
"tf",
"rust",
"safetensors",
"openai-gpt",
"text-generation",
"en",
"arxiv:1705.11168",
"arxiv:1803.02324",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | null | null | null | openai-gpt | 189 | 32,164 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: mit
---
# OpenAI GPT
## Table of Contents
- [Model Details](#model-details)
- [How To Get Started With the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [Enviro... | 14,077 | [
[
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... |
yahma/llama-7b-hf | 2023-04-08T14:50:03.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | yahma | null | null | yahma/llama-7b-hf | 58 | 31,968 | transformers | 2023-04-08T14:39:35 | ---
license: other
---
LLaMA-7B converted to work with git head Transformers/HuggingFace on April 8, 2023. This version should resolve the EOS token issues.
This is under a special license, please see the LICENSE file for details.
This contains the weights for the LLaMA-7b model. This model is under a non-commercial... | 8,831 | [
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0.008575439453125,
0.031982421875,
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0.016143... |
Yntec/photoMovieX | 2023-08-07T12:33:44.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"MagicArt35",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/photoMovieX | 3 | 31,863 | diffusers | 2023-08-05T09:53:28 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- MagicArt35
---
# Photo Movie X
Preview and prompt:
![sample](https://cdn-uploads.huggingface.co/production/uploads/63239b8370edc53f51cd5d42/GAC3HQ... | 736 | [
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0.045989990234375,
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0.032867431640625,
0.036895751953125,
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-0.0308380126953125,
-0.02142333984375,
-0.00852203... |
timm/mobilenetv3_small_075.lamb_in1k | 2023-04-27T22:49:32.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.02244",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mobilenetv3_small_075.lamb_in1k | 0 | 31,811 | timm | 2022-12-16T05:38:29 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mobilenetv3_small_075.lamb_in1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A LAMB optimizer recipe that... | 4,427 | [
[
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-... |
Hello-SimpleAI/chatgpt-qa-detector-roberta | 2023-01-19T11:02:25.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"chatgpt",
"en",
"dataset:Hello-SimpleAI/HC3",
"arxiv:2301.07597",
"endpoints_compatible",
"region:us",
"has_space"
] | text-classification | Hello-SimpleAI | null | null | Hello-SimpleAI/chatgpt-qa-detector-roberta | 1 | 31,805 | transformers | 2023-01-19T10:29:39 | ---
datasets:
- Hello-SimpleAI/HC3
language:
- en
pipeline_tag: text-classification
tags:
- chatgpt
---
# Model Card for `Hello-SimpleAI/chatgpt-qa-detector-roberta`
This model is trained on `question-answer` pairs of **the filtered full-text** from [Hello-SimpleAI/HC3](https://huggingface.co/datasets/Hello-SimpleAI/... | 1,321 | [
[
-0.036102294921875,
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0.0372314453125,
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0.0290679931640625,
-0.042755126953125,
-0.0304412841796875,
-0.045288085... |
Hello-SimpleAI/chatgpt-detector-roberta-chinese | 2023-01-19T11:02:48.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"chatgpt",
"zh",
"dataset:Hello-SimpleAI/HC3-Chinese",
"arxiv:2301.07597",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | Hello-SimpleAI | null | null | Hello-SimpleAI/chatgpt-detector-roberta-chinese | 14 | 31,743 | transformers | 2023-01-18T16:41:57 | ---
datasets:
- Hello-SimpleAI/HC3-Chinese
language:
- zh
pipeline_tag: text-classification
tags:
- chatgpt
---
# Model Card for `Hello-SimpleAI/chatgpt-detector-roberta-chinese`
This model is trained on **the mix of full-text and splitted sentences** of `answer`s from [Hello-SimpleAI/HC3-Chinese](https://huggingface... | 1,403 | [
[
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1-800-BAD-CODE/xlm-roberta_punctuation_fullstop_truecase | 2023-07-15T20:42:28.000Z | [
"generic",
"onnx",
"nemo",
"text2text-generation",
"punctuation",
"sentence-boundary-detection",
"truecasing",
"true-casing",
"af",
"am",
"ar",
"bg",
"bn",
"de",
"el",
"en",
"es",
"et",
"fa",
"fi",
"fr",
"gu",
"hi",
"hr",
"hu",
"id",
"is",
"it",
"ja",
"kk",
... | text2text-generation | 1-800-BAD-CODE | null | null | 1-800-BAD-CODE/xlm-roberta_punctuation_fullstop_truecase | 21 | 31,726 | generic | 2023-05-07T22:33:05 | ---
license: apache-2.0
library_name: generic
tags:
- text2text-generation
- punctuation
- sentence-boundary-detection
- truecasing
- true-casing
language:
- af
- am
- ar
- bg
- bn
- de
- el
- en
- es
- et
- fa
- fi
- fr
- gu
- hi
- hr
- hu
- id
- is
- it
- ja
- kk
... | 46,586 | [
[
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-0.0164947509765625,
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0.0245819091796875,
0.04022216796875,
-0.0361328125,
-0.045440673828125,
-0.051116943359375,
0.... |
tomh/toxigen_roberta | 2022-05-01T19:42:09.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"en",
"arxiv:2203.09509",
"endpoints_compatible",
"region:us"
] | text-classification | tomh | null | null | tomh/toxigen_roberta | 3 | 31,713 | transformers | 2022-05-01T13:19:41 | ---
language:
- en
tags:
- text-classification
---
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar.
This model comes from the paper [ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection](https://arxiv.org/abs/2203.09509) and can... | 904 | [
[
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pszemraj/grammar-synthesis-small | 2023-04-28T01:45:36.000Z | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"t5",
"text2text-generation",
"grammar",
"spelling",
"punctuation",
"error-correction",
"grammar synthesis",
"FLAN",
"dataset:jfleg",
"arxiv:2107.06751",
"license:cc-by-nc-sa-4.0",
"license:apache-2.0",
"autotrain_compatible",
"endp... | text2text-generation | pszemraj | null | null | pszemraj/grammar-synthesis-small | 4 | 31,698 | transformers | 2022-07-09T23:00:37 | ---
languages:
- en
license:
- cc-by-nc-sa-4.0
- apache-2.0
tags:
- grammar
- spelling
- punctuation
- error-correction
- grammar synthesis
- FLAN
datasets:
- jfleg
widget:
- text: "There car broke down so their hitching a ride to they're class."
example_title: "compound-1"
- text: "i can has cheezburger"
exampl... | 6,876 | [
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0.0201416015625,
-0.05694580078125,
-0.0292205810546875,
-0.03424072265625,
0... |
NoCrypt/SomethingV2_2 | 2023-05-06T03:13:52.000Z | [
"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_2 | 117 | 31,583 | diffusers | 2023-03-08T13:24:01 | ---
license: creativeml-openrail-m
thumbnail: >-
https://huggingface.co/NoCrypt/SomethingV2_2/resolve/main/images/thumbnail.webp
tags:
- stable-diffusion
- text-to-image
- safetensors
- diffusers
inference: true
language:
- en
widget:
- text: >-
masterpiece, masterpiece, masterpiece, best quality, ultra-detai... | 9,110 | [
[
-0.054779052734375,
-0.057952880859375,
0.0147552490234375,
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0.040496826171875,
-0.0565185546875,
-0.043212890625,
-0.0458984375,
0.00915... |
Linaqruf/animagine-xl | 2023-08-21T07:06:06.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"stable-diffusion-xl",
"text-to-image",
"en",
"dataset:Linaqruf/animagine-datasets",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | Linaqruf | null | null | Linaqruf/animagine-xl | 239 | 31,571 | diffusers | 2023-08-04T08:55:23 | ---
license: openrail++
language:
- en
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- stable-diffusion-xl
inference:
parameter:
negative_prompt: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, norma... | 8,277 | [
[
-0.047607421875,
-0.0655517578125,
0.022430419921875,
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-0.05096435546875,
-0.00047... |
cl-tohoku/bert-base-japanese-char-v2 | 2021-09-23T13:45:24.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ja",
"dataset:wikipedia",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | cl-tohoku | null | null | cl-tohoku/bert-base-japanese-char-v2 | 2 | 31,567 | transformers | 2022-03-02T23:29:05 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
widget:
- text: 東北大学で[MASK]の研究をしています。
---
# BERT base Japanese (character-level tokenization with whole word masking, jawiki-20200831)
This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japanese language.
This versio... | 2,572 | [
[
-0.028839111328125,
-0.065673828125,
0.0141754150390625,
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0.035888671875,
0.041900634765625,
-0.053680419921875,
-0.044342041015625,
-0.04766845703125,
-0.0004963... |
IDEA-CCNL/Wenzhong-GPT2-110M | 2023-05-25T09:48:34.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"generate",
"zh",
"arxiv:2209.02970",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | IDEA-CCNL | null | null | IDEA-CCNL/Wenzhong-GPT2-110M | 25 | 31,511 | transformers | 2022-05-23T03:15:36 | ---
language:
- zh
inference:
parameters:
temperature: 0.7
top_p: 0.6
repetition_penalty: 1.1
max_new_tokens: 128
num_return_sequences: 3
do_sample: true
license: apache-2.0
tags:
- generate
- gpt2
widget:
- 北京是中国的
- 西湖的景色
---
# Wenzhong-GPT2-110M
- Main Page:[Fengshenbang](https://f... | 3,271 | [
[
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-0.05255126953125,
0.023468017578125,
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0.0193634033203125,
-0.034881591796875,
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-0.034759521484375,
0.001953... |
Hello-SimpleAI/chatgpt-qa-detector-roberta-chinese | 2023-01-19T11:02:06.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"chatgpt",
"zh",
"dataset:Hello-SimpleAI/HC3-Chinese",
"arxiv:2301.07597",
"endpoints_compatible",
"region:us",
"has_space"
] | text-classification | Hello-SimpleAI | null | null | Hello-SimpleAI/chatgpt-qa-detector-roberta-chinese | 3 | 31,493 | transformers | 2023-01-19T10:46:32 | ---
datasets:
- Hello-SimpleAI/HC3-Chinese
language:
- zh
pipeline_tag: text-classification
tags:
- chatgpt
---
# Model Card for `Hello-SimpleAI/chatgpt-qa-detector-roberta-chinese`
This model is trained on `question-answer` pairs of **the filtered full-text** from [Hello-SimpleAI/HC3-Chinese](https://huggingface.co/... | 1,402 | [
[
-0.031829833984375,
-0.054107666015625,
0.0341796875,
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0.026458740234375,
-0.03924560546875,
-0.032806396484375,
-0.0384521484375,
... |
blanchefort/rubert-base-cased-sentiment-rusentiment | 2023-04-06T04:06:16.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"text-classification",
"sentiment",
"ru",
"dataset:RuSentiment",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | blanchefort | null | null | blanchefort/rubert-base-cased-sentiment-rusentiment | 4 | 31,486 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- sentiment
- text-classification
datasets:
- RuSentiment
---
# RuBERT for Sentiment Analysis
This is a [DeepPavlov/rubert-base-cased-conversational](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational) model trained on [RuSentiment](http://text-machine.cs.uml.edu/projects/ruse... | 1,362 | [
[
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0.01103973388671875,
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-0.052581787109375,
-0.044952392578125,
... |
timm/crossvit_9_240.in1k | 2023-04-24T00:30:01.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2103.14899",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/crossvit_9_240.in1k | 0 | 31,473 | timm | 2023-04-24T00:29:50 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for crossvit_9_240.in1k
A CrossViT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
... | 2,802 | [
[
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huggyllama/llama-13b | 2023-04-07T15:50:53.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | huggyllama | null | null | huggyllama/llama-13b | 119 | 31,396 | transformers | 2023-04-03T23:37:51 | ---
license: other
---
This contains the weights for the LLaMA-13b model. This model is under a non-commercial license (see the LICENSE file).
You should only use this repository if you have been granted access to the model by filling out [this form](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR... | 473 | [
[
-0.00525665283203125,
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0... |
timm/pit_b_224.in1k | 2023-04-26T00:06:43.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2103.16302",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/pit_b_224.in1k | 0 | 31,376 | timm | 2023-04-26T00:05:41 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for pit_b_224.in1k
A PiT (Pooling based Vision Transformer) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature bac... | 3,601 | [
[
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Helsinki-NLP/opus-mt-ine-en | 2023-08-16T11:58:27.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ca",
"es",
"os",
"ro",
"fy",
"cy",
"sc",
"is",
"yi",
"lb",
"an",
"sq",
"fr",
"ht",
"rm",
"ps",
"af",
"uk",
"sl",
"lt",
"bg",
"be",
"gd",
"si",
"en",
"br",
"mk",
"or",
... | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-ine-en | 2 | 31,365 | transformers | 2022-03-02T23:29:04 | ---
language:
- ca
- es
- os
- ro
- fy
- cy
- sc
- is
- yi
- lb
- an
- sq
- fr
- ht
- rm
- ps
- af
- uk
- sl
- lt
- bg
- be
- gd
- si
- en
- br
- mk
- or
- mr
- ru
- fo
- co
- oc
- pl
- gl
- nb
- bn
- id
- hy
- da
- gv
- nl
- pt
- hi
- as
- kw
- ga
- sv
- gu
- wa
- lv
- el
- it
- hr
- ur
- nn
- de
- cs
- ine
tags:
- ... | 13,118 | [
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-0.0233154296875,
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0.... |
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