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/tf_efficientnet_b2.ns_jft_in1k | 2023-04-27T21:18:15.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.04252",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b2.ns_jft_in1k | 0 | 3,143 | timm | 2022-12-13T00:02:26 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b2.ns_jft_in1k
A EfficientNet image classification model. Trained on ImageNet-1k and unlabeled JFT-300m using Noisy Student semi-supervised learning in Tensorflow by paper authors... | 4,598 | [
[
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-0.0260162353515625,
-0.03192138671875,
0.011688232421875,
0.0265960693359375,
-0.025543212890625,
-0.040557861328125,
-0.05471801757812... |
facebook/musicgen-medium | 2023-10-10T11:52:58.000Z | [
"transformers",
"pytorch",
"musicgen",
"text-to-audio",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-audio | facebook | null | null | facebook/musicgen-medium | 40 | 3,143 | transformers | 2023-06-08T17:28:18 | ---
inference: true
tags:
- musicgen
license: cc-by-nc-4.0
pipeline_tag: text-to-audio
widget:
- text: a funky house with 80s hip hop vibes
example_title: Prompt 1
- text: a chill song with influences from lofi, chillstep and downtempo
example_title: Prompt 2
- text: a catchy beat for a podcast intro
... | 12,300 | [
[
-0.041046142578125,
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-0.058197021484375,
-0.02685546875,
0.008796... |
tunib/electra-ko-en-base | 2021-09-28T07:50:21.000Z | [
"transformers",
"pytorch",
"electra",
"pretraining",
"arxiv:2003.10555",
"endpoints_compatible",
"region:us"
] | null | tunib | null | null | tunib/electra-ko-en-base | 8 | 3,140 | transformers | 2022-03-02T23:29:05 | # TUNiB-Electra
We release several new versions of the [ELECTRA](https://arxiv.org/abs/2003.10555) model, which we name TUNiB-Electra. There are two motivations. First, all the existing pre-trained Korean encoder models are monolingual, that is, they have knowledge about Korean only. Our bilingual models are based... | 4,753 | [
[
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0.0258026123046875,
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-0.040496826171875,
0.004... |
nlp-waseda/roberta-large-japanese-seq512 | 2022-10-21T14:49:40.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | nlp-waseda | null | null | nlp-waseda/roberta-large-japanese-seq512 | 2 | 3,136 | transformers | 2022-06-13T09:46:45 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
mask_token: "[MASK]"
widget:
- text: "早稲田 大学 で 自然 言語 処理 を [MASK] する 。"
---
# nlp-waseda/roberta-large-japanese-seq512
## Model description
This is a Japanese RoBERTa large model pretrained on Japanese Wikipedia and the Japanese portion of CC-100 wi... | 2,373 | [
[
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0.... |
jinaai/jina-embedding-b-en-v1 | 2023-10-13T12:44:18.000Z | [
"sentence-transformers",
"pytorch",
"t5",
"finetuner",
"feature-extraction",
"sentence-similarity",
"mteb",
"custom_code",
"en",
"dataset:jinaai/negation-dataset",
"arxiv:2307.11224",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"text-generation-inference",
"region:us"
... | sentence-similarity | jinaai | null | null | jinaai/jina-embedding-b-en-v1 | 4 | 3,136 | sentence-transformers | 2023-07-07T07:51:59 | ---
pipeline_tag: sentence-similarity
tags:
- finetuner
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
datasets:
- jinaai/negation-dataset
language: en
license: apache-2.0
model-index:
- name: jina-embedding-b-en-v1
results:
- task:
type: Classification
dataset:
type: mteb... | 67,583 | [
[
-0.055450439453125,
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0.0205535888671875,
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0.0411376953125,
0.004215240478515625,
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-0.04742431640625,
... |
UBC-NLP/MARBERT | 2022-08-16T21:47:42.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"Arabic BERT",
"MSA",
"Twitter",
"Masked Langauge Model",
"ar",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | UBC-NLP | null | null | UBC-NLP/MARBERT | 15 | 3,135 | transformers | 2022-03-02T23:29:05 | ---
language:
- ar
tags:
- Arabic BERT
- MSA
- Twitter
- Masked Langauge Model
widget:
- text: "اللغة العربية هي لغة [MASK]."
---
<img src="https://raw.githubusercontent.com/UBC-NLP/marbert/main/ARBERT_MARBERT.jpg" alt="drawing" width="200" height="200" align="right"/>
**MARBERT** is one of three models... | 3,976 | [
[
-0.0411376953125,
-0.034393310546875,
0.025360107421875,
0.0230865478515625,
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-0.02764892578125,
-0.03253173828125,
-0.0009551048278808594,
0.0428466796875,
-0.03338623046875,
-0.06494140625,
-0.06591796875,
0.004806... |
Lykon/AbsoluteReality | 2023-08-03T22:13:26.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"photography",
"en",
"license:other",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Lykon | null | null | Lykon/AbsoluteReality | 26 | 3,135 | diffusers | 2023-05-31T21:30:57 | ---
language:
- en
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
- photography
inference: false
---
# AbsoluteReality
## Official Repository
Read more about this model here: https://civitai.com/models/81458
Also please support by giving 5 stars and ... | 598 | [
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0.038055419921875,
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-0.01512908935546875,
-0.013916015625,
-0.... |
TencentARC/t2i-adapter-sketch-sdxl-1.0 | 2023-09-08T14:57:24.000Z | [
"diffusers",
"art",
"t2i-adapter",
"image-to-image",
"stable-diffusion-xl-diffusers",
"stable-diffusion-xl",
"arxiv:2302.08453",
"license:apache-2.0",
"has_space",
"diffusers:T2IAdapter",
"region:us"
] | image-to-image | TencentARC | null | null | TencentARC/t2i-adapter-sketch-sdxl-1.0 | 24 | 3,134 | diffusers | 2023-09-03T14:55:43 | ---
license: apache-2.0
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- art
- t2i-adapter
- image-to-image
- stable-diffusion-xl-diffusers
- stable-diffusion-xl
---
# T2I-Adapter-SDXL - Sketch
T2I Adapter is a network providing additional conditioning to stable diffusion. Each t2i checkpoint takes a diff... | 9,207 | [
[
-0.04559326171875,
-0.0276641845703125,
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-0.033416748046875,
-0.046875,
-0.01103973... |
boris/xlsr-en-punctuation | 2021-07-05T23:33:26.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"en",
"dataset:common_voice",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | boris | null | null | boris/xlsr-en-punctuation | 3 | 3,133 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
license: apache-2.0
model-index:
- name: English XLSR Wav2Vec2 Large 53 with punctuation
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: C... | 5,245 | [
[
-0.017425537109375,
-0.03973388671875,
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0.01100921630859375,
0.0293121337890625,
-0.044708251953125,
-0.053131103515625,
-0.03656005859375... |
megantosh/flair-arabic-multi-ner | 2022-03-09T22:12:22.000Z | [
"flair",
"pytorch",
"Text Classification",
"token-classification",
"sequence-tagger-model",
"ar",
"en",
"dataset:AQMAR",
"dataset:ANERcorp",
"license:apache-2.0",
"region:us"
] | token-classification | megantosh | null | null | megantosh/flair-arabic-multi-ner | 5 | 3,127 | flair | 2022-03-02T23:29:05 | ---
language:
- ar
- en
license: apache-2.0
datasets:
- AQMAR
- ANERcorp
thumbnail: https://www.informatik.hu-berlin.de/en/forschung-en/gebiete/ml-en/resolveuid/a6f82e0d7fa446a59c902cac4cafa9cb/@@images/image/preview
tags:
- flair
- Text Classification
- token-classification
- sequence-tagger-model
metrics:
- f1
widge... | 6,011 | [
[
-0.038726806640625,
-0.058258056640625,
0.0149688720703125,
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0.043487548828125,
0.00951385498046875,
-0.038818359375,
-0.06658935546875,
-0.0562744140625,
... |
TaylorAI/bge-micro-v2 | 2023-10-11T22:34:08.000Z | [
"sentence-transformers",
"pytorch",
"onnx",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"mteb",
"model-index",
"endpoints_compatible",
"region:us"
] | sentence-similarity | TaylorAI | null | null | TaylorAI/bge-micro-v2 | 10 | 3,127 | sentence-transformers | 2023-10-11T05:55:09 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- mteb
model-index:
- name: bge_micro
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)... | 65,544 | [
[
-0.0223541259765625,
-0.054168701171875,
0.0198211669921875,
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-0.017791748046875,
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0.00818634033203125,
0.0246734619140625,
-0.045623779296875,
-0.040252685546875,
-0.0550231933593... |
foduucom/stockmarket-future-prediction | 2023-10-07T06:35:04.000Z | [
"ultralytics",
"tensorboard",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"finance",
"stock market",
"candlesticks",
"pattern recognition",
"option trading",
"chart reader",
"future stock prediction",
"trends prediction",
"en",
"model-index",
"ha... | object-detection | foduucom | null | null | foduucom/stockmarket-future-prediction | 8 | 3,124 | ultralytics | 2023-09-27T09:35:59 | ---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- finance
- stock market
- candlesticks
- pattern recognition
- option trading
- chart reader
- future stock prediction
- trends prediction
library_name: ultralytics
library_version: 8.0.43
inference: false
model-index:
- na... | 6,451 | [
[
-0.009490966796875,
-0.05291748046875,
0.0025482177734375,
-0.036590576171875,
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0.01995849609375,
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0.0247344970703125,
0.03179931640625,
-0.04925537109375,
-0.047698974609375,
-0.03173828125,
-0.01858520... |
iarfmoose/bert-base-cased-qa-evaluator | 2021-05-19T20:15:52.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | iarfmoose | null | null | iarfmoose/bert-base-cased-qa-evaluator | 9 | 3,122 | transformers | 2022-03-02T23:29:05 | # BERT-base-cased-qa-evaluator
This model takes a question answer pair as an input and outputs a value representing its prediction about whether the input was a valid question and answer pair or not. The model is a pretrained [BERT-base-cased](https://huggingface.co/bert-base-cased) with a sequence classification head... | 1,644 | [
[
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0.02069091796875,
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0.0147247314453125,
0.027984619140625,
-0.07037353515625,
-0.01016998291015625,
-0.03167724609375,
-0.00067234... |
stanfordnlp/stanza-fr | 2023-10-02T23:36:26.000Z | [
"stanza",
"token-classification",
"fr",
"license:apache-2.0",
"region:us"
] | token-classification | stanfordnlp | null | null | stanfordnlp/stanza-fr | 3 | 3,118 | stanza | 2022-03-02T23:29:05 | ---
tags:
- stanza
- token-classification
library_name: stanza
language: fr
license: apache-2.0
---
# Stanza model for French (fr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza bring... | 679 | [
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0.041748046875,
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-0.031494140625,
-0.033172607421875,
-0.001184... |
timm/eva02_small_patch14_336.mim_in22k_ft_in1k | 2023-03-31T05:47:17.000Z | [
"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_small_patch14_336.mim_in22k_ft_in1k | 1 | 3,118 | timm | 2023-03-31T04:55:44 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for eva02_small_patch14_336.mim_in22k_ft_in1k
An EVA02 image classification model. Pretrained on ImageNet-22k with masked image modeling (using EVA-CLIP as a MIM teacher) and fine-tuned on Ima... | 5,399 | [
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0.026519775390625,
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-0.051544189453125,
-0.0428466796875,
0.00... |
avichr/heBERT_NER | 2022-01-11T17:00:46.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"arxiv:1810.04805",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | avichr | null | null | avichr/heBERT_NER | 1 | 3,116 | transformers | 2022-03-02T23:29:05 | # HeBERT: Pre-trained BERT for Polarity Analysis and Emotion Recognition
<img align="right" src="https://github.com/avichaychriqui/HeBERT/blob/main/data/heBERT_logo.png?raw=true" width="250">
HeBERT is a Hebrew pretrained language model. It is based on [Google's BERT](https://arxiv.org/abs/1810.04805) architecture and... | 2,521 | [
[
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-0.02215576171875,
0.01065826416015625,
0.0287017822265625,
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-0.0288238525390625,
-0.0307769775390625,
0.0198974609375,
0.00688934326171875,
-0.04376220703125,
-0.05816650390625,
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... |
Lasorco/lametta | 2023-10-11T16:07:44.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"safetensors",
"ja",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | Lasorco | null | null | Lasorco/lametta | 93 | 3,113 | diffusers | 2023-03-28T14:29:55 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
- diffusers
- safetensors
language:
- ja
---
# このモデルは何？
- 個人的な普段遣いのためにマージしたモデルです、癖が強いと思います。
- 頭身低めの女の子を出力するように調整していますので他のモデルより年齢操作の加減が必要かもしれません。また女の子以外の出力には期待しないでください。
- （個人的こだわりで）できるだけ目のハイライトを失わないようにマージしてあります。指の描写にも気を使ったつもりですがプロンプト次第で簡単に破綻します... | 33,506 | [
[
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-0.054962158203125,
0.01947021484375,
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0.00482177734375,
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0.07684326171875,
0.0168914794921875,
-0.05926513671875,
-0.043121337890625,
-0.04278564453125,
0.01558685... |
lllyasviel/control_v11p_sd15_seg | 2023-05-04T18:49:33.000Z | [
"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_v11p_sd15_seg | 7 | 3,108 | diffusers | 2023-04-14T19:23:48 | ---
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_v11p_sd15_seg
---
# Controlnet - v1.1 - *seg Version*
**Controlnet v1.1** is the successor model of [Controlnet v1.0](https://... | 19,448 | [
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-0.0352783203125,
-0.05242919921875,
0.0083... |
Yntec/dreamlike-photoreal-remix | 2023-08-24T00:35:39.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"photorealistic",
"photoreal",
"en",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/dreamlike-photoreal-remix | 0 | 3,101 | diffusers | 2023-08-23T11:09:39 | ---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- photorealistic
- photoreal
- diffusers
language:
- en
---
# Dreamlike Photoreal Remix
A remix to bring what was removed from Dreamlike Photoreal 1.0 to Dreamlike Photoreal 2.0... | 1,378 | [
[
-0.04888916015625,
-0.035186767578125,
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0.0338134765625,
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0.07330322265625,
0.06866455078125,
-0.06085205078125,
-0.037872314453125,
-0.033966064453125,
0.00187492... |
farleyknight-org-username/vit-base-mnist | 2022-08-31T14:55:56.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"vision",
"generated_from_trainer",
"dataset:mnist",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | farleyknight-org-username | null | null | farleyknight-org-username/vit-base-mnist | 5 | 3,095 | transformers | 2022-08-21T16:48:27 | ---
license: apache-2.0
tags:
- image-classification
- vision
- generated_from_trainer
datasets:
- mnist
metrics:
- accuracy
model-index:
- name: vit-base-mnist
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: mnist
type: mnist
config: mnist
... | 1,935 | [
[
-0.03192138671875,
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0.021026611328125,
0.031341552734375,
-0.0487060546875,
-0.0478515625,
-0.050079345703125,
-0.01296... |
sail-rvc/matem | 2023-07-14T07:40:47.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/matem | 0 | 3,095 | transformers | 2023-07-14T07:40:33 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# matem
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:40:47
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into loadabl... | 373 | [
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-0.045196533203125,
-0.03546142578125,
-0.0... |
IDEA-CCNL/Erlangshen-Roberta-110M-NLI | 2023-05-26T06:41:07.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"roberta",
"NLU",
"NLI",
"Chinese",
"zh",
"arxiv:2209.02970",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | IDEA-CCNL | null | null | IDEA-CCNL/Erlangshen-Roberta-110M-NLI | 3 | 3,090 | transformers | 2022-04-19T03:59:55 | ---
language:
- zh
license: apache-2.0
tags:
- roberta
- NLU
- NLI
- Chinese
inference: true
widget:
- text: "今天心情不好[SEP]今天很开心"
---
# Erlangshen-Roberta-110M-NLI
- Main Page:[Fengshenbang](https://fengshenbang-lm.com/)
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
## 简介 Brief Intro... | 3,016 | [
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0.0220184326171875,
-0.04315185546875,
-0.044097900390625,
-0.0266265869140625,
0.004024... |
AIARTCHAN/MIX-Pro-V4 | 2023-04-06T02:07:28.000Z | [
"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/MIX-Pro-V4 | 38 | 3,090 | diffusers | 2023-04-06T01:49:01 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- aiartchan
---
# MIX-Pro-V4
[원본글](https://arca.live/b/aiart/73277342)
[huggingface](https://huggingface.co/GIMG/AIChan_Model/tree/main/Blend/MIX-Pro/V4)
[civitai](https://civitai.com/models/7241)
# Down... | 1,866 | [
[
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0.04388427734375,
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-0.06622314453125,
-0.0325927734375,
-0.0445556640625,
0.0015... |
timm/efficientnet_em.ra2_in1k | 2023-04-27T21:12:04.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2003.02838",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_em.ra2_in1k | 0 | 3,088 | timm | 2022-12-12T23:57:59 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_em.ra2_in1k
A EfficientNet-EdgeTPU image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA2` recipe. I... | 5,021 | [
[
-0.030120849609375,
-0.041229248046875,
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-0.0220489501953125,
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0.01751708984375,
0.024444580078125,
-0.0308685302734375,
-0.040069580078125,
-0.05535888671875,... |
TheBloke/OpenHermes-2-Mistral-7B-AWQ | 2023-10-16T20:25:58.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"en",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/OpenHermes-2-Mistral-7B-AWQ | 12 | 3,079 | transformers | 2023-10-14T08:00:27 | ---
base_model: teknium/OpenHermes-2-Mistral-7B
inference: false
language:
- en
license: apache-2.0
model-index:
- name: OpenHermes-2-Mistral-7B
results: []
model_creator: Teknium
model_name: OpenHermes 2 Mistral 7B
model_type: mistral
prompt_template: '<|im_start|>system
{system_message}<|im_end|>
<|im_start|>... | 25,970 | [
[
-0.0435791015625,
-0.064453125,
0.03167724609375,
0.006900787353515625,
-0.019134521484375,
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0.003509521484375,
-0.0400390625,
-0.00696563720703125,
0.03692626953125,
-0.05126953125,
-0.0457763671875,
-0.023681640625,
-0.00453567504882812... |
stablediffusionapi/counterfeit-v30 | 2023-04-30T11:48:03.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/counterfeit-v30 | 4 | 3,078 | diffusers | 2023-04-30T11:47:10 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# counterfeit-v3.0 API Inference
## Get... | 2,431 | [
[
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0.0338134765625,
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0.053009033203125,
-0.06317138671875,
-0.05145263671875,
-0.0261077880859375,
-0.00822448... |
speechbrain/spkrec-xvect-voxceleb | 2022-06-25T02:56:40.000Z | [
"speechbrain",
"embeddings",
"Speaker",
"Verification",
"Identification",
"pytorch",
"xvectors",
"TDNN",
"audio-classification",
"en",
"dataset:voxceleb",
"arxiv:2106.04624",
"license:apache-2.0",
"has_space",
"region:us"
] | audio-classification | speechbrain | null | null | speechbrain/spkrec-xvect-voxceleb | 28 | 3,076 | speechbrain | 2022-03-02T23:29:05 | ---
language: "en"
thumbnail:
tags:
- embeddings
- Speaker
- Verification
- Identification
- pytorch
- xvectors
- TDNN
- speechbrain
- audio-classification
license: "apache-2.0"
datasets:
- voxceleb
metrics:
- EER
- min_dct
widget:
- example_title: VoxCeleb Speaker id10003
src: https://cdn-media.huggingface.co/speech... | 4,279 | [
[
-0.03167724609375,
-0.042083740234375,
0.0113372802734375,
-0.00569915771484375,
-0.0140838623046875,
-0.0065460205078125,
-0.0308837890625,
-0.0162353515625,
0.020477294921875,
0.0204010009765625,
-0.0367431640625,
-0.05865478515625,
-0.04425048828125,
0.00... |
TheBloke/orca_mini_v3_70B-GPTQ | 2023-09-27T12:45:50.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:psmathur/orca_mini_v1_dataset",
"dataset:ehartford/dolphin",
"arxiv:2306.02707",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/orca_mini_v3_70B-GPTQ | 10 | 3,074 | transformers | 2023-08-16T20:16:59 | ---
language:
- en
license: other
library_name: transformers
datasets:
- psmathur/orca_mini_v1_dataset
- ehartford/dolphin
model_name: Orca Mini v3 70B
base_model: psmathur/orca_mini_v3_70b
inference: false
model_creator: Pankaj Mathur
model_type: llama
pipeline_tag: text-generation
prompt_template: '### System:
{sy... | 20,186 | [
[
-0.037811279296875,
-0.057464599609375,
0.003292083740234375,
0.00782012939453125,
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0.0122833251953125,
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0.0250701904296875,
0.0252532958984375,
-0.046600341796875,
-0.03363037109375,
-0.02194213867187... |
NTQAI/wav2vec2-large-japanese | 2023-02-17T13:07:47.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"ja",
"dataset:common_voice",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | NTQAI | null | null | NTQAI/wav2vec2-large-japanese | 5 | 3,071 | transformers | 2022-03-02T23:29:04 | ---
language: ja
datasets:
- common_voice
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
model-index:
- name: Wav2Vec2 Japanese by NTQAI
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice ja
type: common_... | 5,552 | [
[
-0.025421142578125,
-0.050079345703125,
0.00997161865234375,
0.018463134765625,
-0.01458740234375,
-0.01396942138671875,
-0.03277587890625,
-0.032379150390625,
0.00424957275390625,
0.027069091796875,
-0.048004150390625,
-0.049102783203125,
-0.037689208984375,
... |
Yntec/BeenYou | 2023-09-18T01:59:10.000Z | [
"diffusers",
"Anime",
"Cute",
"Pretty",
"Bradcatt",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/BeenYou | 0 | 3,069 | diffusers | 2023-09-18T00:59:12 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Cute
- Pretty
- Bradcatt
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Been You
Original page: https://civitai.com/models/27688/beenyou
Sample and prompt:
![Sample](https://cdn-... | 714 | [
[
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-0.0711669921875,
0.03338623046875,
0.0220794677734375,
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0.01534271240234375,
-0.040924072265625,
0.07525634765625,
0.040374755859375,
-0.0560302734375,
-0.024627685546875,
-0.046783447265625,
-0.... |
google/long-t5-tglobal-large | 2023-09-11T20:35:44.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"longt5",
"text2text-generation",
"en",
"arxiv:2112.07916",
"arxiv:1912.08777",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | google | null | null | google/long-t5-tglobal-large | 12 | 3,067 | transformers | 2022-04-16T11:20:39 | ---
license: apache-2.0
language: en
---
# LongT5 (transient-global attention, large-sized model)
LongT5 model pre-trained on English language. The model was introduced in the paper [LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://arxiv.org/pdf/2112.07916.pdf) by Guo et al. and first released i... | 3,006 | [
[
-0.036285400390625,
-0.052215576171875,
0.03387451171875,
0.029571533203125,
-0.0163726806640625,
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-0.0254058837890625,
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0.01049041748046875,
0.0180816650390625,
-0.03851318359375,
-0.03900146484375,
-0.0496826171875,
... |
stablediffusionapi/dreamshaper-v7 | 2023-08-30T21:49:53.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/dreamshaper-v7 | 13 | 3,064 | diffusers | 2023-07-03T11:59:52 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
**Important**: This repository is deprecated and it is recommended to instead use the identical repository of the original author here: https://huggingface.co/Lykon/dreams... | 2,675 | [
[
-0.0311737060546875,
-0.050811767578125,
0.034942626953125,
0.0201568603515625,
-0.040252685546875,
-0.00113677978515625,
0.018280029296875,
-0.0452880859375,
0.042572021484375,
0.052001953125,
-0.049163818359375,
-0.05181884765625,
-0.0333251953125,
-0.0010... |
gsdf/Counterfeit-V2.0 | 2023-01-27T16:58:12.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | gsdf | null | null | gsdf/Counterfeit-V2.0 | 455 | 3,062 | diffusers | 2023-01-13T09:36:54 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Counterfeit is anime style Stable Diffusion model.
DreamBooth + Merge Block Weights + Merge LoRA
Please refer to the example below for your prompt.
# Counterfeit-V2.0 e.g.
... | 5,565 | [
[
-0.035614013671875,
-0.07904052734375,
0.0112152099609375,
0.00344085693359375,
-0.047637939453125,
0.0281524658203125,
0.04937744140625,
-0.059539794921875,
0.076171875,
0.04986572265625,
-0.056488037109375,
-0.0255584716796875,
-0.0411376953125,
-0.0000787... |
rinna/youri-7b-chat-gptq | 2023-10-31T00:55:54.000Z | [
"transformers",
"llama",
"text-generation",
"ja",
"en",
"dataset:databricks/databricks-dolly-15k",
"dataset:kunishou/databricks-dolly-15k-ja",
"dataset:izumi-lab/llm-japanese-dataset",
"license:llama2",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | rinna | null | null | rinna/youri-7b-chat-gptq | 10 | 3,062 | transformers | 2023-10-30T15:14:15 | ---
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
license: llama2
language:
- ja
- en
inference: false
datasets:
- databricks/databricks-dolly-15k
- kunishou/databricks-dolly-15k-ja
- izumi-lab/llm-japanese-dataset
---
# `rinna/youri-7b-chat-gptq`
#... | 3,708 | [
[
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-0.06732177734375,
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0.017852783203125,
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0.01111602783203125,
0.0171966552734375,
-0.023284912109375,
-0.047760009765625,
-0.039093017578125,... |
timm/maxvit_large_tf_512.in21k_ft_in1k | 2023-05-11T00:14:45.000Z | [
"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_large_tf_512.in21k_ft_in1k | 0 | 3,058 | timm | 2022-12-02T21:55:17 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for maxvit_large_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-... | 22,293 | [
[
-0.05303955078125,
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0.0015192031860351562,
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0.053619384765625,
0.016204833984375,
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-0.04742431640625,
-... |
sshleifer/distilbart-xsum-12-6 | 2021-06-14T07:58:25.000Z | [
"transformers",
"pytorch",
"jax",
"bart",
"text2text-generation",
"summarization",
"en",
"dataset:cnn_dailymail",
"dataset:xsum",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | sshleifer | null | null | sshleifer/distilbart-xsum-12-6 | 5 | 3,057 | 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 | [
[
-0.044097900390625,
-0.0234527587890625,
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0.01352691650390625,
-0.00119781494140625,
0.0157012939453125,
0.028900146484375,
-0.0628662109375,
-0.039398193359375,
-0.0546875,
-0.0116271... |
livingbox/model-test-oct-23-v2 | 2023-10-25T13:12:10.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | livingbox | null | null | livingbox/model-test-oct-23-v2 | 0 | 3,057 | diffusers | 2023-10-25T13:01:28 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Model-test-oct-23-v2 Dreambooth model trained by livingbox with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1... | 511 | [
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-0.0292510986328125,
-0.01517486572265625,
-0.0254669189453125,
-0.00938... |
vasista22/whisper-hindi-large-v2 | 2023-04-24T21:14:45.000Z | [
"transformers",
"pytorch",
"jax",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"hi",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | vasista22 | null | null | vasista22/whisper-hindi-large-v2 | 43 | 3,055 | transformers | 2023-01-14T14:34:03 | ---
language:
- hi
license: apache-2.0
tags:
- whisper-event
metrics:
- wer
model-index:
- name: Whisper Hindi Large-v2 - Vasista Sai Lodagala
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: google/fleurs
type: google/fleurs
con... | 4,342 | [
[
-0.01053619384765625,
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-0.039459228515625,
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0.0151519775390625,
-0.034027099609375,
-0.03497314453125,
-0.051483154296875,
... |
TheBloke/Mistral-7B-v0.1-GGUF | 2023-09-28T22:42:44.000Z | [
"transformers",
"mistral",
"pretrained",
"text-generation",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Mistral-7B-v0.1-GGUF | 151 | 3,055 | transformers | 2023-09-27T16:17:24 | ---
base_model: mistralai/Mistral-7B-v0.1
inference: false
license: apache-2.0
model_creator: Mistral AI
model_name: Mistral 7B v0.1
model_type: mistral
pipeline_tag: text-generation
prompt_template: '{prompt}
'
quantized_by: TheBloke
tags:
- pretrained
---
<!-- header start -->
<!-- 200823 -->
<div style="width: a... | 17,236 | [
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0.0008239746093... |
lenssssw/roblox-clothing-ai-maker | 2023-11-04T23:22:00.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | lenssssw | null | null | lenssssw/roblox-clothing-ai-maker | 4 | 3,051 | diffusers | 2023-03-11T15:40:28 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
THIS MODEL NO LONGER GIVES THE SAME RESULTS AS IT USED TO (shown below)
Sample Images:
clothing template with a shirt red and a tie blue:
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/640ba9bba84bfdc02213d30c/EoEyp... | 680 | [
[
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0.041656494140625,
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-0.07891845703125,
-0.02239990234375,
-0.02593994140625,
... |
Helsinki-NLP/opus-mt-eo-en | 2023-08-16T11:31:54.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-eo-en | 0 | 3,038 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-eo-en
* source languages: eo
* target languages: en
* OPUS readme: [eo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
[
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0.03204345703125,
-0.0494384765625,
-0.039337158203125,
-0.04345703125,
0.0239410400... |
timm/coatnet_bn_0_rw_224.sw_in1k | 2023-05-10T23:45:59.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coatnet_bn_0_rw_224.sw_in1k | 0 | 3,038 | timm | 2023-01-20T21:26:26 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for coatnet_bn_0_rw_224.sw_in1k
A timm specific CoAtNet image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
ImageNet-1k training done on TPUs thanks to support of the [TRC... | 22,142 | [
[
-0.051788330078125,
-0.0311431884765625,
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-0.01038360595703125,
-0.026031494140625,
0.05682373046875,
0.016693115234375,
-0.042388916015625,
-0.046966552734375,
-0.04840087890625... |
Yntec/Dreamscapes_n_Dragonfire_v2 | 2023-09-01T04:25:10.000Z | [
"diffusers",
"fantasy",
"art",
"realistic",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"DarkAgent",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Dreamscapes_n_Dragonfire_v2 | 0 | 3,037 | diffusers | 2023-08-31T11:46:19 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- fantasy
- art
- realistic
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- DarkAgent
inference: true
---
# Dreamscape & Dragonfire 2
This model with MoistMixV2's VAE baked in.
Sample and pro... | 883 | [
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0.026458740234375,
0.0799560546875,
-0.049407958984375,
-0.03302001953125,
-0.0227813720703125,
... |
bucketresearch/politicalBiasBERT | 2023-07-13T20:52:09.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"en",
"doi:10.57967/hf/0870",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | bucketresearch | null | null | bucketresearch/politicalBiasBERT | 10 | 3,036 | transformers | 2023-01-31T06:01:54 | ---
license: mit
language:
- en
library_name: transformers
---
# PoliticalBiasBERT
<!-- Provide a quick summary of what the model is/does. -->
BERT finetuned on many examples of politically biased texts
Paper and repository coming soon.
## Usage
```py
from transformers import AutoTokenizer, AutoModelForSequenceClas... | 1,433 | [
[
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0.04345703125,
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-0.061187744140625,
-0.0... |
ixa-ehu/SciBERT-SQuAD-QuAC | 2023-09-11T13:30:44.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"question-answering",
"en",
"arxiv:1808.07036",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | ixa-ehu | null | null | ixa-ehu/SciBERT-SQuAD-QuAC | 4 | 3,034 | transformers | 2022-03-02T23:29:05 | ---
language: en
---
# SciBERT-SQuAD-QuAC
This is the [SciBERT language representation model](https://huggingface.co/allenai/scibert_scivocab_uncased) fine tuned for Question Answering. SciBERT is a pre-trained language model based on BERT that has been trained on a large corpus of scientific text. When fine tuning f... | 1,173 | [
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... |
nlpie/clinical-distilbert-i2b2-2010 | 2023-07-24T11:12:19.000Z | [
"transformers",
"pytorch",
"distilbert",
"token-classification",
"arxiv:2302.04725",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | nlpie | null | null | nlpie/clinical-distilbert-i2b2-2010 | 0 | 3,033 | transformers | 2023-04-14T20:58:21 | ---
title: README
emoji: 🧬
colorFrom: gray
colorTo: purple
sdk: static
pinned: false
license: mit
---
# Model Description
ClinicalDistilBERT-i2b2-2010 is a lightweight BERT-based model developed by fine-tuning [ClinicalDistilBERT](https://huggingface.co/nlpie/clinical-distilbert) on the i2b2-2010 dataset for clinical... | 1,790 | [
[
-0.0084686279296875,
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0.03271484375,
-0.0233154296875,
-0.030975341796875,
-0.06353759765625,
0.00267791748046... |
Yntec/ChiliConCarne | 2023-10-30T17:24:31.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/ChiliConCarne | 1 | 3,032 | diffusers | 2023-10-30T10:24:43 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Chili Con Carne
Model specialized in Food Photography.
Samples and prompts:
![Samples](https://cdn-uploads.huggingface.co/production/uploads/... | 1,456 | [
[
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-0.0240936279296875,
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0.030029296875,
-0.03924560546875,
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0.... |
stas/mt5-tiny-random | 2021-06-23T16:37:54.000Z | [
"transformers",
"pytorch",
"jax",
"mt5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | stas | null | null | stas/mt5-tiny-random | 2 | 3,027 | transformers | 2022-03-02T23:29:05 | This is a tiny random mt5 model used for testing
See `mt5-make-tiny-model.py` for how it was created. | 102 | [
[
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0.04229736328125,
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-0.0772705078125,
-0.02099609375,
-0.004638671875,
0.0030727... |
timm/coatnet_nano_rw_224.sw_in1k | 2023-05-10T23:46:11.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coatnet_nano_rw_224.sw_in1k | 0 | 3,025 | timm | 2023-01-20T21:26:39 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for coatnet_nano_rw_224.sw_in1k
A timm specific CoAtNet image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
ImageNet-1k training done on TPUs thanks to support of the [TRC... | 22,142 | [
[
-0.0537109375,
-0.033172607421875,
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0.028228759765625,
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-0.0100860595703125,
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0.056488037109375,
0.015869140625,
-0.04168701171875,
-0.044647216796875,
-0.0472412109375,
-0.00287... |
timm/mobilevitv2_075.cvnets_in1k | 2023-04-24T22:23:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2206.02680",
"license:other",
"region:us"
] | image-classification | timm | null | null | timm/mobilevitv2_075.cvnets_in1k | 0 | 3,024 | timm | 2023-04-24T22:23:48 | ---
tags:
- image-classification
- timm
library_name: timm
license: other
datasets:
- imagenet-1k
---
# Model card for mobilevitv2_075.cvnets_in1k
A MobileViT-v2 image classification model. Trained on ImageNet-1k by paper authors.
See license details at https://github.com/apple/ml-cvnets/blob/main/LICENSE
## Model D... | 3,698 | [
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0.034515380859375,
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-0.049774169921875,
-0.047821044921875,
-0... |
vblagoje/dpr-ctx_encoder-single-lfqa-wiki | 2022-02-14T15:51:28.000Z | [
"transformers",
"pytorch",
"dpr",
"en",
"dataset:vblagoje/lfqa",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | null | vblagoje | null | null | vblagoje/dpr-ctx_encoder-single-lfqa-wiki | 3 | 3,022 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- vblagoje/lfqa
license: mit
---
## Introduction
The context/passage encoder model based on [DPRContextEncoder](https://huggingface.co/docs/transformers/master/en/model_doc/dpr#transformers.DPRContextEncoder) architecture. It uses the transformer's pooler outputs as context/passage represent... | 2,796 | [
[
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-0.05194091796875,
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0.02093505859375,
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-0.00843048095703125,
-0.0111846923828125,
-0.00872039794921875,
0.034912109375,
-0.059356689453125,
-0.016265869140625,
-0.03271484375,
0.031... |
Yntec/vividicAnime | 2023-09-04T11:39:59.000Z | [
"diffusers",
"Anime",
"Photorealistic",
"Sexy",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"kazzear",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/vividicAnime | 1 | 3,022 | diffusers | 2023-09-04T10:52:39 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Photorealistic
- Sexy
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- kazzear
---
# Vividic Anime
This model with the MoistMixV2 VAE baked in.
Sample and prompt:
![sample](https://cdn... | 783 | [
[
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0.05322265625,
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-0.059234619140625,
-0.0323486328125,
-0.031341552734375,
-0.028... |
Pclanglais/TintinIA | 2023-09-05T17:11:24.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:cc-by-nc-4.0",
"region:us",
"has_space"
] | text-to-image | Pclanglais | null | null | Pclanglais/TintinIA | 15 | 3,020 | diffusers | 2023-09-05T10:39:29 | ---
license: cc-by-nc-4.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: tintin
widget:
- text: drawing of tintin riding giant snowydog, flying in the air, night sky with stars, close-up
---
TintinIA is fine-tuned version of ... | 823 | [
[
-0.044830322265625,
-0.03887939453125,
0.043792724609375,
0.0244903564453125,
-0.040496826171875,
-0.0014133453369140625,
0.0067138671875,
-0.03411865234375,
0.0618896484375,
0.0477294921875,
-0.03753662109375,
-0.037567138671875,
-0.0200042724609375,
0.0317... |
bigcode/starcoderplus | 2023-08-21T14:27:12.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"code",
"dataset:bigcode/the-stack-dedup",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:1911.02150",
"arxiv:2205.14135",
"arxiv:2207.14255",
"arxiv:2305.06161",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation... | text-generation | bigcode | null | null | bigcode/starcoderplus | 186 | 3,018 | transformers | 2023-05-08T09:46:33 | ---
pipeline_tag: text-generation
inference: true
widget:
- text: 'def print_hello_world():'
example_title: Hello world
group: Python
- text: 'Gradient descent is'
example_title: Machine Learning
group: English
- license: bigcode-openrail-m
datasets:
- bigcode/the-stack-dedup
- tiiuae/falcon-refinedweb
metrics:... | 6,456 | [
[
-0.03997802734375,
-0.04998779296875,
0.011260986328125,
0.01708984375,
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-0.0292205810546875,
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0.025421142578125,
-0.0499267578125,
-0.03460693359375,
-0.0584716796875,
0.0062255859... |
google/ddpm-cat-256 | 2023-08-03T19:46:57.000Z | [
"diffusers",
"pytorch",
"unconditional-image-generation",
"arxiv:2006.11239",
"license:apache-2.0",
"has_space",
"diffusers:DDPMPipeline",
"region:us"
] | unconditional-image-generation | google | null | null | google/ddpm-cat-256 | 4 | 3,016 | diffusers | 2022-07-19T10:42:07 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Denoising Diffusion Probabilistic Models (DDPM)
**Paper**: [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)
**Authors**: Jonathan Ho, Ajay Jain, Pieter Abbeel
**Abstract**:
*We present high qualit... | 2,963 | [
[
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-0.0158233642578125,
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-0.0... |
JackFram/llama-160m | 2023-11-05T19:50:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:wikipedia",
"arxiv:2305.09781",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | JackFram | null | null | JackFram/llama-160m | 6 | 3,016 | transformers | 2023-05-26T16:49:26 | ---
license: other
language:
- en
datasets:
- wikipedia
pipeline_tag: text-generation
---
## Model description
This is a LLaMA-like model with only 160M parameters trained on Wikipedia and part of the C4-en and C4-realnewslike datasets.
No evaluation has been conducted yet, so use it with care.
The model is mainly d... | 917 | [
[
-0.024169921875,
-0.052520751953125,
0.03369140625,
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-0.03826904296875,
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-0.01136016845703125,
-0.058258056640625,
0.048187255859375,
0.037567138671875,
-0.055572509765625,
-0.03790283203125,
-0.033447265625,
0.01390... |
yiyanghkust/finbert-fls | 2022-06-10T23:20:05.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"financial-text-analysis",
"forward-looking-statement",
"en",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | yiyanghkust | null | null | yiyanghkust/finbert-fls | 14 | 3,015 | transformers | 2022-05-12T01:33:03 | ---
language: "en"
tags:
- financial-text-analysis
- forward-looking-statement
widget:
- text: "We expect the age of our fleet to enhance availability and reliability due to reduced downtime for repairs. "
---
Forward-looking statements (FLS) inform investors of managers’ beliefs and opinions about firm's future event... | 1,472 | [
[
-0.0406494140625,
-0.031951904296875,
0.01500701904296875,
0.035888671875,
-0.0134429931640625,
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-0.00738525390625,
-0.0303802490234375,
0.01309967041015625,
0.04437255859375,
-0.05877685546875,
-0.032196044921875,
-0.032684326171875,
0.... |
Chirayu/nl2mongo | 2023-08-12T23:45:14.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"code",
"en",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | Chirayu | null | null | Chirayu/nl2mongo | 0 | 3,015 | transformers | 2023-06-09T03:35:22 | ---
license: mit
tags:
- code
language:
- en
---
# What does this model do?
This model converts the natural language input to MongoDB (MQL) query. It is a fine-tuned CodeT5+ 220M. This model is a part of nl2query repository which is present at https://github.com/Chirayu-Tripathi/nl2query
You can use this model via the... | 2,124 | [
[
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0.0038166046142578125,
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0.047149658203125,
-0.045440673828125,
-0.041748046875,
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0... |
Yntec/CultClassic | 2023-08-05T20:17:37.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"vrgamedevgirl",
"elldreth",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/CultClassic | 0 | 3,015 | diffusers | 2023-08-05T17:29:16 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- vrgamedevgirl
- elldreth
---
# Cult Classic
CinematicStyleV1 Lora merget to Elldreth's Retro Mix so you can create your own Cult Classic!
Origina... | 437 | [
[
-0.049163818359375,
-0.048828125,
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0.044647216796875,
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-0.016143798828125,
-0.0271453857421875,
-0.013893... |
gogamza/kobart-base-v1 | 2023-06-29T00:45:30.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"feature-extraction",
"ko",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | gogamza | null | null | gogamza/kobart-base-v1 | 1 | 3,014 | transformers | 2022-03-02T23:29:05 | ---
language: ko
tags:
- bart
license: mit
---
## KoBART-base-v1
```python
from transformers import PreTrainedTokenizerFast, BartModel
tokenizer = PreTrainedTokenizerFast.from_pretrained('gogamza/kobart-base-v1')
model = BartModel.from_pretrained('gogamza/kobart-base-v1')
```
| 282 | [
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0.01433563232421875,
0.005802154541015625,
0.01422119140625,
0.00774383544921875,
0.0506591796875,
-0.059600830078125,
-0.011474609375,
-0.054779052734375,
... |
Yntec/WoopWoopAnime | 2023-10-22T01:12:37.000Z | [
"diffusers",
"anime",
"art",
"digital",
"zoidbb",
"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/WoopWoopAnime | 1 | 3,013 | diffusers | 2023-10-22T00:22:50 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anime
- art
- digital
- zoidbb
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# WoopWoopAnime
THIS MODEL IS DEPRECATED. Please use WoopWoop-General instead: https://civitai.co... | 762 | [
[
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0.0282135009765625,
-0.016754150390625,
0.03289794921875,
0.056121826171875,
-0.06475830078125,
-0.023529052734375,
-0.03228759765625,
-0.02... |
eugenesiow/bart-paraphrase | 2023-03-28T06:46:28.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"paraphrase",
"seq2seq",
"en",
"dataset:quora",
"dataset:paws",
"arxiv:1910.13461",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | eugenesiow | null | null | eugenesiow/bart-paraphrase | 20 | 3,009 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
tags:
- transformers
- bart
- paraphrase
- seq2seq
datasets:
- quora
- paws
---
# BART Paraphrase Model (Large)
A large BART seq2seq (text2text generation) model fine-tuned on 3 paraphrase datasets.
## Model description
The BART model was proposed in [BART: Denoising Sequence-to-Se... | 2,958 | [
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0.04559326171875,
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0... |
internlm/internlm-7b | 2023-10-20T14:21:06.000Z | [
"transformers",
"pytorch",
"internlm",
"feature-extraction",
"text-generation",
"custom_code",
"has_space",
"region:us"
] | text-generation | internlm | null | null | internlm/internlm-7b | 80 | 3,009 | transformers | 2023-07-06T01:37:10 | ---
pipeline_tag: text-generation
---
# InternLM
<div align="center">
<img src="https://github.com/InternLM/InternLM/assets/22529082/b9788105-8892-4398-8b47-b513a292378e" width="200"/>
<div> </div>
<div align="center">
<b><font size="5">InternLM</font></b>
<sup>
<a href="https://internlm.inter... | 9,142 | [
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... |
apple/DFN5B-CLIP-ViT-H-14-378 | 2023-10-31T18:02:40.000Z | [
"open_clip",
"pytorch",
"clip",
"arxiv:2309.17425",
"license:other",
"region:us"
] | null | apple | null | null | apple/DFN5B-CLIP-ViT-H-14-378 | 2 | 3,008 | open_clip | 2023-10-30T23:08:21 | ---
license: other
license_name: apple-sample-code-license
license_link: LICENSE
---
A CLIP (Contrastive Language-Image Pre-training) model trained on DFN-5B.
Data Filtering Networks (DFNs) are small networks used to automatically filter large pools of uncurated data.
This model was trained on 5B images that were fil... | 4,001 | [
[
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-0.0360107421875,
0.015899658203125,
0.009124755859375,
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-0.0000903010368347168,
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0.03314208984375,
0.0261383056640625,
-0.04595947265625,
-0.05035400390625,
-0.049041748046875,
-... |
Ryzan/fantasy-diffusion-v1 | 2023-10-05T03:32:20.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"art",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Ryzan | null | null | Ryzan/fantasy-diffusion-v1 | 13 | 3,007 | diffusers | 2023-07-24T22:36:37 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- art
language:
- en
library_name: diffusers
---
### fantasy-diffusion-v1 diffusion ML model by Ryzan (Ryan Han)
This is currently a base model
<br />
trained by me with DreamBooth
<br />
<br />
This model is trained on 400 images of semi-reali... | 1,787 | [
[
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0.05511474609375,
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-0.0545654296875,
-0.033447265625,
-0.00090... |
Yntec/aPhotographicTrend | 2023-09-17T07:37:08.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Ciro_Negrogni",
"MagicArt35",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/aPhotographicTrend | 1 | 3,002 | diffusers | 2023-09-16T12:13:13 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Ciro_Negrogni
- MagicArt35
---
# A Photographic Trend
AmovieX by MagicArt35 with the Photographic Trend LoRA by Ciro_Negrogni baked in. First vers... | 1,639 | [
[
-0.01824951171875,
-0.046905517578125,
0.007259368896484375,
0.0282440185546875,
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0.033660888671875,
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0.08978271484375,
0.040283203125,
-0.0635986328125,
-0.046295166015625,
-0.0418701171875,
-0.0225... |
timm/inception_v4.tf_in1k | 2023-05-10T01:04:54.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1602.07261",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/inception_v4.tf_in1k | 0 | 3,000 | timm | 2023-04-25T21:31:36 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for inception_v4.tf_in1k
A Inception-v4 image classification model. Trained on ImageNet-1k paper authors. Ported from Tensorflow via Cadene's pretrained-models.pytorch.
## Model Details
- **Model Ty... | 3,777 | [
[
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0.02545166015625,
-0.035430908203125,
-0.0609130859375,
-0.04791259765625,
-0.... |
artificialguybr/TshirtDesignRedmond-V2 | 2023-10-07T22:01:49.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/TshirtDesignRedmond-V2 | 6 | 2,999 | diffusers | 2023-10-07T21:51:30 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: TshirtDesignAF, T Shirt Design
widget:
- text: TshirtDesignAF, T Shirt Design
---
# TShirtDesign.Redmond V2
TShirtDesign.R... | 1,307 | [
[
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-0.0301513671875,
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-0.0149459838867... |
VietAI/envit5-translation | 2022-11-21T09:59:08.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"translation",
"vi",
"en",
"dataset:cc100",
"license:openrail",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | translation | VietAI | null | null | VietAI/envit5-translation | 8 | 2,996 | transformers | 2022-10-06T14:53:36 | ---
language:
- vi
- en
datasets:
- cc100
tags:
- translation
widget:
- text: "vi: VietAI là tổ chức phi lợi nhuận với sứ mệnh ươm mầm tài năng về trí tuệ nhân tạo và xây dựng một cộng đồng các chuyên gia trong lĩnh vực trí tuệ nhân tạo đẳng cấp quốc tế tại Việt Nam."
license: openrail
---
# EnViT5 Translation
[![P... | 3,403 | [
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-0.054229736328125,
0.03384... |
vblagoje/dpr-question_encoder-single-lfqa-wiki | 2022-03-11T10:11:16.000Z | [
"transformers",
"pytorch",
"dpr",
"feature-extraction",
"en",
"dataset:vblagoje/lfqa",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | vblagoje | null | null | vblagoje/dpr-question_encoder-single-lfqa-wiki | 3 | 2,992 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- vblagoje/lfqa
license: mit
---
## Introduction
The question encoder model based on [DPRQuestionEncoder](https://huggingface.co/docs/transformers/master/en/model_doc/dpr#transformers.DPRQuestionEncoder) architecture. It uses the transformer's pooler outputs as question representations. See ... | 2,767 | [
[
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-0.002105712890625,
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0.039581298828125,
-0.058929443359375,
-0.0084228515625,
-0.03131103515625... |
NumbersStation/nsql-llama-2-7B | 2023-07-31T22:58:50.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | NumbersStation | null | null | NumbersStation/nsql-llama-2-7B | 54 | 2,992 | transformers | 2023-07-31T22:58:50 | ---
license: llama2
inference:
parameters:
do_sample: false
max_length: 200
widget:
- text: "CREATE TABLE stadium (\n stadium_id number,\n location text,\n name text,\n capacity number,\n)\n\n-- Using valid SQLite, answer the following questions for the tables provided above.\n\n-- how many stadiu... | 5,739 | [
[
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0.016754150390625,
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0.02008056640625,
0.05548095703125,
-0.04278564453125,
-0.042633056640625,
-0.02001953125,
0.028610229... |
Yntec/Splash | 2023-09-22T11:11:59.000Z | [
"diffusers",
"Realism",
"Splash,",
"Explosion",
"Jehovah",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Splash | 0 | 2,990 | diffusers | 2023-09-22T09:12:14 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Realism
- Splash,
- Explosion
- Jehovah
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
For trigger words you can use, check the original page at: https://civitai.com/models/81619?modelVersi... | 1,776 | [
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lllyasviel/sd-controlnet-mlsd | 2023-04-24T22:30:46.000Z | [
"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-mlsd | 17 | 2,985 | diffusers | 2023-02-24T07:04:59 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
- image-to-image
---
# Controlnet - *M-LSD Straight Line Version*
ControlNet is a neural network structure to control diffusion models by adding extra conditions.
This checkpoint corresponds to the ControlNet... | 11,580 | [
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tinkoff-ai/ruDialoGPT-medium | 2022-11-07T13:34:43.000Z | [
"transformers",
"pytorch",
"gpt2",
"conversational",
"ru",
"arxiv:2001.09977",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | conversational | tinkoff-ai | null | null | tinkoff-ai/ruDialoGPT-medium | 29 | 2,983 | transformers | 2022-07-12T14:52:19 | ---
license: mit
widget:
- text: "@@ПЕРВЫЙ@@ привет @@ВТОРОЙ@@ привет @@ПЕРВЫЙ@@ как дела? @@ВТОРОЙ@@"
example_title: "how r u"
- text: "@@ПЕРВЫЙ@@ что ты делал на выходных? @@ВТОРОЙ@@"
example_title: "wyd"
language:
- ru
tags:
- conversational
---
This generation model is based on [sberbank-ai/rugpt3medium_based_... | 2,251 | [
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sail-rvc/AndrewTate | 2023-07-14T07:18:30.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/AndrewTate | 3 | 2,981 | transformers | 2023-07-14T07:18:02 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# AndrewTate
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:18:30
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into lo... | 378 | [
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Daniil-plotnikov/deepvision-v2-1 | 2023-10-10T13:26:36.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Daniil-plotnikov | null | null | Daniil-plotnikov/deepvision-v2-1 | 2 | 2,978 | diffusers | 2023-10-10T13:21:16 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### DeepVision-V2.1
Good model
| 112 | [
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digiplay/2.5DSET_diffusers | 2023-07-10T07:04:59.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/2.5DSET_diffusers | 3 | 2,974 | diffusers | 2023-05-28T22:03:05 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/18634?modelVersionId=22116
![下載 - 2023-06-11T034629.327.png](https://cdn-uploads.huggingface.co/production/uploads/646c83c871d0c8a6e4455854/alH7TInVgzE-TQBqA... | 331 | [
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Meina/MeinaPastel_V6 | 2023-07-02T03:18:02.000Z | [
"diffusers",
"art",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Meina | null | null | Meina/MeinaPastel_V6 | 4 | 2,973 | diffusers | 2023-07-02T03:08:51 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- art
---
MeinaPastel aims to make illustrations with a 2d feel to them with good light, shadows and details, making pastel or colorful images!
-- Recommendations of use:
- Sampling method: DPM++ 2M Karass, 20... | 853 | [
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0.001694679... |
TheBloke/Mythalion-13B-AWQ | 2023-09-27T12:50:54.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text generation",
"instruct",
"en",
"dataset:PygmalionAI/PIPPA",
"dataset:Open-Orca/OpenOrca",
"dataset:Norquinal/claude_multiround_chat_30k",
"dataset:jondurbin/airoboros-gpt4-1.4.1",
"dataset:databricks/databricks-dolly-15k",
"lic... | text-generation | TheBloke | null | null | TheBloke/Mythalion-13B-AWQ | 2 | 2,972 | transformers | 2023-09-19T07:25:02 | ---
language:
- en
license: llama2
tags:
- text generation
- instruct
datasets:
- PygmalionAI/PIPPA
- Open-Orca/OpenOrca
- Norquinal/claude_multiround_chat_30k
- jondurbin/airoboros-gpt4-1.4.1
- databricks/databricks-dolly-15k
model_name: Mythalion 13B
base_model: PygmalionAI/mythalion-13b
inference: false
model_creato... | 13,621 | [
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Yntec/NovelAI | 2023-09-03T01:30:05.000Z | [
"diffusers",
"text-to-image",
"license:other",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/NovelAI | 1 | 2,967 | diffusers | 2023-09-02T23:29:54 | ---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tag:
- anime
inference: false
---
# NovelAI
This model here is for research purposes only, you're not allowed to have fun with it.
Sample and prompt:
![Sample](https://cdn-uploads.huggingface.co/production/uploads/63239b8370edc53f51cd5d42/iU9DHA... | 591 | [
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0.00... |
TheBloke/Upstage-Llama-2-70B-instruct-v2-AWQ | 2023-09-27T12:51:57.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"upstage",
"llama-2",
"instruct",
"instruction",
"en",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Upstage-Llama-2-70B-instruct-v2-AWQ | 0 | 2,965 | transformers | 2023-09-19T12:34:04 | ---
language:
- en
license: llama2
tags:
- upstage
- llama-2
- instruct
- instruction
model_name: Llama 2 70B Instruct v2
base_model: upstage/Llama-2-70b-instruct-v2
inference: false
model_creator: Upstage
model_type: llama
pipeline_tag: text-generation
prompt_template: '### System:
{system_message}
### User:
... | 16,176 | [
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laion/CLIP-convnext_base_w_320-laion_aesthetic-s13B-b82K-augreg | 2023-04-18T22:04:07.000Z | [
"open_clip",
"tensorboard",
"clip",
"zero-shot-image-classification",
"arxiv:2201.03545",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-convnext_base_w_320-laion_aesthetic-s13B-b82K-augreg | 4 | 2,964 | open_clip | 2023-01-10T01:35:19 | ---
license: mit
library_name: open_clip
pipeline_tag: zero-shot-image-classification
tags:
- clip
---
# Model Card for CLIP-convnext_base_w-320.laion_aesthetic-s13B-b82k-augreg
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training Details](#training-details)
4. [Evaluation](#evaluatio... | 12,638 | [
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dmis-lab/biobert-large-cased-v1.1-squad | 2023-01-04T12:14:48.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"question-answering",
"arxiv:1901.08746",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | dmis-lab | null | null | dmis-lab/biobert-large-cased-v1.1-squad | 10 | 2,959 | transformers | 2022-03-02T23:29:05 | ---
tags:
- question-answering
- bert
---
# Model Card for biobert-large-cased-v1.1-squad
# Model Details
## Model Description
More information needed
- **Developed by:** DMIS-lab (Data Mining and Information Systems Lab, Korea University)
- **Shared by [Optional]:** DMIS-lab (Data Mining and Information Syst... | 5,257 | [
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0.0183... |
Helsinki-NLP/opus-mt-ceb-en | 2023-08-16T11:26:49.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ceb",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-ceb-en | 1 | 2,958 | transformers | 2022-03-02T23:29:04 | ---
language:
- ceb
- en
tags:
- translation
license: apache-2.0
---
### ceb-eng
* source group: Cebuano
* target group: English
* OPUS readme: [ceb-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ceb-eng/README.md)
* model: transformer-align
* source language(s): ceb
* target langua... | 2,058 | [
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0.02334594726... |
ostris/crayon_style_lora_sdxl | 2023-08-15T01:44:12.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"sdxl",
"license:apache-2.0",
"has_space",
"region:us"
] | text-to-image | ostris | null | null | ostris/crayon_style_lora_sdxl | 15 | 2,957 | diffusers | 2023-08-15T01:33:55 | ---
license: apache-2.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- sdxl
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: ''
widget:
- text: an ant holding up a sign that says crayons
---
# Crayon Style - SDXL LoRA
### Tips
- No trigger words needed.
- Converts any prompt into... | 3,157 | [
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0.00599670... |
hubtype/distilbert-base-uncased-nonsense | 2022-09-14T08:09:05.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | hubtype | null | null | hubtype/distilbert-base-uncased-nonsense | 2 | 2,954 | transformers | 2022-09-13T15:43:03 | ## Definition
This text classification model detects whenever a text has no sense.
## Usage Recommendations
- **max\_length**: 128
- **padding**: "max_length"
- **truncation**: True
## Performance
- **Accuracy**: 99\% | 220 | [
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TheBloke/OpenHermes-2-Mistral-7B-GPTQ | 2023-10-16T20:26:00.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"en",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/OpenHermes-2-Mistral-7B-GPTQ | 22 | 2,954 | transformers | 2023-10-14T08:00:37 | ---
base_model: teknium/OpenHermes-2-Mistral-7B
inference: false
language:
- en
license: apache-2.0
model-index:
- name: OpenHermes-2-Mistral-7B
results: []
model_creator: Teknium
model_name: OpenHermes 2 Mistral 7B
model_type: mistral
prompt_template: '<|im_start|>system
{system_message}<|im_end|>
<|im_start|>... | 30,682 | [
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keremberke/yolov8n-pothole-segmentation | 2023-02-22T13:00:57.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"image-segmentation",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/pothole-segmentation",
"model-index",
"region:us"
] | image-segmentation | keremberke | null | null | keremberke/yolov8n-pothole-segmentation | 10 | 2,950 | ultralytics | 2023-01-15T20:02:43 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- image-segmentation
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/pothole-segmentation
model-index:
- name: keremberke/yolov8n-pothole-segmentation
results:
- task:
... | 1,982 | [
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facebook/rag-token-base | 2020-12-11T21:39:44.000Z | [
"transformers",
"pytorch",
"rag",
"en",
"dataset:wiki_dpr",
"arxiv:2005.11401",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | facebook | null | null | facebook/rag-token-base | 5 | 2,947 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- wiki_dpr
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
---
## RAG
This is a non-finetuned version of the RAG-Token model of the the paper [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://arxiv.org/pdf/2005.11401.pdf)
by Patri... | 2,390 | [
[
-0.0253143310546875,
-0.05712890625,
0.00365447998046875,
0.0031414031982421875,
-0.0162506103515625,
-0.004985809326171875,
-0.01079559326171875,
-0.01032257080078125,
0.0252685546875,
0.037811279296875,
-0.037139892578125,
0.004344940185546875,
-0.047241210937... |
timm/coatnet_rmlp_1_rw_224.sw_in1k | 2023-05-10T23:47:37.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coatnet_rmlp_1_rw_224.sw_in1k | 0 | 2,940 | timm | 2023-01-20T21:27:22 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for coatnet_rmlp_1_rw_224.sw_in1k
A timm specific CoAtNet (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model. Trained in `timm` on Im... | 22,334 | [
[
-0.05010986328125,
-0.032012939453125,
0.0014801025390625,
0.029327392578125,
-0.0222015380859375,
-0.017120361328125,
-0.01108551025390625,
-0.0270843505859375,
0.055145263671875,
0.0158233642578125,
-0.041748046875,
-0.047027587890625,
-0.049072265625,
-0.... |
microsoft/beit-base-finetuned-ade-640-640 | 2022-10-13T07:01:48.000Z | [
"transformers",
"pytorch",
"beit",
"vision",
"image-segmentation",
"dataset:scene_parse_150",
"arxiv:2106.08254",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | microsoft | null | null | microsoft/beit-base-finetuned-ade-640-640 | 7 | 2,937 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
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_... | 5,415 | [
[
-0.052581787109375,
-0.034881591796875,
0.01300811767578125,
-0.01099395751953125,
-0.036529541015625,
-0.0182647705078125,
0.0021953582763671875,
-0.05169677734375,
0.01137542724609375,
0.0377197265625,
-0.05010986328125,
-0.047393798828125,
-0.05322265625,
... |
google/t5-small-lm-adapt | 2023-01-24T16:52:21.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"t5-lm-adapt",
"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-small-lm-adapt | 6 | 2,935 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- c4
tags:
- t5-lm-adapt
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) Version 1.1 - LM-Adapted
## Version 1.1 - LM-Adapted
[T5 Version 1.1 - LM Adapted](https://github.com/google-research/text-to-text-transfer-transform... | 3,207 | [
[
-0.0237884521484375,
-0.03076171875,
0.0316162109375,
0.0194244384765625,
-0.01125335693359375,
0.01122283935546875,
-0.02813720703125,
-0.046478271484375,
-0.0113983154296875,
0.03277587890625,
-0.054412841796875,
-0.04278564453125,
-0.06134033203125,
0.022... |
sshleifer/distilbart-cnn-6-6 | 2021-06-14T07:53:04.000Z | [
"transformers",
"pytorch",
"jax",
"rust",
"bart",
"text2text-generation",
"summarization",
"en",
"dataset:cnn_dailymail",
"dataset:xsum",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | sshleifer | null | null | sshleifer/distilbart-cnn-6-6 | 21 | 2,933 | 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 | [
[
-0.04412841796875,
-0.023468017578125,
0.0386962890625,
0.026702880859375,
-0.0132598876953125,
0.015167236328125,
0.01352691650390625,
-0.0012273788452148438,
0.0157012939453125,
0.028900146484375,
-0.06292724609375,
-0.039337158203125,
-0.0546875,
-0.01164... |
microsoft/conditional-detr-resnet-50 | 2022-12-16T20:16:05.000Z | [
"transformers",
"pytorch",
"conditional_detr",
"object-detection",
"vision",
"dataset:coco",
"arxiv:2108.06152",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | object-detection | microsoft | null | null | microsoft/conditional-detr-resnet-50 | 4 | 2,931 | transformers | 2022-09-09T06:11:40 | ---
license: apache-2.0
tags:
- object-detection
- vision
datasets:
- coco
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg
example_title: Savanna
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example_title: Football Match
- s... | 4,668 | [
[
-0.03369140625,
-0.032501220703125,
0.004314422607421875,
-0.0045928955078125,
-0.01174163818359375,
-0.0006699562072753906,
-0.015960693359375,
-0.046356201171875,
0.002025604248046875,
0.018280029296875,
-0.040618896484375,
-0.04803466796875,
-0.05014038085937... |
facebook/musicgen-large | 2023-10-05T15:13:57.000Z | [
"transformers",
"pytorch",
"musicgen",
"text-to-audio",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-audio | facebook | null | null | facebook/musicgen-large | 226 | 2,927 | transformers | 2023-06-08T17:51:00 | ---
inference: true
tags:
- musicgen
license: cc-by-nc-4.0
---
# MusicGen - Large - 3.3B
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer w... | 12,009 | [
[
-0.041015625,
-0.049224853515625,
0.0176239013671875,
0.04058837890625,
0.00023686885833740234,
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-0.039581298828125,
-0.024566650390625,
0.0110931396484375,
0.018157958984375,
-0.07476806640625,
-0.05859375,
-0.026275634765625,
0.0090179... |
mrm8488/codebert-base-finetuned-detect-insecure-code | 2021-05-20T18:19:02.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"en",
"dataset:codexglue",
"arxiv:2002.08155",
"arxiv:1907.11692",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | mrm8488 | null | null | mrm8488/codebert-base-finetuned-detect-insecure-code | 22 | 2,926 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- codexglue
---
# CodeBERT fine-tuned for Insecure Code Detection 💾⛔
[codebert-base](https://huggingface.co/microsoft/codebert-base) fine-tuned on [CodeXGLUE -- Defect Detection](https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/Defect-detection) dataset for **Insecure Code Detec... | 3,815 | [
[
-0.0200042724609375,
-0.033203125,
-0.0133056640625,
0.006694793701171875,
-0.00662994384765625,
0.0194244384765625,
-0.0132598876953125,
-0.029815673828125,
0.0012607574462890625,
0.0229644775390625,
-0.0166168212890625,
-0.06610107421875,
-0.045654296875,
... |
DucHaiten/DH_ClassicAnime | 2023-03-02T17:04:56.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"image-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | DucHaiten | null | null | DucHaiten/DH_ClassicAnime | 48 | 2,926 | diffusers | 2023-02-13T15:41:07 | ---
license: creativeml-openrail-m
language:
- en
tags:
- stable-diffusion
- text-to-image
- image-to-image
- diffusers
---
I don't know about you, but in my opinion this is the best anime model I've ever created. With a bit of romance, a little bit of classic and indispensable NSFW, this is my favorite anime model. ... | 4,590 | [
[
-0.05609130859375,
-0.04937744140625,
0.0438232421875,
0.004558563232421875,
-0.0263214111328125,
-0.0001825094223022461,
0.031585693359375,
-0.04730224609375,
0.06695556640625,
0.055206298828125,
-0.036224365234375,
-0.047607421875,
-0.043914794921875,
0.01... |
Salesforce/codet5-base-codexglue-sum-java | 2023-04-20T06:51:30.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"license:bsd-3-clause",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Salesforce | null | null | Salesforce/codet5-base-codexglue-sum-java | 0 | 2,925 | transformers | 2023-04-20T06:45:09 | ---
license: bsd-3-clause
---
This is a finetuned CodeT5-base checkpoint on CodeXGLUE code summarization Java data.
Pretrained model: https://huggingface.co/Salesforce/codet5-base
Finetuning dataset: https://huggingface.co/datasets/code_x_glue_ct_code_to_text (only the Java split) | 283 | [
[
-0.027557373046875,
-0.0269622802734375,
0.00621795654296875,
0.0159454345703125,
-0.0216217041015625,
0.00939178466796875,
-0.0016422271728515625,
-0.00879669189453125,
0.02679443359375,
0.0770263671875,
-0.0787353515625,
-0.064453125,
-0.019622802734375,
-... |
sail-rvc/Butters | 2023-07-14T07:20:15.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/Butters | 0 | 2,924 | transformers | 2023-07-14T07:19:37 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# Butters
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:20:14
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into loada... | 375 | [
[
-0.033966064453125,
-0.0261993408203125,
0.026336669921875,
0.0090179443359375,
-0.020751953125,
0.01497650146484375,
0.0147705078125,
0.00334930419921875,
0.021392822265625,
0.070556640625,
-0.046661376953125,
-0.049346923828125,
-0.04876708984375,
-0.00595... |
jbilcke-hf/sdxl-cinematic-2 | 2023-10-18T12:10:42.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:jbilcke-hf/cinematic-2",
"region:us",
"has_space"
] | text-to-image | jbilcke-hf | null | null | jbilcke-hf/sdxl-cinematic-2 | 2 | 2,924 | diffusers | 2023-10-14T22:27:49 |
---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: cinematic-2
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: true
datasets:
- jbilcke-hf/cinematic-2
---
# LoRA DreamBooth - jbilcke-hf/sdxl-cinematic-2
These are LoRA adaption weight... | 1,833 | [
[
-0.01458740234375,
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0.02825927734375,
0.01354217529296875,
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0.01329803466796875,
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0.0364990234375,
0.038330078125,
-0.038970947265625,
-0.02716064453125,
-0.0626220703125,
-0.014228... |
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