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/xception41.tf_in1k | 2023-04-21T23:43:10.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1802.02611",
"arxiv:1610.02357",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/xception41.tf_in1k | 1 | 1,792 | timm | 2023-04-21T23:42:47 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for xception41.tf_in1k
An Aligned Xception image classification model. Trained on ImageNet-1k in Tensorflow and ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image classific... | 3,917 | [
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0.03314208984375,
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-0.062103271484375,
-0.054412841796875,
-... |
voidism/diffcse-roberta-base-sts | 2022-05-01T19:30:19.000Z | [
"transformers",
"pytorch",
"roberta",
"feature-extraction",
"arxiv:2204.10298",
"arxiv:2104.08821",
"arxiv:2111.00899",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | voidism | null | null | voidism/diffcse-roberta-base-sts | 1 | 1,790 | transformers | 2022-04-14T15:19:51 | ---
license: apache-2.0
---
# DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
[](https://github.com/voidism/DiffCSE/)
[](https://colab.rese... | 8,670 | [
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0.002620697021484375,
-0.0516357421875,
-0.0283203125,
-0.061614990234375,
0.01139831... |
Lykon/AnimePastelDream | 2023-03-25T01:21:26.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"en",
"license:other",
"region:us"
] | text-to-image | Lykon | null | null | Lykon/AnimePastelDream | 7 | 1,790 | diffusers | 2023-03-22T22:58:29 | ---
language:
- en
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
inference: false
---
For info: https://civitai.com/models/23521/anime-pastel-dream | 216 | [
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kanu03/my-cat | 2023-07-16T17:44:02.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | kanu03 | null | null | kanu03/my-cat | 0 | 1,789 | diffusers | 2023-07-16T17:39:19 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-cat Dreambooth model trained by kanu03 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: OPJU101
Sample pictures of this concept:
![0](https://huggingface.co/kanu03/... | 369 | [
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0.01863098144... |
bond005/wav2vec2-large-ru-golos-with-lm | 2023-02-27T06:08:09.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"common_voice",
"SberDevices/Golos",
"bond005/rulibrispeech",
"bond005/sova_rudevices",
"dangrebenkin/voxforge-ru-dataset",
"ru",
"dataset:SberDevices/Golos",
"dataset:common_voice",
"dataset:bond00... | automatic-speech-recognition | bond005 | null | null | bond005/wav2vec2-large-ru-golos-with-lm | 8 | 1,788 | transformers | 2022-09-26T14:44:38 | ---
language: ru
datasets:
- SberDevices/Golos
- common_voice
- bond005/rulibrispeech
- bond005/sova_rudevices
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- common_voice
- SberDevices/Golos
- bond005/rulibrispeech
- bond005/sova_rudevices
- dangrebenkin/voxforge-ru-dataset
license: apache... | 12,069 | [
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-0.057037353515625,
-0.009185791015625,
-0.03369140625,
-0.0... |
theexcitedgirl/my-pet-dog | 2023-10-08T03:49:19.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | theexcitedgirl | null | null | theexcitedgirl/my-pet-dog | 0 | 1,788 | diffusers | 2023-10-08T03:44:26 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by theexcitedgirl following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](ht... | 816 | [
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-0.037017822265625,
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-0.0220489501953125,
0.005805969... |
abedsaad/lora-trained-xl-colab | 2023-09-30T22:37:09.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"license:openrail++",
"has_space",
"region:us"
] | text-to-image | abedsaad | null | null | abedsaad/lora-trained-xl-colab | 2 | 1,786 | diffusers | 2023-09-30T16:25:44 |
---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a photo of sks man
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - abedsaad/lora-trained-xl-colab
These are LoRA adaption weights fo... | 626 | [
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0.038177490234375,
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-0.... |
agonh/SDXL-LORA | 2023-10-02T01:27:05.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion",
"text-to-image",
"lora",
"loraxl",
"en",
"license:openrail++",
"has_space",
"region:us"
] | text-to-image | agonh | null | null | agonh/SDXL-LORA | 2 | 1,786 | diffusers | 2023-10-02T01:27:05 | ---
license: openrail++
base_model: FFusion/FFXL400
instance_prompt: Morphxl_V10
widget:
- text: >-
your prompt
example_title: your creation
- text: >-
A cyberpunk city, cyberpunk style, a girl in the city , walking, ultra high quality, neon ambiance, abstract black oil, gear mecha, detailed acryl... | 939 | [
[
-0.0416259765625,
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... |
huggingface/time-series-transformer-tourism-monthly | 2023-02-23T13:44:19.000Z | [
"transformers",
"pytorch",
"time_series_transformer",
"dataset:monash_tsf",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | huggingface | null | null | huggingface/time-series-transformer-tourism-monthly | 12 | 1,784 | transformers | 2022-09-26T14:37:22 | ---
license: mit
datasets:
- monash_tsf
---
# Time Series Transformer (trained on monash_tsf/tourism-monthly)
Time Series Transformer model trained on the tourism-monthly dataset for 30 epochs.
## Model description
The Time Series Transformer is a vanilla encoder-decoder Transformer for time-series forecasting. T... | 639 | [
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... |
AadithKumar/my-pet-dog-eaak | 2023-10-25T20:26:28.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | AadithKumar | null | null | AadithKumar/my-pet-dog-eaak | 1 | 1,784 | diffusers | 2023-10-25T20:21:38 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog-EAAK Dreambooth model trained by AadithKumar following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: ASET-163
Sample pictures of this concept:
| 298 | [
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-0.00787353515625,
-0.015838623046875,
0.0... |
zeroshot/bge-base-en-v1.5-quant | 2023-11-01T17:50:36.000Z | [
"transformers",
"onnx",
"bert",
"feature-extraction",
"mteb",
"sparse sparsity quantized onnx embeddings int8",
"en",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | zeroshot | null | null | zeroshot/bge-base-en-v1.5-quant | 0 | 1,783 | transformers | 2023-10-03T12:45:42 | ---
license: mit
language:
- en
tags:
- mteb
- sparse sparsity quantized onnx embeddings int8
model-index:
- name: bge-base-en-v1.5-quant
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
sp... | 21,981 | [
[
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0.0307464599609375,
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-0.0489501953125,
... |
ai-forever/ruElectra-large | 2023-11-03T12:48:35.000Z | [
"transformers",
"pytorch",
"electra",
"pretraining",
"PyTorch",
"Transformers",
"ru",
"arxiv:2309.10931",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | ai-forever | null | null | ai-forever/ruElectra-large | 1 | 1,782 | transformers | 2023-07-28T09:49:54 | ---
license: mit
language:
- ru
tags:
- PyTorch
- Transformers
---
# ruELECTRA large model (cased) for Embeddings in the Russian language.
The model architecture design, pretraining, and evaluation are documented in our preprint: [**A Family of Pretrained Transformer Language Models for Russian**](https://arxiv.org/a... | 2,616 | [
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-0.03521728515625,
-0.051727294921875... |
Erlalex/dominikof-v1-5-1 | 2023-07-16T19:02:27.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Erlalex | null | null | Erlalex/dominikof-v1-5-1 | 0 | 1,781 | diffusers | 2023-07-16T18:57:28 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### DominikOF_v1.5.1 Dreambooth model trained by Erlalex with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Co... | 505 | [
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-0.037506103515625,
-0.033447265625,
-0.007827758... |
timm/vit_huge_patch14_224.mae | 2023-05-09T20:29:10.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2111.06377",
"arxiv:2010.11929",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_huge_patch14_224.mae | 0 | 1,780 | timm | 2023-05-09T20:20:59 | ---
tags:
- image-classification
- timm
library_name: timm
license: cc-by-nc-4.0
---
# Model card for vit_huge_patch14_224.mae
A Vision Transformer (ViT) image feature model. Pretrained on ImageNet-1k with Self-Supervised Masked Autoencoder (MAE) method.
## Model Details
- **Model Type:** Image classification / fea... | 3,596 | [
[
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-0.040863037109375,
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-0... |
timm/fastvit_t8.apple_in1k | 2023-08-23T20:56:15.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2303.14189",
"license:other",
"region:us"
] | image-classification | timm | null | null | timm/fastvit_t8.apple_in1k | 1 | 1,780 | timm | 2023-08-23T20:56:11 | ---
tags:
- image-classification
- timm
library_name: timm
license: other
datasets:
- imagenet-1k
---
# Model card for fastvit_t8.apple_in1k
A FastViT image classification model. Trained on ImageNet-1k by paper authors.
Please observe [original license](https://github.com/apple/ml-fastvit/blob/8af5928238cab99c45f64fc... | 3,659 | [
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DeepPavlov/bert-base-cased-conversational | 2021-11-08T13:07:31.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"en",
"endpoints_compatible",
"region:us"
] | feature-extraction | DeepPavlov | null | null | DeepPavlov/bert-base-cased-conversational | 7 | 1,779 | transformers | 2022-03-02T23:29:04 | ---
language: en
---
# bert-base-cased-conversational
Conversational BERT \(English, cased, 12‑layer, 768‑hidden, 12‑heads, 110M parameters\) was trained on the English part of Twitter, Reddit, DailyDialogues\[1\], OpenSubtitles\[2\], Debates\[3\], Blogs\[4\], Facebook News Comments. We used this training data to bui... | 1,199 | [
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0.00... |
Muennighoff/SGPT-2.7B-weightedmean-msmarco-specb-bitfit | 2023-03-27T22:24:48.000Z | [
"sentence-transformers",
"pytorch",
"gpt_neo",
"feature-extraction",
"sentence-similarity",
"mteb",
"arxiv:2202.08904",
"model-index",
"endpoints_compatible",
"region:us"
] | sentence-similarity | Muennighoff | null | null | Muennighoff/SGPT-2.7B-weightedmean-msmarco-specb-bitfit | 3 | 1,779 | sentence-transformers | 2022-03-02T23:29:04 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
model-index:
- name: SGPT-2.7B-weightedmean-msmarco-specb-bitfit
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactual... | 65,465 | [
[
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0.0166015625,
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OpenAssistant/falcon-7b-sft-mix-2000 | 2023-06-06T10:32:55.000Z | [
"transformers",
"pytorch",
"RefinedWebModel",
"text-generation",
"sft",
"custom_code",
"en",
"de",
"es",
"fr",
"dataset:OpenAssistant/oasst1",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | OpenAssistant | null | null | OpenAssistant/falcon-7b-sft-mix-2000 | 40 | 1,778 | transformers | 2023-06-05T04:48:05 | ---
license: apache-2.0
language:
- en
- de
- es
- fr
tags:
- sft
pipeline_tag: text-generation
widget:
- text: >-
<|prompter|>What is a meme, and what's the history behind this
word?<|endoftext|><|assistant|>
- text: <|prompter|>What's the Earth total population<|endoftext|><|assistant|>
- text: >-
<|promp... | 4,350 | [
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-0.0450439453125,
0.... |
AnjanaSivan/my-pet-cat-zxc | 2023-10-09T10:40:41.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | AnjanaSivan | null | null | AnjanaSivan/my-pet-cat-zxc | 0 | 1,778 | diffusers | 2023-10-09T10:36:41 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Cat-zxc Dreambooth model trained by AnjanaSivan following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: ISSAT-153
Sample pictures of this concept:
![0](https://hugging... | 432 | [
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-0.051422119140625,
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radames/stable-diffusion-2-1-unclip-img2img | 2023-05-17T00:55:03.000Z | [
"diffusers",
"stable-diffusion",
"image-to-image",
"arxiv:2112.10752",
"arxiv:1910.09700",
"license:openrail++",
"has_space",
"diffusers:StableUnCLIPImg2ImgPipeline",
"region:us"
] | image-to-image | radames | null | null | radames/stable-diffusion-2-1-unclip-img2img | 3 | 1,777 | diffusers | 2023-05-17T00:54:33 | ---
license: openrail++
tags:
- stable-diffusion
- image-to-image
pinned: true
duplicated_from: stabilityai/stable-diffusion-2-1-unclip
pipeline_tag: image-to-image
---
# Stable Diffusion v2-1-unclip Model Card
This model card focuses on the model associated with the Stable Diffusion v2-1 model, codebase available [he... | 8,223 | [
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xlm-mlm-100-1280 | 2023-01-24T14:49:58.000Z | [
"transformers",
"pytorch",
"tf",
"xlm",
"fill-mask",
"multilingual",
"en",
"es",
"fr",
"de",
"zh",
"ru",
"pt",
"it",
"ar",
"ja",
"id",
"tr",
"nl",
"pl",
"fa",
"vi",
"sv",
"ko",
"he",
"ro",
"no",
"hi",
"uk",
"cs",
"fi",
"hu",
"th",
"da",
"ca",
"el... | fill-mask | null | null | null | xlm-mlm-100-1280 | 2 | 1,776 | transformers | 2022-03-02T23:29:04 | ---
language:
- multilingual
- en
- es
- fr
- de
- zh
- ru
- pt
- it
- ar
- ja
- id
- tr
- nl
- pl
- fa
- vi
- sv
- ko
- he
- ro
- no
- hi
- uk
- cs
- fi
- hu
- th
- da
- ca
- el
- bg
- sr
- ms
- bn
- hr
- sl
- az
- sk
- eo
- ta
- sh
- lt
- et
- ml
- la
- bs
- sq
- arz
- af
- ka
- mr
- eu
- tl
- ang
- gl
- nn
- ur... | 6,077 | [
[
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0.00872802734375,
0.043365478515625,
-0.038482666015625,
-0.039947509765625,
-0.04647827148437... |
bigscience/bloomz | 2023-05-27T17:25:31.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bloom",
"text-generation",
"ak",
"ar",
"as",
"bm",
"bn",
"ca",
"code",
"en",
"es",
"eu",
"fon",
"fr",
"gu",
"hi",
"id",
"ig",
"ki",
"kn",
"lg",
"ln",
"ml",
"mr",
"ne",
"nso",
"ny",
"or",
"pa",
... | text-generation | bigscience | null | null | bigscience/bloomz | 466 | 1,776 | transformers | 2022-09-17T10:48:39 | ---
datasets:
- bigscience/xP3
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
- fon
- fr
- gu
- hi
- id
- ig
- ki
- kn
- lg
- ln
- ml
- mr
- ne
- nso
- ny
- or
- pa
- pt
- rn
- rw
- sn
- st
- sw
- ta
- te
- tn
- ts
- tum
- tw
- ur
- vi
- wo
- xh
- yo
- zh
- zu
programmi... | 24,746 | [
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0.0323486328125,
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-0.0687255859375,
-0.04022216796875,
-0.04058837890625,
0.01... |
Social-Media-Fairness/Classifier-Bias-SG | 2023-09-19T21:46:49.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"license:openrail",
"endpoints_compatible",
"region:us"
] | text-classification | Social-Media-Fairness | null | null | Social-Media-Fairness/Classifier-Bias-SG | 2 | 1,773 | transformers | 2023-09-15T00:38:53 | ---
license: openrail
---
# Classifier-Bias-SG Model Card
## Model Details
Classifier-Bias-SG is a proof of concept model designed to classify texts based on their bias levels. The model categorizes texts into 2 classes: "Biased", and "Non-Biased".
## Model Architecture
The model is built upon the distilbert-base-un... | 1,436 | [
[
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superb/wav2vec2-large-superb-ic | 2021-09-04T19:52:29.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"audio-classification",
"speech",
"audio",
"en",
"dataset:superb",
"arxiv:2105.01051",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-classification | superb | null | null | superb/wav2vec2-large-superb-ic | 0 | 1,771 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- superb
tags:
- speech
- audio
- wav2vec2
license: apache-2.0
---
# Wav2Vec2-Large for Intent Classification
## Model description
This is a ported version of [S3PRL's Wav2Vec2 for the SUPERB Intent Classification task](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream/fluent_com... | 3,183 | [
[
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timm/vit_base_patch32_clip_384.openai_ft_in12k_in1k | 2023-05-06T00:04:30.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:wit-400m",
"dataset:imagenet-12k",
"arxiv:2212.07143",
"arxiv:2103.00020",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch32_clip_384.openai_ft_in12k_in1k | 0 | 1,771 | timm | 2022-11-11T08:13:25 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- wit-400m
- imagenet-12k
---
# Model card for vit_base_patch32_clip_384.openai_ft_in12k_in1k
A Vision Transformer (ViT) image classification model. Pretrained on WIT-400M image-text pairs by OpenAI using CLIP. Fine-... | 4,436 | [
[
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TencentARC/t2i-adapter-depth-zoe-sdxl-1.0 | 2023-09-08T02:04:56.000Z | [
"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-depth-zoe-sdxl-1.0 | 6 | 1,769 | diffusers | 2023-09-03T14:40:32 | ---
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 - Depth-Zoe
T2I Adapter is a network providing additional conditioning to stable diffusion. Each t2i checkpoint takes a d... | 8,977 | [
[
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IsraelSalgado/cosmo-mom | 2023-10-26T12:03:20.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | IsraelSalgado | null | null | IsraelSalgado/cosmo-mom | 1 | 1,769 | diffusers | 2023-10-16T11:18:31 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Cosmo_mom Dreambooth model trained by IsraelSalgado with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Col... | 2,185 | [
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-0.046142578125,
-0.012565... |
Salesforce/codet5p-220m-py | 2023-05-16T00:35:12.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"arxiv:2305.07922",
"license:bsd-3-clause",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Salesforce | null | null | Salesforce/codet5p-220m-py | 8 | 1,768 | transformers | 2023-05-15T09:57:52 | ---
license: bsd-3-clause
---
# CodeT5+ 220M (further tuned on Python)
## Model description
[CodeT5+](https://github.com/salesforce/CodeT5/tree/main/CodeT5+) is a new family of open code large language models with an encoder-decoder architecture that can flexibly operate in different modes (i.e. _encoder-only_, _dec... | 5,012 | [
[
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0.0... |
KRAFTON/KORani-v2-13B | 2023-05-08T07:23:25.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"vicuna",
"KoVicuna",
"KORani",
"ko",
"en",
"arxiv:2302.13971",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | KRAFTON | null | null | KRAFTON/KORani-v2-13B | 2 | 1,767 | transformers | 2023-04-26T06:52:01 | ---
license: apache-2.0
language:
- ko
- en
pipeline_tag: text-generation
tags:
- vicuna
- llama
- KoVicuna
- KORani
---
# KORani-v2-13B
**`v1,2,3` doesn't mean the best or most recent model**
- KORani: Large Language Models for 🇰🇷 Korean and 🇺🇸 English using LLaMA 13B and Polyglot 12.8B.
- Tested which LLM is ef... | 6,904 | [
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Ankita11111yadav/my-pet-rabbit | 2023-10-17T03:07:31.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Ankita11111yadav | null | null | Ankita11111yadav/my-pet-rabbit | 0 | 1,767 | diffusers | 2023-10-17T03:03:02 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Rabbit Dreambooth model trained by Ankita11111yadav following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: SIETM96
Sample pictures of this concept:
![0](https://huggi... | 407 | [
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0.01524... |
keerthana132/my-pet-cat | 2023-10-18T07:44:50.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | keerthana132 | null | null | keerthana132/my-pet-cat | 0 | 1,767 | diffusers | 2023-10-18T07:39:22 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### my-pet-cat Dreambooth model trained by keerthana132 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](https://huggi... | 499 | [
[
-0.05859375,
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0.00731... |
timm/convnextv2_atto.fcmae_ft_in1k | 2023-03-31T23:03:20.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_atto.fcmae_ft_in1k | 0 | 1,766 | timm | 2023-01-05T01:37:28 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_atto.fcmae_ft_in1k
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-1k.
#... | 15,784 | [
[
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llm-jp/llm-jp-13b-instruct-full-jaster-v1.0 | 2023-10-20T08:16:34.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"en",
"ja",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | llm-jp | null | null | llm-jp/llm-jp-13b-instruct-full-jaster-v1.0 | 13 | 1,764 | transformers | 2023-10-18T13:59:09 | ---
license: apache-2.0
language:
- en
- ja
programming_language:
- C
- C++
- C#
- Go
- Java
- JavaScript
- Lua
- PHP
- Python
- Ruby
- Rust
- Scala
- TypeScript
library_name: transformers
pipeline_tag: text-generation
inference: false
---
# llm-jp-13b-instruct-full-jaster-v1.0
This repos... | 5,923 | [
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openchat/openchat_3.5 | 2023-11-05T12:43:15.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"arxiv:2309.11235",
"arxiv:2303.08774",
"arxiv:2212.10560",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | openchat | null | null | openchat/openchat_3.5 | 315 | 1,764 | transformers | 2023-10-30T05:59:34 | ---
license: apache-2.0
---
# OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
<div align="center">
<img src="https://raw.githubusercontent.com/imoneoi/openchat/master/assets/logo_new.png" style="width: 65%">
</div>
<p align="center">
<a href="https://github.com/imoneoi/openchat">GitHub Re... | 12,018 | [
[
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andreaskoepf/pythia-1.4b-gpt4all-pretrain | 2023-04-04T15:21:13.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | andreaskoepf | null | null | andreaskoepf/pythia-1.4b-gpt4all-pretrain | 6 | 1,763 | transformers | 2023-04-04T15:15:30 | ---
license: apache-2.0
---
wandb: https://wandb.ai/open-assistant/supervised-finetuning/runs/t2adm3wu
checkpoint: 11000 step (2 epochs)
datasets:
```
pretrain:
weight_decay: 0.01
use_custom_sampler: true
sort_by_length: false
datasets:
- joke
- webgpt:
val_split: 0.1
- gpt4all:
v... | 1,317 | [
[
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0.02813720703125,
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-0.03631591796875,
-0.047698974609375,
-0.01091766... |
Jenica/the-barn-owl | 2023-10-29T07:36:17.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Jenica | null | null | Jenica/the-barn-owl | 1 | 1,763 | diffusers | 2023-10-29T07:31:40 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### The-barn-owl Dreambooth model trained by Jenica following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: SFIT-80
Sample pictures of this concept:
![0](https://huggingface.co/J... | 393 | [
[
-0.031585693359375,
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timm/efficientvit_b1.r224_in1k | 2023-08-18T22:44:46.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2205.14756",
"license:apache-2.0",
"has_space",
"region:us"
] | image-classification | timm | null | null | timm/efficientvit_b1.r224_in1k | 0 | 1,762 | timm | 2023-08-18T22:44:38 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientvit_b1.r224_in1k
An EfficientViT (MIT) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- ... | 3,663 | [
[
-0.03216552734375,
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fnlp/SpeechGPT-7B-cm | 2023-09-15T11:06:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2305.11000",
"arxiv:2308.16692",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | fnlp | null | null | fnlp/SpeechGPT-7B-cm | 1 | 1,760 | transformers | 2023-09-14T13:43:16 | # SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
<a href='https://0nutation.github.io/SpeechGPT.github.io/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> <a href='https://arxiv.org/abs/2305.11000'><img src='https://img.shields.io/badge/Paper-Arxiv-red... | 17,460 | [
[
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-0.01446533203125,
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-0.0031795501708984375,
-0.032073974609375,
0.0195770263671875,
0.0203094482421875,
-0.054168701171875,
-0.0108184814453125,
-0.0559997558... |
nickmuchi/segformer-b4-finetuned-segments-sidewalk | 2022-03-21T07:32:43.000Z | [
"transformers",
"pytorch",
"tensorboard",
"segformer",
"vision",
"image-segmentation",
"generated_from_trainer",
"dataset:segments/sidewalk-semantic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"has_space"
] | image-segmentation | nickmuchi | null | null | nickmuchi/segformer-b4-finetuned-segments-sidewalk | 5 | 1,759 | transformers | 2022-03-20T06:54:20 | ---
license: apache-2.0
tags:
- vision
- image-segmentation
- generated_from_trainer
widget:
- src: https://drive.google.com/uc?id=1-ae6Vtvs-fO1j0D2kxEDX4rKxRipda2j
example_title: Sidewalk with traffic
- src: https://drive.google.com/uc?id=1-dwxxF6LzbEvATr_mwvrAjot-DdBLAM4
example_title: Sidewalk with buildings
dat... | 91,893 | [
[
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-0.046661376953125,
-0.00... |
maywell/Synatra-7B-Instruct-v0.2 | 2023-10-24T12:56:23.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | maywell | null | null | maywell/Synatra-7B-Instruct-v0.2 | 6 | 1,757 | transformers | 2023-10-12T02:29:48 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
# **Synatra-7B-Instruct-v0.2**
Made by StableFluffy
**Contact (Do not Contact for personal things.)**
Discord : is.maywell
Telegram : AlzarTakkarsen
## License
This model is strictly [*non-commercial*](https:/... | 2,818 | [
[
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0.0059509... |
TheBloke/Llama-2-70B-LoRA-Assemble-v2-AWQ | 2023-09-27T12:51:12.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-70B-LoRA-Assemble-v2-AWQ | 1 | 1,754 | transformers | 2023-09-19T09:34:18 | ---
license: llama2
model_name: Llama 2 70B LoRA Assemble v2
base_model: oh-yeontaek/llama-2-70B-LoRA-assemble-v2
inference: false
model_creator: oh-yeontaek
model_type: llama
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; ma... | 10,254 | [
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llm-book/bert-base-japanese-v3-marc_ja | 2023-07-24T06:49:13.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"ja",
"dataset:llm-book/JGLUE",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | llm-book | null | null | llm-book/bert-base-japanese-v3-marc_ja | 1 | 1,753 | transformers | 2023-06-01T14:29:06 | ---
language:
- ja
license: apache-2.0
library_name: transformers
datasets:
- llm-book/JGLUE
pipeline_tag: text-classification
---
# bert-base-japanese-v3-marc_ja
「[大規模言語モデル入門](https://www.amazon.co.jp/dp/4297136333)」の第5章で紹介している(感情分析)のモデルです。
[cl-tohoku/bert-base-japanese-v3](https://huggingface.co/cl-tohoku/bert-base... | 1,314 | [
[
-0.036376953125,
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-0.06524658203125,
-0.040618896484375,
0.01513671... |
Salesforce/codet5p-16b | 2023-08-04T02:44:48.000Z | [
"transformers",
"pytorch",
"codet5p",
"text2text-generation",
"custom_code",
"arxiv:2305.07922",
"license:bsd-3-clause",
"autotrain_compatible",
"has_space",
"region:us"
] | text2text-generation | Salesforce | null | null | Salesforce/codet5p-16b | 53 | 1,752 | transformers | 2023-05-17T02:23:58 | ---
license: bsd-3-clause
---
# CodeT5+ 16B
## Model description
[CodeT5+](https://github.com/salesforce/CodeT5/tree/main/CodeT5+) is a new family of open code large language models with an encoder-decoder architecture that can flexibly operate in different modes (i.e. _encoder-only_, _decoder-only_, and _encoder-de... | 5,242 | [
[
-0.031005859375,
-0.0355224609375,
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-0.0313720703125,
-0.04656982421875,
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0.0184478759765625,
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-0.0455322265625,
-0.034881591796875,
0.01286315... |
TaylorAI/bge-micro | 2023-10-07T06:59:56.000Z | [
"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 | 13 | 1,751 | sentence-transformers | 2023-10-07T06:46:18 | ---
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... | 65,694 | [
[
-0.02685546875,
-0.0601806640625,
0.0227508544921875,
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-0.042144775390625,
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-0.... |
adhejeb/my-pet-dog-xzg | 2023-10-24T07:42:11.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | adhejeb | null | null | adhejeb/my-pet-dog-xzg | 0 | 1,751 | diffusers | 2023-10-24T07:37:33 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog-xzg Dreambooth model trained by adhejeb following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: FXEC-19
Sample pictures of this concept:
![0](https://huggingface.c... | 397 | [
[
-0.06640625,
-0.0300750732421875,
0.0264892578125,
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-0.04498291015625,
0.050445556640625,
0.029052734375,
-0.051055908203125,
-0.032562255859375,
-0.0222320556640625,
-0.00113868... |
microsoft/xlm-align-base | 2021-08-04T15:23:10.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | microsoft | null | null | microsoft/xlm-align-base | 7 | 1,750 | transformers | 2022-03-02T23:29:05 | # XLM-Align
**XLM-Align** (ACL 2021, [paper](https://aclanthology.org/2021.acl-long.265/), [repo](https://github.com/CZWin32768/XLM-Align), [model](https://huggingface.co/microsoft/xlm-align-base)) Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
XLM-Align is a pretrained cross-lingu... | 1,895 | [
[
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0.0135650634765625,
0.0208740234375,
-0.04718017578125,
-0.05181884765625,
-0.042816162109375,
... |
facebook/blenderbot-1B-distill | 2023-03-30T16:12:16.000Z | [
"transformers",
"pytorch",
"blenderbot",
"text2text-generation",
"convAI",
"conversational",
"facebook",
"en",
"dataset:blended_skill_talk",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | conversational | facebook | null | null | facebook/blenderbot-1B-distill | 33 | 1,749 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
thumbnail:
tags:
- convAI
- conversational
- facebook
license: apache-2.0
datasets:
- blended_skill_talk
metrics:
- perplexity
---
## Model description
+ Paper: [Recipes for building an open-domain chatbot](https://arxiv.org/abs/1907.06616)
+ [Original PARLAI Code](https://parl.ai/projects/recipes... | 1,450 | [
[
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0.050262451171875,
-0.02069091796875,
-0.019561767578125,
-0.057037353515625,
... |
apple/mobilevit-xx-small | 2022-08-29T07:57:57.000Z | [
"transformers",
"pytorch",
"tf",
"coreml",
"mobilevit",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2110.02178",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | apple | null | null | apple/mobilevit-xx-small | 8 | 1,749 | transformers | 2022-05-30T12:46:35 | ---
license: other
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https://hu... | 4,831 | [
[
-0.05047607421875,
-0.016693115234375,
-0.0169830322265625,
-0.0041656494140625,
-0.040252685546875,
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-0.032958984375,
0.046417236328125,
0.01171112060546875,
-0.034637451171875,
-0.02215576171875,
-0.038726806640625,
... |
jinaai/jina-embedding-s-en-v1 | 2023-10-13T12:40:43.000Z | [
"sentence-transformers",
"pytorch",
"t5",
"finetuner",
"mteb",
"feature-extraction",
"sentence-similarity",
"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-s-en-v1 | 23 | 1,747 | sentence-transformers | 2023-07-06T11:37:14 | ---
pipeline_tag: sentence-similarity
tags:
- finetuner
- mteb
- sentence-transformers
- feature-extraction
- sentence-similarity
datasets:
- jinaai/negation-dataset
language: en
license: apache-2.0
model-index:
- name: jina-embedding-s-en-v1
results:
- task:
type: Classification
dataset:
... | 67,461 | [
[
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0.020599365234375,
0.0103607177734375,
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-0.0182952880859375,
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0.043121337890625,
0.00390625,
-0.038177490234375,
-0.034332275390625,
-0.048828125,
0.00855255126... |
Yntec/RadiantVibes | 2023-08-28T10:30:39.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Fantasy",
"Artwork",
"Landscape",
"Hivemind111",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/RadiantVibes | 2 | 1,747 | diffusers | 2023-08-28T10:01:38 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- Fantasy
- Artwork
- Landscape
- Hivemind111
inference: true
---
# Radiant Vibes
FP16-no-ema version of this model.
Sample images and prompt:
!... | 932 | [
[
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0.037872314453125,
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0.05224609375,
-0.06829833984375,
-0.045928955078125,
-0.0170745849609375,
0.0156402587... |
savasy/bert-base-turkish-sentiment-cased | 2023-06-22T14:42:55.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"text-classification",
"tr",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | savasy | null | null | savasy/bert-base-turkish-sentiment-cased | 20 | 1,746 | transformers | 2022-03-02T23:29:05 | ---
language: tr
---
# Bert-base Turkish Sentiment Model
https://huggingface.co/savasy/bert-base-turkish-sentiment-cased
This model is used for Sentiment Analysis, which is based on BERTurk for Turkish Language https://huggingface.co/dbmdz/bert-base-turkish-cased
## Dataset
The dataset is taken from the studies [[... | 5,000 | [
[
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0.01354217529296875,
-0.042144775390625,
-0.059356689453125,
-0.054443359375,
-... |
google/bigbird-roberta-large | 2021-06-02T14:49:29.000Z | [
"transformers",
"pytorch",
"jax",
"big_bird",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"dataset:cc_news",
"arxiv:2007.14062",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | google | null | null | google/bigbird-roberta-large | 19 | 1,745 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
- cc_news
---
# BigBird large model
BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the capabilities... | 2,855 | [
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0.0218658447265625,
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-0.0124969482421875,
-0.05908203125,
0.01326751... |
sail-rvc/Central_Cee__RVC_-_1000_Epochs_ | 2023-07-14T07:20:16.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/Central_Cee__RVC_-_1000_Epochs_ | 0 | 1,745 | transformers | 2023-07-14T07:19:57 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# Central_Cee__RVC_-_1000_Epochs_
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:20:16
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reaso... | 399 | [
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digiplay/AI-infinity-V1-fp16 | 2023-08-04T18:12:02.000Z | [
"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/AI-infinity-V1-fp16 | 6 | 1,743 | diffusers | 2023-08-03T13:31:17 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/121253/ai-infinity-realistic-better-hands
DEMO image generated by huggingface's API :
![f7174472-7ca7-4a01-a4f9-b5dec059c81c.jpeg](https://cdn-uploads.huggi... | 722 | [
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gbellamy/lora-trained-xl-colab_2 | 2023-09-30T17:18:45.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"license:openrail++",
"has_space",
"region:us"
] | text-to-image | gbellamy | null | null | gbellamy/lora-trained-xl-colab_2 | 2 | 1,743 | diffusers | 2023-09-30T14:36:01 |
---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a photo of suezzeus dog
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - gbellamy/lora-trained-xl-colab_2
These are LoRA adaption wei... | 674 | [
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irfansk/my-pet-dog | 2023-10-18T07:48:21.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | irfansk | null | null | irfansk/my-pet-dog | 0 | 1,743 | diffusers | 2023-10-18T07:44:07 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by irfansk following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](https://huggingface.c... | 385 | [
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Falah/female | 2023-10-23T09:49:16.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Falah | null | null | Falah/female | 0 | 1,742 | diffusers | 2023-10-23T09:44:45 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### female Dreambooth model trained by Falah with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Co... | 493 | [
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akreal/tiny-random-gpt2 | 2021-08-18T15:07:44.000Z | [
"transformers",
"pytorch",
"tf",
"gpt2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | akreal | null | null | akreal/tiny-random-gpt2 | 0 | 1,741 | transformers | 2022-03-02T23:29:05 | This is a copy of: https://huggingface.co/hf-internal-testing/tiny-random-gpt2
Changes: use old format for `pytorch_model.bin`.
| 129 | [
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vinai/vinai-translate-vi2en | 2022-07-06T07:19:15.000Z | [
"transformers",
"pytorch",
"tf",
"mbart",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | vinai | null | null | vinai/vinai-translate-vi2en | 3 | 1,739 | transformers | 2022-07-01T03:29:14 | # A Vietnamese-English Neural Machine Translation System
Our pre-trained VinAI Translate models `vinai/vinai-translate-vi2en` and `vinai/vinai-translate-en2vi` are state-of-the-art text translation models for Vietnamese-to-English and English-to-Vietnamese, respectively. The general architecture and experimental resul... | 1,188 | [
[
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timm/efficientvit_m5.r224_in1k | 2023-08-18T23:22:16.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2305.07027",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/efficientvit_m5.r224_in1k | 0 | 1,739 | timm | 2023-08-18T23:21:57 | ---
tags:
- image-classification
- timm
library_name: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for efficientvit_m5.r224_in1k
An EfficientViT (MSRA) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | 3,765 | [
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akreal/tiny-random-xlnet | 2021-08-18T15:08:21.000Z | [
"transformers",
"pytorch",
"tf",
"xlnet",
"endpoints_compatible",
"region:us"
] | null | akreal | null | null | akreal/tiny-random-xlnet | 0 | 1,738 | transformers | 2022-03-02T23:29:05 | This is a copy of: https://huggingface.co/hf-internal-testing/tiny-random-xlnet
Changes: use old format for `pytorch_model.bin`.
| 130 | [
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IIC/dpr-spanish-passage_encoder-allqa-base | 2022-04-02T15:05:07.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"sentence similarity",
"passage retrieval",
"es",
"dataset:squad_es",
"dataset:PlanTL-GOB-ES/SQAC",
"dataset:IIC/bioasq22_es",
"arxiv:2004.04906",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | IIC | null | null | IIC/dpr-spanish-passage_encoder-allqa-base | 2 | 1,738 | transformers | 2022-03-27T15:23:12 | ---
language:
- es
tags:
- sentence similarity # Example: audio
- passage retrieval # Example: automatic-speech-recognition
datasets:
- squad_es
- PlanTL-GOB-ES/SQAC
- IIC/bioasq22_es
metrics:
- eval_loss: 0.010779764448327261
- eval_accuracy: 0.9982682224158297
- eval_f1: 0.9446059155411182
- average_rank: 0.117285... | 4,600 | [
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0.027740478515... |
linhvu/decapoda-research-llama-7b-hf | 2023-05-30T03:20:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | linhvu | null | null | linhvu/decapoda-research-llama-7b-hf | 2 | 1,738 | transformers | 2023-05-30T03:18:15 | ---
license: other
duplicated_from: decapoda-research/llama-7b-hf
---
LLaMA-7B converted to work with Transformers/HuggingFace. This is under a special license, please see the LICENSE file for details.
--
license: other
---
# LLaMA Model Card
## Model details
**Organization developing the model**
The FAIR team of Me... | 8,355 | [
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0.015... |
projecte-aina/aguila-7b | 2023-10-31T15:33:31.000Z | [
"transformers",
"pytorch",
"safetensors",
"RefinedWebModel",
"text-generation",
"aguila",
"falcon",
"spanish",
"catalan",
"custom_code",
"en",
"es",
"ca",
"model-index",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | projecte-aina | null | null | projecte-aina/aguila-7b | 27 | 1,738 | transformers | 2023-07-05T13:29:04 | ---
language:
- en
- es
- ca
licence:
- apache-2.0
tags:
- aguila
- falcon
- spanish
- catalan
metrics:
- ppl
model-index:
- name: aguila_7b
results:
- task:
name: Causal Language Modeling
type: text-generation
metrics:
- name: Perplexity
type: ppl
value: 8.59
pipeline_tag: text-gene... | 8,744 | [
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0.... |
mokshu3242/my-pet-mouse | 2023-10-14T11:23:52.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | mokshu3242 | null | null | mokshu3242/my-pet-mouse | 0 | 1,737 | diffusers | 2023-10-14T11:00:47 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### mok: My-Pet-Mouse Dreambooth model trained by mokshu3242 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: VCETV127
Sample pictures of this concept:
![image/jpeg](https:/... | 543 | [
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-0.0010967254638671875... |
chcaa/dfm-encoder-large-v1 | 2023-06-21T21:35:54.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"fill-mask",
"large",
"danish",
"mlm",
"da",
"arxiv:1706.03762",
"arxiv:1810.04805",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | chcaa | null | null | chcaa/dfm-encoder-large-v1 | 4 | 1,735 | transformers | 2023-01-04T10:06:06 | ---
license: cc-by-4.0
metrics:
- accuracy
model-index:
- name: dfm-encoder-large-v1
results:
- task:
name: Masked Language Modeling
type: fill-mask
datasets:
- netarkivet_text_v1
- danews_v1
- hopetwitter_v1
- DDSC/dagw_reddit_filtered_v1.0.0
metrics:
- name: Accuracy
... | 11,258 | [
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0.0258026123046875,
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... |
showlab/show-1-base | 2023-10-12T03:56:59.000Z | [
"diffusers",
"text-to-video",
"arxiv:2309.15818",
"license:cc-by-nc-4.0",
"has_space",
"diffusers:TextToVideoIFPipeline",
"region:us"
] | text-to-video | showlab | null | null | showlab/show-1-base | 8 | 1,735 | diffusers | 2023-10-10T16:56:09 | ---
license: cc-by-nc-4.0
tags:
- text-to-video
---
# show-1-base
Pixel-based VDMs can generate motion accurately aligned with the textual prompt but typically demand expensive computational costs in terms of time and GPU memory, especially when generating high-resolution videos. Latent-based VDMs are more resourc... | 3,237 | [
[
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valhalla/emoji-diffusion | 2023-05-16T09:29:09.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:bigscience-bloom-rail-1.0",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | valhalla | null | null | valhalla/emoji-diffusion | 61 | 1,734 | diffusers | 2022-11-17T11:41:09 | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
widget:
- text: "a unicorn Llama emoji"
example_title: Llama Emoji
- text: "emoji pokemon"
example_title: Pokemon Emoji
- text: "snowy montain emoji"
example_title: snowy montain emoji
- text: "a snail shaped harp emoji"
example_title: Snail-shaped har... | 2,604 | [
[
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0.03900146484375,
-0.038055419921875,
-0.035369873046875,
-0.0574951171875,
0.0073... |
timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384 | 2023-03-31T22:15:57.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:laion-2b",
"arxiv:2210.08402",
"arxiv:2201.03545",
"arxiv:2103.00020",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384 | 1 | 1,734 | timm | 2023-02-07T05:56:54 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- laion-2b
---
# Model card for convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384
A ConvNeXt image classification model. CLIP image tower weights pretrained in [OpenCLIP](https://github.com/mlfoundations/open_clip) o... | 18,539 | [
[
-0.0616455078125,
-0.035247802734375,
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-0.01544952392578125,
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0.058013916015625,
0.0207977294921875,
-0.04217529296875,
-0.044525146484375,
-0.05419921875,
... |
stablediffusionapi/portrait-realistic-sdxl | 2023-10-02T03:47:27.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/portrait-realistic-sdxl | 0 | 1,734 | diffusers | 2023-10-02T03:45:39 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Portrait-realistic-SDXL API Inference
... | 2,529 | [
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timm/efficientnet_es_pruned.in1k | 2023-04-27T21:12:15.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.02838",
"arxiv:1905.11946",
"arxiv:2002.08258",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_es_pruned.in1k | 0 | 1,733 | timm | 2022-12-12T23:58:15 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_es_pruned.in1k
A EfficientNet-EdgeTPU image classification model. Knapsack pruned from existing weights.
## Model Details
- **Model Type:** Image classification / feature backbone
... | 4,584 | [
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akreal/tiny-random-mpnet | 2021-08-18T15:08:05.000Z | [
"transformers",
"pytorch",
"tf",
"mpnet",
"endpoints_compatible",
"region:us"
] | null | akreal | null | null | akreal/tiny-random-mpnet | 0 | 1,732 | transformers | 2022-03-02T23:29:05 | This is a copy of: https://huggingface.co/hf-internal-testing/tiny-random-mpnet
Changes: use old format for `pytorch_model.bin`.
| 130 | [
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sanchit-gandhi/whisper-medium-fleurs-lang-id | 2023-09-11T13:25:16.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"whisper",
"audio-classification",
"generated_from_trainer",
"dataset:xtreme_s",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | sanchit-gandhi | null | null | sanchit-gandhi/whisper-medium-fleurs-lang-id | 5 | 1,731 | transformers | 2023-02-23T13:37:22 | ---
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
datasets:
- xtreme_s
metrics:
- accuracy
base_model: openai/whisper-medium
model-index:
- name: whisper-medium-fleurs-lang-id
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer ha... | 2,016 | [
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MCG-NJU/videomae-huge-finetuned-kinetics | 2023-04-22T11:32:55.000Z | [
"transformers",
"pytorch",
"videomae",
"video-classification",
"vision",
"arxiv:2203.12602",
"arxiv:2111.06377",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | video-classification | MCG-NJU | null | null | MCG-NJU/videomae-huge-finetuned-kinetics | 0 | 1,730 | transformers | 2023-04-16T11:08:12 | ---
license: "cc-by-nc-4.0"
tags:
- vision
- video-classification
---
# VideoMAE (huge-sized model, fine-tuned on Kinetics-400)
VideoMAE model pre-trained for 1600 epochs in a self-supervised way and fine-tuned in a supervised way on Kinetics-400. It was introduced in the paper [VideoMAE: Masked Autoencoders are Dat... | 3,584 | [
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pavani8/my-pet-dog | 2023-10-18T07:54:37.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | pavani8 | null | null | pavani8/my-pet-dog | 0 | 1,729 | diffusers | 2023-10-18T07:49:06 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by pavani8 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](https://huggingface.c... | 388 | [
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... |
gustavorayo/ryo-takemasa | 2023-10-21T15:07:27.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | gustavorayo | null | null | gustavorayo/ryo-takemasa | 0 | 1,728 | diffusers | 2023-10-21T15:02:51 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### ryo-takemasa Dreambooth model trained by gustavorayo with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Co... | 505 | [
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craigdsouza/my-uig-racecar | 2023-10-28T15:26:36.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | craigdsouza | null | null | craigdsouza/my-uig-racecar | 1 | 1,728 | diffusers | 2023-10-28T15:20:11 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-UIG-racecar Dreambooth model trained by craigdsouza following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: SFIT-75
Sample pictures of this concept:
![0](https://... | 708 | [
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0.... |
hfl/chinese-electra-180g-small-ex-discriminator | 2021-03-03T01:25:29.000Z | [
"transformers",
"pytorch",
"tf",
"electra",
"zh",
"arxiv:2004.13922",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | hfl | null | null | hfl/chinese-electra-180g-small-ex-discriminator | 5 | 1,727 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
license: "apache-2.0"
---
# This model is trained on 180G data, we recommend using this one than the original version.
## Chinese ELECTRA
Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively competitive performance compa... | 1,964 | [
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0.0098495483398... |
johnslegers/epic-diffusion-v1.1 | 2023-01-21T06:08:01.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | johnslegers | null | null | johnslegers/epic-diffusion-v1.1 | 44 | 1,727 | diffusers | 2023-01-21T01:27:22 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
extra_gated_prompt: |-
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. ... | 33,819 | [
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Shivraj1/my-pet-parrot | 2023-10-24T08:46:40.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Shivraj1 | null | null | Shivraj1/my-pet-parrot | 0 | 1,727 | diffusers | 2023-10-24T08:42:02 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Parrot Dreambooth model trained by Shivraj1 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: NSU-288
Sample pictures of this concept:
![0](https://huggingface.c... | 450 | [
[
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0.01... |
sshleifer/distilbart-xsum-1-1 | 2021-06-14T07:53:57.000Z | [
"transformers",
"pytorch",
"tf",
"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-1-1 | 0 | 1,725 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- summarization
license: apache-2.0
datasets:
- cnn_dailymail
- xsum
thumbnail: https://huggingface.co/front/thumbnails/distilbart_medium.png
---
### Usage
This checkpoint should be loaded into `BartForConditionalGeneration.from_pretrained`. See the [BART docs](https://huggingface.co/transforme... | 1,705 | [
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0.028900146484375,
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-0.039337158203125,
-0.0546875,
-0.01164... |
Yntec/GalenaVAE | 2023-08-04T02:38:57.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"schneed",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/GalenaVAE | 2 | 1,725 | diffusers | 2023-08-04T02:04:35 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- schneed
---
# Galena Blend 1.0 VAE
This model with the Color 101 VAE baked in.
Original pages:
https://civitai.com/models/16300?modelVersionId=19... | 324 | [
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-0.029... |
Salesforce/mixqg-3b | 2021-10-18T16:19:00.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"arxiv:2110.08175",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Salesforce | null | null | Salesforce/mixqg-3b | 8 | 1,722 | transformers | 2022-03-02T23:29:04 | ---
language: en
widget:
- text: Robert Boyle \\n In the late 17th century, Robert Boyle proved that air is necessary for combustion.
---
# MixQG (3b-sized model)
MixQG is a new question generation model pre-trained on a collection of QA datasets with a mix of answer types. It was introduced in the paper [MixQG: Neural... | 2,144 | [
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0.000041... |
Salesforce/codet5-base-multi-sum | 2022-10-18T14:18:03.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"codet5",
"dataset:code_search_net",
"arxiv:2109.00859",
"arxiv:1909.09436",
"arxiv:1907.11692",
"arxiv:2002.08155",
"license:bsd-3-clause",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
... | text2text-generation | Salesforce | null | null | Salesforce/codet5-base-multi-sum | 24 | 1,721 | transformers | 2022-03-02T23:29:04 | ---
license: bsd-3-clause
tags:
- codet5
datasets:
- code_search_net
inference: true
---
# CodeT5-base for Code Summarization
[CodeT5-base](https://huggingface.co/Salesforce/codet5-base) model fine-tuned on CodeSearchNet data in a multi-lingual training setting (
Ruby/JavaScript/Go/Python/Java/PHP) for code summariza... | 4,920 | [
[
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-0.05902099609375,
-0.0354614257812... |
speechbrain/emotion-recognition-wav2vec2-IEMOCAP | 2023-07-23T02:21:35.000Z | [
"speechbrain",
"audio-classification",
"Emotion",
"Recognition",
"wav2vec2",
"pytorch",
"en",
"dataset:iemocap",
"arxiv:2106.04624",
"license:apache-2.0",
"has_space",
"region:us"
] | audio-classification | speechbrain | null | null | speechbrain/emotion-recognition-wav2vec2-IEMOCAP | 59 | 1,721 | speechbrain | 2022-03-02T23:29:05 | ---
language: "en"
thumbnail:
tags:
- audio-classification
- speechbrain
- Emotion
- Recognition
- wav2vec2
- pytorch
license: "apache-2.0"
datasets:
- iemocap
metrics:
- Accuracy
inference: false
---
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2"... | 4,172 | [
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0.022064208984375,
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-0.0511474609375,
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-0... |
facebook/mask2former-swin-base-IN21k-ade-semantic | 2023-01-25T11:42:15.000Z | [
"transformers",
"pytorch",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"region:us"
] | image-segmentation | facebook | null | null | facebook/mask2former-swin-base-IN21k-ade-semantic | 2 | 1,721 | transformers | 2023-01-05T12:23:45 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- coco
widget:
- src: http://images.cocodataset.org/val2017/000000039769.jpg
example_title: Cats
- src: http://images.cocodataset.org/val2017/000000039770.jpg
example_title: Castle
---
# Mask2Former
Mask2Former model trained on ADE20k semantic segme... | 3,172 | [
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0.046661376953125,
-0.059326171875,
-0.03216552734375,
-0.0643310546875,
-0.02630... |
ai-forever/FRED-T5-1.7B | 2023-11-03T12:50:00.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"ru",
"arxiv:2309.10931",
"arxiv:2205.05131",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | ai-forever | null | null | ai-forever/FRED-T5-1.7B | 55 | 1,721 | transformers | 2023-01-20T12:43:26 | ---
language:
- ru
license: apache-2.0
---
# FRED-T5 1.7B (Full-scale Russian Enhanced Denoisers T5)
The model architecture design, pretraining, and evaluation are documented in our preprint: [**A Family of Pretrained Transformer Language Models for Russian**](https://arxiv.org/abs/2309.10931).
The model was traine... | 3,385 | [
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-0.0361328125,
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0.0115661... |
Namala/nxt | 2023-10-16T15:14:47.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Namala | null | null | Namala/nxt | 1 | 1,721 | diffusers | 2023-10-16T15:10:47 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### nxt Dreambooth model trained by Namala following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: SREC-AP-550
Sample pictures of this concept:
![0](https://huggingface.co/Namala... | 364 | [
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timm/mobilevit_xs.cvnets_in1k | 2023-04-24T22:23:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.02178",
"license:other",
"region:us"
] | image-classification | timm | null | null | timm/mobilevit_xs.cvnets_in1k | 0 | 1,716 | timm | 2023-04-24T22:23:14 | ---
tags:
- image-classification
- timm
library_name: timm
license: other
datasets:
- imagenet-1k
---
# Model card for mobilevit_xs.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... | 3,757 | [
[
-0.0299072265625,
-0.0176849365234375,
-0.006717681884765625,
0.00940704345703125,
-0.033538818359375,
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0.0254058837890625,
0.0290069580078125,
-0.036285400390625,
-0.05621337890625,
-0.0448608398437... |
botryan96/GeoBERT | 2022-12-15T09:20:54.000Z | [
"transformers",
"tf",
"bert",
"token-classification",
"generated_from_keras_callback",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | botryan96 | null | null | botryan96/GeoBERT | 3 | 1,715 | transformers | 2022-11-08T09:18:19 | ---
tags:
- generated_from_keras_callback
model-index:
- name: GeoBERT
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# GeoBERT
GeoBERT is a NER model that was fine-... | 2,613 | [
[
-0.03448486328125,
-0.05914306640625,
0.042694091796875,
-0.0012731552124023438,
-0.020294189453125,
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-0.0079345703125,
0.028045654296875,
0.0255126953125,
-0.0285797119140625,
-0.06280517578125,
-0.065673828125,
-0.0... |
fcakyon/yolov5s-v7.0 | 2022-12-20T09:51:11.000Z | [
"transformers",
"object-detection",
"computer-vision",
"vision",
"yolo",
"yolov5",
"dataset:detection-datasets/coco",
"license:gpl-3.0",
"region:us"
] | object-detection | fcakyon | null | null | fcakyon/yolov5s-v7.0 | 8 | 1,715 | transformers | 2022-12-13T21:26:21 | ---
license: gpl-3.0
inference: false
tags:
- object-detection
- computer-vision
- vision
- yolo
- yolov5
datasets:
- detection-datasets/coco
---
### How to use
- Install yolov5:
```bash
pip install -U yolov5
```
- Load model and perform prediction:
```python
import yolov5
# load model
model = yolov5.... | 1,336 | [
[
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0.0292816162109375,
-0.04168701171875,
-0.050445556640625,
-0.036956787109375,
... |
uer/roberta-base-finetuned-dianping-chinese | 2023-10-17T15:19:16.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"zh",
"arxiv:1909.05658",
"arxiv:2212.06385",
"arxiv:1708.02657",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | uer | null | null | uer/roberta-base-finetuned-dianping-chinese | 24 | 1,714 | transformers | 2022-03-02T23:29:05 | ---
language: zh
widget:
- text: "这本书真的很不错"
---
# Chinese RoBERTa-Base Models for Text Classification
## Model description
This is the set of 5 Chinese RoBERTa-Base classification models fine-tuned by [UER-py](https://github.com/dbiir/UER-py/), which is introduced in [this paper](https://arxiv.org/abs/1909.05658).... | 5,561 | [
[
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-0.03839111328125,
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0.0230865478515625,
-0.034820556640625,
-0.045440673828125,
-0.04119873046875,
0.006... |
TARUNBHATT/flan-t5-small-finetuned-squad | 2023-07-26T08:25:52.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"question-answering",
"generated_from_trainer",
"dataset:squad_v2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | question-answering | TARUNBHATT | null | null | TARUNBHATT/flan-t5-small-finetuned-squad | 0 | 1,712 | transformers | 2023-07-26T05:29:38 | ---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: flan-t5-small-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... | 1,342 | [
[
-0.033905029296875,
-0.041351318359375,
0.01149749755859375,
0.0100860595703125,
-0.020904541015625,
-0.01922607421875,
-0.0140380859375,
-0.0247650146484375,
0.003997802734375,
0.021087646484375,
-0.070068359375,
-0.033660888671875,
-0.039886474609375,
0.00... |
Yntec/CitrineDreamMix | 2023-09-17T12:42:27.000Z | [
"diffusers",
"anime",
"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/CitrineDreamMix | 2 | 1,712 | diffusers | 2023-09-17T11:33:13 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anime
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Critine Dream Mix
Original page: https://civitai.com/models/18116?modelVersionId=21839
Samples and prompt:
![Sample](https://cdn-uplo... | 829 | [
[
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0.03759765625,
-0.0278472900390625,
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-0.050384521484375,
0.07293701171875,
0.052734375,
-0.04803466796875,
-0.040374755859375,
-0.055572509765625,
-0.0169219... |
haoranxu/ALMA-7B-Pretrain | 2023-10-27T05:10:58.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2309.11674",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | haoranxu | null | null | haoranxu/ALMA-7B-Pretrain | 1 | 1,710 | transformers | 2023-09-17T17:42:40 | ---
license: mit
---
**ALMA** (**A**dvanced **L**anguage **M**odel-based tr**A**nslator) is an LLM-based translation model, which adopts a new translation model paradigm: it begins with fine-tuning on monolingual data and is further optimized using high-quality parallel data. This two-step fine-tuning process ensures s... | 3,636 | [
[
-0.0205841064453125,
-0.036468505859375,
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0.029266357421875,
-0.03753662109375,
-0.004199981689453125,
-0.00818634033203125,
-0.038421630859375,
0.02252197265625,
0.034027099609375,
-0.04541015625,
-0.0584716796875,
-0.05133056640625,
0.0... |
Intel/neural-chat-7b-v1-1 | 2023-09-08T01:05:30.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"custom_code",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | Intel | null | null | Intel/neural-chat-7b-v1-1 | 4 | 1,708 | transformers | 2023-07-06T05:20:07 | ---
license: apache-2.0
---
<!-- 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. -->
This model is a fine-tuned model for Chat based on [mosaicml/mpt-7b](https://huggingface.co/mosaicml/mp... | 4,449 | [
[
-0.0157318115234375,
-0.06640625,
0.0101165771484375,
0.036163330078125,
-0.0162811279296875,
-0.0194091796875,
-0.03204345703125,
-0.028289794921875,
0.01114654541015625,
0.0114898681640625,
-0.0494384765625,
-0.044097900390625,
-0.048583984375,
-0.01541137... |
charannamani/my-pet-xyg | 2023-10-17T14:12:25.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | charannamani | null | null | charannamani/my-pet-xyg | 0 | 1,707 | diffusers | 2023-10-09T08:34:29 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-xyg Dreambooth model trained by charannamani following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: KMEC 572
Sample pictures of this concept:
![0](https://huggingface... | 397 | [
[
-0.048736572265625,
-0.0098114013671875,
0.028564453125,
-0.00437164306640625,
-0.0164642333984375,
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0.028961181640625,
-0.0333251953125,
0.05242919921875,
0.037445068359375,
-0.05072021484375,
-0.030548095703125,
-0.01953125,
0.0041007995605... |
sail-rvc/BritneySpears2333333 | 2023-07-14T07:19:39.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/BritneySpears2333333 | 0 | 1,706 | transformers | 2023-07-14T07:19:20 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# BritneySpears2333333
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:19:39
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converti... | 388 | [
[
-0.031646728515625,
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0.022003173828125,
0.006687164306640625,
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0.0225830078125,
0.06494140625,
-0.053802490234375,
-0.049591064453125,
-0.038543701171875,
-0... |
digiplay/OnlyReal-Black-Mix | 2023-08-16T21:23:32.000Z | [
"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/OnlyReal-Black-Mix | 1 | 1,706 | diffusers | 2023-07-27T09:40:00 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
https://civitai.com/models/115449/onlyreal-black-mix
Sample image generated by huggingface's API :
![74e8dc9b-880f-4a67-ae9e-ab02f0fee958.jpeg](https://cdn-uploads.huggingface.co/production/upload... | 697 | [
[
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0.04498291015625,
-0.037628173828125,
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0.0186004638671875,
-0.03948974609375,
0.07647705078125,
0.0345458984375,
-0.07940673828125,
-0.044891357421875,
-0.038726806640625,
-0.0083084... |
DucHaiten/DucHaitenAnime | 2023-02-06T02:34:46.000Z | [
"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/DucHaitenAnime | 19 | 1,705 | diffusers | 2023-01-30T13:06:25 | ---
license: creativeml-openrail-m
language:
- en
tags:
- stable-diffusion
- text-to-image
- image-to-image
- diffusers
inference: true
---
DucHaitenAnime_v4.0: In this version i added a little 3D, a little realistic, improved the hand but not much, improved the color because i don't like to use vae
All images above ... | 2,042 | [
[
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0.07318115234375,
-0.049560546875,
-0.038330078125,
-0.037322998046875,
0.01139831542968... |
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