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/vit_tiny_patch16_384.augreg_in21k_ft_in1k | 2023-05-06T00:30:08.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_tiny_patch16_384.augreg_in21k_ft_in1k | 0 | 1,624 | timm | 2022-12-22T07:56:14 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_tiny_patch16_384.augreg_in21k_ft_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additional augmentation... | 3,904 | [
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0.00... |
meta-math/MetaMath-7B-V1.0 | 2023-10-11T02:45:06.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:meta-math/MetaMathQA",
"arxiv:2309.12284",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | meta-math | null | null | meta-math/MetaMath-7B-V1.0 | 16 | 1,624 | transformers | 2023-09-21T08:33:54 | ---
license: llama2
datasets:
- meta-math/MetaMathQA
---
arxiv.org/abs/2309.12284
View the project page:
https://meta-math.github.io/
# Citation
```bibtex
@article{yu2023metamath,
title={MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models},
author={Yu, Longhui and Jiang, Weisen and Shi... | 512 | [
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bigscience/mt0-xl | 2023-07-25T11:14:55.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"haw",
... | text2text-generation | bigscience | null | null | bigscience/mt0-xl | 23 | 1,622 | transformers | 2022-10-27T20:55:06 | ---
datasets:
- bigscience/xP3
- mc4
license: apache-2.0
language:
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
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- es
- et
- eu
- fa
- fi
- fil
- fr
- fy
- ga
- gd
- gl
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- ha
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- hi
- hmn
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- hu
- hy
- ig
- is
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- iw
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la... | 23,774 | [
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huggingface/autoformer-tourism-monthly | 2023-05-24T15:30:55.000Z | [
"transformers",
"pytorch",
"autoformer",
"dataset:monash_tsf",
"arxiv:2106.13008",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | huggingface | null | null | huggingface/autoformer-tourism-monthly | 1 | 1,621 | transformers | 2023-05-08T19:21:08 | ---
license: apache-2.0
datasets:
- monash_tsf
---
# Autoformer
## Overview
The Autoformer model was proposed in [Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting](https://arxiv.org/abs/2106.13008) by Haixu Wu, Jiehui Xu, Jianmin Wang and Mingsheng Long.
The abstract fr... | 1,824 | [
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nerijs/dripped-out-xl | 2023-10-19T01:22:54.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:apache-2.0",
"region:us"
] | text-to-image | nerijs | null | null | nerijs/dripped-out-xl | 6 | 1,620 | diffusers | 2023-10-19T00:33:05 | ---
license: apache-2.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: dripped out
widget:
- text: dripped out shrek sitting on a lambo
---
# Dripped Out SDXL 💧
This is a LoRA to make 'HARD' AI Generated Images.
The weights w... | 628 | [
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TheBloke/Vigogne-2-13B-Instruct-GPTQ | 2023-09-27T12:45:10.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"LLM",
"llama-2",
"fr",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Vigogne-2-13B-Instruct-GPTQ | 3 | 1,619 | transformers | 2023-07-29T12:35:53 | ---
language:
- fr
license: llama2
library_name: transformers
tags:
- LLM
- llama
- llama-2
model_name: Vigogne 2 13B Instruct
base_model: bofenghuang/vigogne-2-13b-instruct
inference: false
model_creator: bofenghuang
model_type: llama
pipeline_tag: text-generation
prompt_template: 'Below is an instruction that describ... | 18,123 | [
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timm/ViT-B-16-SigLIP-i18n-256 | 2023-10-25T22:04:56.000Z | [
"open_clip",
"clip",
"siglip",
"zero-shot-image-classification",
"dataset:webli",
"arxiv:2303.15343",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | timm | null | null | timm/ViT-B-16-SigLIP-i18n-256 | 1 | 1,619 | open_clip | 2023-10-17T00:26:06 | ---
tags:
- clip
- siglip
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: apache-2.0
datasets:
- webli
---
# Model card for ViT-B-16-SigLIP-i18n-256
A SigLIP (Sigmoid loss for Language-Image Pre-training) model trained on WebLI.
This model has been converted to PyTorch from the original ... | 3,176 | [
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timm/efficientformerv2_s1.snap_dist_in1k | 2023-02-03T21:11:20.000Z | [
"timm",
"pytorch",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2212.08059",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientformerv2_s1.snap_dist_in1k | 0 | 1,617 | timm | 2023-02-03T21:11:15 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientformerv2_s1.snap_dist_in1k
A EfficientFormer-V2 image classification model. Pretrained with distillation on ImageNet-1k.
## Model Details
- **Model Type:** Image classification / feature... | 4,560 | [
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timm/maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k | 2023-05-11T00:49:45.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2204.01697",
"arxiv:2201.03545",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k | 2 | 1,616 | timm | 2023-01-20T21:38:05 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k
A timm specific MaxxViT-V2 (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classificatio... | 22,580 | [
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timm/convnext_base.clip_laion2b_augreg_ft_in12k_in1k | 2023-03-31T21:58:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:laion-2b",
"arxiv:2210.08402",
"arxiv:2201.03545",
"arxiv:2103.00020",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_base.clip_laion2b_augreg_ft_in12k_in1k | 0 | 1,613 | timm | 2023-03-31T21:57:06 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- laion-2b
---
# Model card for convnext_base.clip_laion2b_augreg_ft_in12k_in1k
A ConvNeXt image classification model. CLIP image tower weights pretrained in [OpenCLIP](https://github.com/mlfoundations/open_clip) on L... | 18,546 | [
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leo911kim/Exodia-7B | 2023-10-13T08:15:03.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | leo911kim | null | null | leo911kim/Exodia-7B | 0 | 1,612 | transformers | 2023-10-13T05:24:34 | ---
license: mit
---
Master of Merging
[](https://www.buymeacoffee.com/yeongwooki3)
The Large Language Model, or LLM, represents a groundbreaking advancement in the realm of artificial intelligence.
By fusing together insights ... | 928 | [
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circulus/sd-photoreal-real-v2 | 2023-02-20T15:59:35.000Z | [
"diffusers",
"generative ai",
"stable-diffusion",
"image-to-image",
"realism",
"art",
"text-to-image",
"en",
"license:gpl-3.0",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | circulus | null | null | circulus/sd-photoreal-real-v2 | 16 | 1,609 | diffusers | 2023-01-15T06:12:56 | ---
license: gpl-3.0
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- generative ai
- stable-diffusion
- image-to-image
- realism
- art
---
Photoreal Real v2
Finetuned Stable Diffusion 1.5 for generating images
You can test this model thought mobile!
https://eva.circul.us/index.html
![img](... | 347 | [
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ctrlbuzz/bert-addresses | 2023-10-17T18:09:47.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | ctrlbuzz | null | null | ctrlbuzz/bert-addresses | 2 | 1,609 | transformers | 2023-09-26T21:13:04 | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---
# Model Card for Model ID
This model is developed to tag Names, Organisations and addresses. I have used a data combined fr... | 1,230 | [
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sentence-transformers/msmarco-MiniLM-L12-cos-v5 | 2023-11-02T09:31:49.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"arxiv:1908.10084",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-MiniLM-L12-cos-v5 | 6 | 1,608 | sentence-transformers | 2022-03-02T23:29:05 | ---
language:
- en
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# msmarco-MiniLM-L12-cos-v5
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and was des... | 5,133 | [
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0.012... |
google/efficientnet-b0 | 2023-02-17T10:05:19.000Z | [
"transformers",
"pytorch",
"efficientnet",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | google | null | null | google/efficientnet-b0 | 3 | 1,607 | transformers | 2023-02-15T20:17:27 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... | 2,697 | [
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SudeepShetty/dogs | 2023-10-14T09:43:33.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | SudeepShetty | null | null | SudeepShetty/dogs | 0 | 1,605 | diffusers | 2023-10-14T09:38:35 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### DOGS Dreambooth model trained by SudeepShetty following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: VCETV107
Sample pictures of this concept:
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NbAiLab/nb-bert-base-mnli | 2023-03-24T11:32:00.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"text-classification",
"nb-bert",
"zero-shot-classification",
"tensorflow",
"norwegian",
"no",
"dataset:mnli",
"dataset:multi_nli",
"dataset:xnli",
"arxiv:1909.00161",
"license:cc-by-4.0",
"endpoints_compatible",
"has_space",... | zero-shot-classification | NbAiLab | null | null | NbAiLab/nb-bert-base-mnli | 5 | 1,604 | transformers | 2022-03-02T23:29:04 | ---
language: no
license: cc-by-4.0
thumbnail: https://raw.githubusercontent.com/NBAiLab/notram/master/images/nblogo_2.png
pipeline_tag: zero-shot-classification
tags:
- nb-bert
- zero-shot-classification
- pytorch
- tensorflow
- norwegian
- bert
datasets:
- mnli
- multi_nli
- xnli
widget:
- example_title: Nyhetsartikk... | 2,939 | [
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... |
izumi-lab/electra-small-japanese-fin-discriminator | 2022-12-09T00:42:10.000Z | [
"transformers",
"pytorch",
"electra",
"pretraining",
"finance",
"ja",
"arxiv:2003.10555",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | izumi-lab | null | null | izumi-lab/electra-small-japanese-fin-discriminator | 0 | 1,604 | transformers | 2022-03-02T23:29:05 | ---
language: ja
license: cc-by-sa-4.0
tags:
- finance
widget:
- text: 流動[MASK]は1億円となりました。
---
# ELECTRA small Japanese finance discriminator
This is a [ELECTRA](https://github.com/google-research/electra) model pretrained on texts in the Japanese language.
The codes for the pretraining are available at [reta... | 2,295 | [
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0.013679504394... |
microsoft/SportsBERT | 2022-12-10T18:18:40.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | microsoft | null | null | microsoft/SportsBERT | 13 | 1,604 | transformers | 2022-03-02T23:29:05 | Pretraining large natural language processing models such as BERT, RoBERTa, etc are now state of the art models in natural language understanding and processing tasks. However, these models are trained on a general corpus of articles from the web or from repositories like quora, wikipedia, etc which contain articles of... | 1,653 | [
[
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TheBloke/WizardCoder-15B-1.0-GPTQ | 2023-08-21T08:37:19.000Z | [
"transformers",
"safetensors",
"gpt_bigcode",
"text-generation",
"license:bigcode-openrail-m",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/WizardCoder-15B-1.0-GPTQ | 162 | 1,603 | transformers | 2023-06-14T15:37:39 | ---
inference: false
license: bigcode-openrail-m
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex;... | 17,959 | [
[
-0.04217529296875,
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-0.03814697265625,
-0.03643798828125... |
cross-encoder/nli-deberta-v3-xsmall | 2021-12-27T22:27:20.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"microsoft/deberta-v3-xsmall",
"zero-shot-classification",
"en",
"dataset:multi_nli",
"dataset:snli",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | cross-encoder | null | null | cross-encoder/nli-deberta-v3-xsmall | 5 | 1,602 | transformers | 2022-03-02T23:29:05 | ---
language: en
pipeline_tag: zero-shot-classification
tags:
- microsoft/deberta-v3-xsmall
datasets:
- multi_nli
- snli
metrics:
- accuracy
license: apache-2.0
---
# Cross-Encoder for Natural Language Inference
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.ne... | 2,791 | [
[
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0.03271484375,
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-0.0386962890625,
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... |
google/tapas-large | 2021-11-29T10:18:23.000Z | [
"transformers",
"pytorch",
"tf",
"tapas",
"feature-extraction",
"TapasModel",
"en",
"arxiv:2004.02349",
"arxiv:2010.00571",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | google | null | null | google/tapas-large | 1 | 1,602 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- tapas
- TapasModel
license: apache-2.0
---
# TAPAS large model
This model has 2 versions which can be used. The latest version, which is the default one, corresponds to the `tapas_inter_masklm_large_reset` checkpoint of the [original Github repository](https://github.com/google-research/tap... | 4,678 | [
[
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0.0080... |
timm/convnext_large.fb_in22k_ft_in1k | 2023-03-31T22:10:17.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_large.fb_in22k_ft_in1k | 0 | 1,602 | timm | 2022-12-13T07:10:20 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_large.fb_in22k_ft_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model Type:*... | 15,743 | [
[
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-... |
WisdomShell/CodeShell-7B-Chat | 2023-11-01T11:54:02.000Z | [
"transformers",
"pytorch",
"codeshell",
"text-generation",
"wisdomshell",
"pku-kcl",
"openbankai",
"custom_code",
"zh",
"en",
"region:us"
] | text-generation | WisdomShell | null | null | WisdomShell/CodeShell-7B-Chat | 18 | 1,602 | transformers | 2023-10-13T09:38:56 | ---
language:
- zh
- en
tags:
- codeshell
- wisdomshell
- pku-kcl
- openbankai
---
# CodeShell
CodeShell是[北京大学知识计算实验室](http://se.pku.edu.cn/kcl/)联合四川天府银行AI团队研发的多语言代码大模型基座。CodeShell具有70亿参数，在五千亿Tokens进行了训练，上下文窗口长度为8194。在权威的代码评估Benchmark（HumanEval与MBPP）上，CodeShell取得同等规模最好的性能。与此同时，我们提供了与CodeShell配套的部署方案与IDE插件，请参考代码库[Code... | 8,537 | [
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0... |
timm/convnextv2_femto.fcmae_ft_in1k | 2023-03-31T23:07:15.000Z | [
"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_femto.fcmae_ft_in1k | 0 | 1,601 | timm | 2023-01-05T01:39:46 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_femto.fcmae_ft_in1k
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-1k.
... | 15,788 | [
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-0.039154052734375,
-0.052459716796875,
-0.00350761413574... |
speechbrain/tts-tacotron2-ljspeech | 2022-06-26T23:19:09.000Z | [
"speechbrain",
"text-to-speech",
"TTS",
"speech-synthesis",
"Tacotron2",
"en",
"dataset:LJSpeech",
"arxiv:1712.05884",
"arxiv:2106.04624",
"license:apache-2.0",
"has_space",
"region:us"
] | text-to-speech | speechbrain | null | null | speechbrain/tts-tacotron2-ljspeech | 94 | 1,600 | speechbrain | 2022-05-28T21:09:37 | ---
language: "en"
tags:
- text-to-speech
- TTS
- speech-synthesis
- Tacotron2
- speechbrain
license: "apache-2.0"
datasets:
- LJSpeech
metrics:
- mos
---
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" hei... | 3,881 | [
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0.036041259765625,
0.0202789306640625,
-0.036285400390625,
-0.04351806640625,
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0... |
Habana/roberta-large | 2023-08-18T16:54:10.000Z | [
"optimum_habana",
"license:apache-2.0",
"region:us"
] | null | Habana | null | null | Habana/roberta-large | 0 | 1,598 | null | 2022-04-22T18:03:10 | ---
license: apache-2.0
---
[Optimum Habana](https://github.com/huggingface/optimum-habana) is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU).
It provides a set of tools enabling easy and fast model loading, training and inference on single- and multi-HPU... | 2,021 | [
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0.0229644775390625,
-0.04449462890625,
-0.00606536865234375,
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stabilityai/japanese-instructblip-alpha | 2023-09-04T04:41:56.000Z | [
"transformers",
"pytorch",
"instructblip",
"feature-extraction",
"vision",
"image-captioning",
"japanese-stablelm",
"image-to-text",
"custom_code",
"ja",
"arxiv:2305.06500",
"license:other",
"has_space",
"region:us"
] | image-to-text | stabilityai | null | null | stabilityai/japanese-instructblip-alpha | 44 | 1,598 | transformers | 2023-08-15T12:07:00 | ---
language:
- ja
tags:
- instructblip
- vision
- image-captioning
- japanese-stablelm
pipeline_tag: image-to-text
license:
- other
extra_gated_heading: Access Japanese StableLM Instruct Alpha
extra_gated_description: This repository is publicly accessible, but you have to accept the conditions to access its files and... | 15,680 | [
[
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0.0225982666015625,
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artificialguybr/StoryBookRedmond | 2023-10-07T19:18:12.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/StoryBookRedmond | 3 | 1,597 | diffusers | 2023-08-21T06:50:17 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: KidsRedmAF
widget:
- text: KidsRedmAF
---
# StoryBook.Redmond
StoryBook.Redmond is here!
DOWNLOAD V2 HERE: https://hugg... | 1,274 | [
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digiplay/AM-mix1 | 2023-11-02T20:18:50.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | digiplay | null | null | digiplay/AM-mix1 | 0 | 1,597 | diffusers | 2023-11-02T18:51:41 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
in test...
Sample image I made generated by huggingface's API :
 | 297 | [
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surdan/LaBSE_ner_nerel | 2022-04-12T13:17:34.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"ru",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | surdan | null | null | surdan/LaBSE_ner_nerel | 7 | 1,595 | transformers | 2022-04-11T14:45:16 | ---
language: ["ru", "en"]
tasks:
- token-classification
---
## About model
This model based on [cointegrated/LaBSE-en-ru](https://huggingface.co/cointegrated/LaBSE-en-ru).
And trained on [surdan/nerel_short](https://huggingface.co/datasets/surdan/nerel_short) dataset
You can find more info:
- How the model was tr... | 536 | [
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grammarly/coedit-xxl | 2023-10-11T00:30:05.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"en",
"dataset:asset",
"dataset:wi_locness",
"dataset:GEM/wiki_auto_asset_turk",
"dataset:discofuse",
"dataset:zaemyung/IteraTeR_plus",
"dataset:jfleg",
"dataset:grammarly/coedit",
"arxiv:2305.09857",
"license:cc-by-... | text2text-generation | grammarly | null | null | grammarly/coedit-xxl | 10 | 1,594 | transformers | 2023-05-11T23:59:06 | ---
license: cc-by-nc-4.0
datasets:
- asset
- wi_locness
- GEM/wiki_auto_asset_turk
- discofuse
- zaemyung/IteraTeR_plus
- jfleg
- grammarly/coedit
language:
- en
metrics:
- sari
- bleu
- accuracy
---
# Model Card for CoEdIT-xxl
This model was obtained by fine-tuning the corresponding google/flan-t5-xxl model on the C... | 2,319 | [
[
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0.01255035400390625,
-0.0638427734375,
-0.0345458984375,
-0.042877197265625... |
doc2query/all-with_prefix-t5-base-v1 | 2021-10-19T12:52:47.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:sentence-transformers/reddit-title-body",
"dataset:sentence-transformers/embedding-training-data",
"arxiv:1904.08375",
"arxiv:2104.08663",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space"... | text2text-generation | doc2query | null | null | doc2query/all-with_prefix-t5-base-v1 | 7 | 1,592 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- sentence-transformers/reddit-title-body
- sentence-transformers/embedding-training-data
widget:
- text: "text2reddit: Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significa... | 5,206 | [
[
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-0.064453125,
0.02587890625,
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-0.016998291015625,
-0.021331787109375,
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0.0225067138671875,
-0.03619384765625,
-0.04339599609375,
-0.052642822265625,
0.016... |
timm/coat_lite_medium.in1k | 2023-04-24T03:42:42.000Z | [
"timm",
"pytorch",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.06399",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coat_lite_medium.in1k | 0 | 1,592 | timm | 2023-04-24T03:39:58 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for coat_lite_medium.in1k
A CoaT (Co-Scale Conv-Attentional Transformer) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification ... | 2,825 | [
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... |
HumanF-MarkrAI/pub-llama-13b-v1 | 2023-10-19T18:44:01.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"dataset:HumanF-MarkrAI/pub_COT-2000",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | HumanF-MarkrAI | null | null | HumanF-MarkrAI/pub-llama-13b-v1 | 0 | 1,591 | transformers | 2023-10-19T08:30:48 | ---
language:
- ko
datasets: HumanF-MarkrAI/pub_COT-2000
license: cc-by-nc-sa-4.0
---
**(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다**
**The license is `cc-by-nc-sa`.**
## Model Details
**Model Developers** Kyujin Han (kyujinpy)
**Input** Models input text only.
**Output** Models generate text only.
**Model Arch... | 626 | [
[
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-0.0283355712890625,
0.003360748291015625,
-0.01108551025390625,
-0.0184478759765625,
0.01464080810546875,
0.047882080078125,
-0.043701171875,
-0.045135498046875,
-0.046905517578125... |
lllyasviel/sd-controlnet-hed | 2023-04-24T22:30:38.000Z | [
"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-hed | 22 | 1,589 | diffusers | 2023-02-24T07:02:21 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
- image-to-image
---
# Controlnet - *HED Boundary Version*
ControlNet is a neural network structure to control diffusion models by adding extra conditions.
This checkpoint corresponds to the ControlNet condit... | 11,448 | [
[
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0.0628662109375,
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-0.0421142578125,
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-0.05377197265625,
... |
GAI-LLM/ko-en-llama2-13b-mixed-v1 | 2023-10-27T00:41:10.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"license:cc-by-nc-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | GAI-LLM | null | null | GAI-LLM/ko-en-llama2-13b-mixed-v1 | 0 | 1,589 | transformers | 2023-10-18T08:45:35 | ---
license: cc-by-nc-2.0
language:
- ko
library_name: transformers
pipeline_tag: text-generation
---
**The license is `cc-by-nc-2.0`.**
# **GAI-LLM/ko-en-llama2-13b-mixed-v1**
## Model Details
**Model Developers** Donghoon Oh, Hanmin Myung, Eunyoung Kim (SK C&C G.AI Eng)
**Input** Models input text only.
*... | 1,372 | [
[
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0.025360107421875,
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-0.045166015625,
-0.045074462890625,
0.00211524963... |
Yntec/526Mix | 2023-11-03T14:32:17.000Z | [
"diffusers",
"General Purpose",
"Futuristic",
"Nature",
"526christian",
"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/526Mix | 0 | 1,589 | diffusers | 2023-11-03T13:04:50 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General Purpose
- Futuristic
- Nature
- 526christian
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# 526 Mix v15
Original page: https://civitai.com/models/15022?modelVersion... | 533 | [
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-0.047821044921875,
-0.0278778076171875,
-0.004234313... |
bioformers/bioformer-8L | 2023-08-02T07:45:33.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"bert",
"fill-mask",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | bioformers | null | null | bioformers/bioformer-8L | 4 | 1,587 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
license: apache-2.0
pipeline_tag: fill-mask
---
**_NOTE: `bioformer-cased-v1.0` has been renamed to `bioformer-8L`. All links to `bioformer-cased-v1.0` will automatically redirect to `bioformer-8L`, including git operations. However, to avoid confusion, we recommend updating any existing local clone... | 6,654 | [
[
-0.0028095245361328125,
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-0.01050567626953125,
-0.0269622802734375,
0.033447265625,
0.015777587890625,
-0.0189361572265625,
-0.05694580078125,
-0.060791015625,
... |
TheBloke/Speechless-Llama2-Hermes-Orca-Platypus-WizardLM-13B-GPTQ | 2023-09-27T12:47:07.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Speechless-Llama2-Hermes-Orca-Platypus-WizardLM-13B-GPTQ | 20 | 1,587 | transformers | 2023-09-02T09:17:16 | ---
language:
- en
license: llama2
library_name: transformers
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
datasets:
- garage-bAInd/Open-Platypus
model_name: Speechess Lllama2 Hermes Orca-Platypus WizardLM 13B
base_model: uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b
inference: false
model_creator:... | 24,845 | [
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0.0323486328125,
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-0.036376953125,
-0.029144287109375,
0.0051689147... |
Yntec/Hassanim | 2023-11-03T04:00:42.000Z | [
"diffusers",
"Anime",
"General",
"Photorealistic",
"Hassan",
"s6yx",
"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/Hassanim | 1 | 1,586 | diffusers | 2023-09-14T20:52:27 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- Anime
- General
- Photorealistic
- Hassan
- s6yx
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
---
# Hassanim
An attempt to improve over HassamBlend with th... | 2,612 | [
[
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0.0051269531... |
ZinengTang/tvlt-base | 2023-03-13T12:59:44.000Z | [
"transformers",
"pytorch",
"tvlt",
"pretraining",
"arxiv:2209.14156",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | ZinengTang | null | null | ZinengTang/tvlt-base | 1 | 1,582 | transformers | 2022-12-15T05:11:40 | ---
license: mit
---
# TVLT
Textless Vision-Language Transformer (TLVT) model, pre-trained-only. It was introduced in the paper [TVLT: Textless Vision-Language Transformer](https://arxiv.org/abs/2209.14156) by Tang et al. and first released in [this repository](https://github.com/zinengtang/TVLT).
Disclaimer: The t... | 1,501 | [
[
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0.040679931640625,
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-0.03436279296875,
-0.059326171875,
... |
timm/swinv2_large_window12to16_192to256.ms_in22k_ft_in1k | 2023-03-18T03:35:15.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2111.09883",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swinv2_large_window12to16_192to256.ms_in22k_ft_in1k | 0 | 1,582 | timm | 2023-03-18T03:33:56 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for swinv2_large_window12to16_192to256.ms_in22k_ft_in1k
A Swin Transformer V2 image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model ... | 4,566 | [
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0.0285491943359375,
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-0.0406494140625,
-0.045928955078125,
-0.020... |
akhooli/gpt2-small-arabic | 2023-03-20T08:04:17.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"gpt2",
"text-generation",
"ar",
"dataset:Arabic Wikipedia",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | akhooli | null | null | akhooli/gpt2-small-arabic | 9 | 1,580 | transformers | 2022-03-02T23:29:05 | ---
language: "ar"
datasets:
- Arabic Wikipedia
metrics:
- none
---
# GPT2-Small-Arabic
## Model description
GPT2 model from Arabic Wikipedia dataset based on gpt2-small (using Fastai2).
## Intended uses & limitations
#### How to use
An example is provided in this [colab notebook](https://colab.research.google.co... | 1,100 | [
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0.01061248779296875,
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momo/polyglot-ko-12.8b-Chat-QLoRA-Merge | 2023-10-03T09:26:08.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"ko",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | momo | null | null | momo/polyglot-ko-12.8b-Chat-QLoRA-Merge | 2 | 1,578 | transformers | 2023-10-02T08:22:58 | ---
license: apache-2.0
language:
- ko
---
## Model Details
**Model Developers** Yunho Mo (momo)
**Input** Models input text only.
**Output** Models generate text only.
**Model Architecture**
polyglot-ko-12.8b-Chat-QLoRA-Merge is an auto-regressive language model based on the polyglot-ko-12.8b transformer archite... | 676 | [
[
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0.0175018310546875,
0.04217529296875,
-0.0430908203125,
-0.035125732421875,
-0.0517578125,
-0.010864... |
snunlp/KR-SBERT-V40K-klueNLI-augSTS | 2022-08-23T07:12:47.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"ko",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | snunlp | null | null | snunlp/KR-SBERT-V40K-klueNLI-augSTS | 21 | 1,577 | sentence-transformers | 2022-05-03T03:34:16 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
language:
- ko
widget:
- source_sentence: "그 식당은 파리를 날린다"
sentences:
- "그 식당에는 손님이 없다"
- "그 식당에서는 드론을 날린다"
- "파리가 식당에 날아다닌다"
example_title: "Restaurant"
- source_sentence: "잠이 옵니... | 3,885 | [
[
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0.01282501220703125,
0.0241851806640625,
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-0.040771484375,
-0.055023193359375,... |
SRDdev/QABERT-small | 2023-06-21T15:00:00.000Z | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"question-answering",
"en",
"dataset:squad_v2",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | SRDdev | null | null | SRDdev/QABERT-small | 0 | 1,577 | transformers | 2023-02-08T12:40:31 | ---
datasets:
- squad_v2
language:
- en
metrics:
- accuracy
library_name: transformers
pipeline_tag: question-answering
tags:
- question-answering
---
# QA-BERT
QA-BERT is a Question Answering Model. This model is a lighter version of any of the question-answering models out there.
## Dataset
The Stanford Question Ans... | 4,065 | [
[
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0.02191162109375,
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0.0205078125,
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-0.016845703125,
-0.0161590576171875,
0.... |
benjamin/wtp-canine-s-12l | 2023-05-31T09:12:27.000Z | [
"transformers",
"pytorch",
"la-canine",
"token-classification",
"multilingual",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"... | token-classification | benjamin | null | null | benjamin/wtp-canine-s-12l | 2 | 1,575 | transformers | 2023-05-10T20:50:38 | ---
license: mit
language:
- multilingual
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hu
- hy
- id
- ig
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lt
- lv
- mg
- mk
- ml
- mn
- mr
- ms
- mt
- my
- ... | 552 | [
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0.0283355712890625,
0.022735595703125,
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0.001... |
timm/lcnet_100.ra2_in1k | 2023-04-27T22:49:02.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2109.15099",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/lcnet_100.ra2_in1k | 0 | 1,574 | timm | 2022-12-16T05:37:41 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for lcnet_100.ra2_in1k
A LCNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA2` recipe. Inspired by and evolve... | 4,707 | [
[
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0.0129241943359375,
0.040435791015625,
-0.03411865234375,
-0.045196533203125,
-0.049713134765625,
... |
Muennighoff/SGPT-5.8B-weightedmean-nli-bitfit | 2022-10-03T12:16:09.000Z | [
"sentence-transformers",
"pytorch",
"gptj",
"feature-extraction",
"sentence-similarity",
"mteb",
"arxiv:2202.08904",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | Muennighoff | null | null | Muennighoff/SGPT-5.8B-weightedmean-nli-bitfit | 6 | 1,573 | sentence-transformers | 2022-03-02T23:29:04 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
model-index:
- name: SGPT-5.8B-weightedmean-nli-bitfit
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassifica... | 65,889 | [
[
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-0.0389404296875,
0.0302276611328125,
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-0.023529052734375,
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0.0164794921875,
-0.050567626953125,
-0.026763916015625,
-0.060089111328125,
... |
AkshatSurolia/ICD-10-Code-Prediction | 2023-05-05T15:24:14.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | AkshatSurolia | null | null | AkshatSurolia/ICD-10-Code-Prediction | 21 | 1,572 | transformers | 2022-03-02T23:29:04 | ---
license: apache-2.0
tags:
- text-classification
---
# Clinical BERT for ICD-10 Prediction
The Publicly Available Clinical BERT Embeddings paper contains four unique clinicalBERT models: initialized with BERT-Base (cased_L-12_H-768_A-12) or BioBERT (BioBERT-Base v1.0 + PubMed 200K + PMC 270K) & trained on either a... | 1,136 | [
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0.01091766357421875,
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0.028167724609375,
0.033477783203125,
-0.031829833984375,
-0.06341552734375,
-0.05108642578125,
0... |
TencentGameMate/chinese-hubert-base | 2022-06-24T01:52:57.000Z | [
"transformers",
"pytorch",
"hubert",
"feature-extraction",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | TencentGameMate | null | null | TencentGameMate/chinese-hubert-base | 12 | 1,572 | transformers | 2022-06-02T06:21:23 | ---
license: mit
---
Pretrained on 10k hours WenetSpeech L subset. More details in [TencentGameMate/chinese_speech_pretrain](https://github.com/TencentGameMate/chinese_speech_pretrain)
This model does not have a tokenizer as it was pretrained on audio alone.
In order to use this model speech recognition, a tokenizer... | 1,190 | [
[
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-0.058135986328125,
-0.0335693359375,
-0.03448486328... |
mirav/newmoon | 2023-08-24T16:03:08.000Z | [
"diffusers",
"text-to-image",
"en",
"license:cc",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | mirav | null | null | mirav/newmoon | 10 | 1,572 | diffusers | 2023-06-21T02:36:31 | ---
license: cc
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
thumbnail: https://huggingface.co/mirav/newmoon/resolve/main/examples/thumbnail.png
---
If you like my work, consider [supporting me](https://ko-fi.com/mira6).<br>
NewMoon: Soft, bright colors. <br>
ChamomileTea: Darker, moodier colors. ... | 1,008 | [
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kmariunas/uncased-bert-triplet-40 | 2023-07-11T13:02:44.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | kmariunas | null | null | kmariunas/uncased-bert-triplet-40 | 0 | 1,572 | sentence-transformers | 2023-07-11T13:01:06 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | 3,714 | [
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... |
bhadresh-savani/bert-base-go-emotion | 2021-11-29T10:43:10.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"go-emotion",
"en",
"dataset:go_emotions",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | bhadresh-savani | null | null | bhadresh-savani/bert-base-go-emotion | 27 | 1,571 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
tags:
- text-classification
- go-emotion
- pytorch
license: apache-2.0
datasets:
- go_emotions
metrics:
- Accuracy
---
# Bert-Base-Uncased-Go-Emotion
## Model description:
## Training ... | 884 | [
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-0.052642822265625... |
yahyasmt/brain-tumor-3 | 2023-10-08T16:30:23.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | yahyasmt | null | null | yahyasmt/brain-tumor-3 | 0 | 1,571 | diffusers | 2023-10-08T16:17:36 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### brain_tumor_3 Dreambooth model trained by yahyasmt 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 Cola... | 503 | [
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0.025665283203125,
-0.025604248046875,
-0.0386962890625,
-0.0443115234375,
-0.026... |
jonatasgrosman/wav2vec2-large-xlsr-53-german | 2022-12-14T01:59:09.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"de",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"lice... | automatic-speech-recognition | jonatasgrosman | null | null | jonatasgrosman/wav2vec2-large-xlsr-53-german | 7 | 1,570 | transformers | 2022-03-02T23:29:05 | ---
language: de
license: apache-2.0
datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- de
- hf-asr-leaderboard
- mozilla-foundation/common_voice_6_0
- robust-speech-event
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 ... | 5,708 | [
[
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-0.043060302734375,
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0.00968170166015625,
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0.022430419921875,
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wavymulder/lomo-diffusion | 2023-02-17T01:21:58.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"safetensors",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | wavymulder | null | null | wavymulder/lomo-diffusion | 22 | 1,570 | diffusers | 2023-02-04T19:41:30 | ---
language:
- en
thumbnail: "https://huggingface.co/wavymulder/lomo-diffusion/resolve/main/images/page1.jpg"
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- safetensors
- diffusers
inference: true
---
**Lomo Diffusion**
![Header](https://huggingface.co/wavymul... | 1,696 | [
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-0.01... |
h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v2 | 2023-07-13T03:12:11.000Z | [
"transformers",
"pytorch",
"RefinedWeb",
"text-generation",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"custom_code",
"en",
"dataset:OpenAssistant/oasst1",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | h2oai | null | null | h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v2 | 17 | 1,569 | transformers | 2023-06-23T07:35:02 | ---
language:
- en
library_name: transformers
tags:
- gpt
- llm
- large language model
- h2o-llmstudio
inference: false
thumbnail: >-
https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
license: apache-2.0
datasets:
- OpenAssistant/oasst1
---
# Model Card
## Summary
This model wa... | 8,574 | [
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luodian/OTTER-MPT1B-RPJama-Init | 2023-07-19T02:19:09.000Z | [
"transformers",
"pytorch",
"otter",
"text2text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | luodian | null | null | luodian/OTTER-MPT1B-RPJama-Init | 1 | 1,569 | transformers | 2023-07-18T14:14:50 | ---
license: mit
---
<p align="center" width="100%">
<img src="https://i.postimg.cc/MKmyP9wH/new-banner.png" width="80%" height="80%">
</p>
<div>
<div align="center">
<a href='https://brianboli.com/' target='_blank'>Bo Li*<sup>1</sup></a> 
<a href='https://zhangyuanhan-ai.github.io/' target='_blank'>Yu... | 2,596 | [
[
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-0.0223846435546875,
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... |
facebook/dino-vitb8 | 2023-05-22T07:04:47.000Z | [
"transformers",
"pytorch",
"vit",
"feature-extraction",
"dino",
"vision",
"dataset:imagenet-1k",
"arxiv:2104.14294",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | facebook | null | null | facebook/dino-vitb8 | 8 | 1,567 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- dino
- vision
datasets:
- imagenet-1k
---
# Vision Transformer (base-sized model, patch size 8) trained using DINO
Vision Transformer (ViT) model trained using the DINO method. It was introduced in the paper [Emerging Properties in Self-Supervised Vision Transformers](https://arxiv.or... | 3,254 | [
[
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0.036895751953125,
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-... |
eenzeenee/t5-base-korean-summarization | 2023-05-21T03:49:27.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"T5",
"summarization",
"ko",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | summarization | eenzeenee | null | null | eenzeenee/t5-base-korean-summarization | 8 | 1,567 | transformers | 2023-01-14T13:28:32 | ---
pipeline_tag: summarization
language:
- ko
tags:
- T5
---
# t5-base-korean-summarization
This is [T5](https://huggingface.co/docs/transformers/model_doc/t5) model for korean text summarization.
- Finetuned based on ['paust/pko-t5-base'](https://huggingface.co/paust/pko-t5-base) model.
- Finetuned with 3 datas... | 11,221 | [
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... |
google/umt5-base | 2023-07-03T05:37:52.000Z | [
"transformers",
"pytorch",
"text2text-generation",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
... | text2text-generation | google | null | null | google/umt5-base | 9 | 1,567 | transformers | 2023-07-02T01:49:59 | ---
language:
- multilingual
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fil
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- hi
- hmn
- ht
- hu
- hy
- ig
- is
- it
- iw
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lb
- lo
- lt
- lv
- mg
- mi
- mk
-... | 3,348 | [
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... |
speechbrain/sepformer-dns4-16k-enhancement | 2023-08-06T10:01:17.000Z | [
"speechbrain",
"audio-to-audio",
"Speech Enhancement",
"DNS-4",
"SepFormer",
"Transformer",
"pytorch",
"Microsoft DNS Challenge",
"Deep Noise Suppression Challenge – ICASSP 2022",
"en",
"de",
"ru",
"fr",
"it",
"es",
"dataset:DNS-4",
"arxiv:2010.13154",
"arxiv:2106.04624",
"licens... | audio-to-audio | speechbrain | null | null | speechbrain/sepformer-dns4-16k-enhancement | 10 | 1,565 | speechbrain | 2023-08-06T07:52:45 | ---
language:
- "en"
- "de"
- "ru"
- "fr"
- "it"
- "es"
thumbnail:
tags:
- audio-to-audio
- Speech Enhancement
- DNS-4
- SepFormer
- Transformer
- pytorch
- speechbrain
- Microsoft DNS Challenge
- Deep Noise Suppression Challenge – ICASSP 2022
license: "apache-2.0"
datasets:
- DNS-4
metrics:
- SI-SNR
- PE... | 4,779 | [
[
-0.0526123046875,
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0.0009899139404296875,
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-0... |
Yntec/Chik2 | 2023-07-28T06:48:11.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"xxxholic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Chik2 | 0 | 1,564 | diffusers | 2023-07-28T06:04:50 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- xxxholic
---
Why? This time I'm not going to explain you, I'm going to show you:
![image.png](https://cdn-uploads.huggingface.co/production/upload... | 464 | [
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0.02886962890625,
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-0.02410888671875,
-0.04327392578125,
0.0081... |
AIARTCHAN/AbyssHellVer3 | 2023-03-14T02:04:11.000Z | [
"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/AbyssHellVer3 | 20 | 1,562 | diffusers | 2023-02-24T06:52:07 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- aiartchan
---
# AbyssHellVer3 (어비스 헬 히어로 바리에이션)
[원본글](https://arca.live/b/aiart/70498939)
[huggingface](https://huggingface.co/KMAZ/AbyssHell-AbyssMaple)
# Download
- [original 5.98GB](https://huggingf... | 1,046 | [
[
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0.032257... |
TheBloke/Xwin-MLewd-13B-v0.2-GPTQ | 2023-10-15T10:14:09.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Xwin-MLewd-13B-v0.2-GPTQ | 20 | 1,562 | transformers | 2023-10-15T09:07:12 | ---
base_model: Undi95/Xwin-MLewd-13B-V0.2
inference: false
license: cc-by-nc-4.0
model_creator: Undi
model_name: Xwin MLewd 13B v0.2
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
### Instruction:
{prompt}
### R... | 21,682 | [
[
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-0.038238525390625,
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facebook/regnet-y-040 | 2023-03-26T11:21:20.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"regnet",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2003.13678",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | facebook | null | null | facebook/regnet-y-040 | 1 | 1,561 | transformers | 2022-03-18T15:36:08 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: htt... | 2,318 | [
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0.0236358642578125,
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-0.02996826171875,
-0.033111572265625,
0.000... |
uw-madison/nystromformer-512 | 2022-01-11T14:13:39.000Z | [
"transformers",
"pytorch",
"nystromformer",
"fill-mask",
"arxiv:2102.03902",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | uw-madison | null | null | uw-madison/nystromformer-512 | 1 | 1,558 | transformers | 2022-03-02T23:29:05 | # Nyströmformer
Nyströmformer model for masked language modeling (MLM) pretrained on BookCorpus and English Wikipedia for sequence length 512.
## About Nyströmformer
The Nyströmformer model was proposed in [Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention](https://arxiv.org/abs/2102.03902) b... | 2,531 | [
[
-0.030426025390625,
-0.032501220703125,
0.0298004150390625,
0.0296478271484375,
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0.01025390625,
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0.033050537109375,
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-0.05517578125,
-0.0262298583984375,
-0.057037353515625,
... |
teomotun/finetuning-sentiment-model-for-c2er | 2022-10-21T05:15:30.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | teomotun | null | null | teomotun/finetuning-sentiment-model-for-c2er | 0 | 1,558 | transformers | 2022-10-20T04:31:13 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-for-c2er
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... | 1,200 | [
[
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-0.05657958984375,
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cyberagent/open-calm-medium | 2023-05-18T01:10:54.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"japanese",
"causal-lm",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:mc4",
"license:cc-by-sa-4.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | cyberagent | null | null | cyberagent/open-calm-medium | 4 | 1,558 | transformers | 2023-05-15T06:44:47 | ---
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
- mc4
language:
- ja
tags:
- japanese
- causal-lm
inference: false
---
# OpenCALM-Medium
## Model Description
OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by CyberAgent, Inc.
## Usage
```python
import torch
fr... | 3,378 | [
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Minej/bert-base-personality | 2023-07-13T13:11:50.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"en",
"arxiv:1810.04805",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Minej | null | null | Minej/bert-base-personality | 3 | 1,558 | transformers | 2023-06-06T19:17:08 | ---
license: mit
language:
- en
library_name: transformers
pipeline_tag: text-classification
---
## How to Get Started with the Model
To use the model through Hosted inference API, follow the code snippet provided below:
```python
from transformers import BertTokenizer, BertForSequenceClassification
def personality... | 11,242 | [
[
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0.041778564453125,
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-0.05743408203125,
-0.00264... |
MarkrAI/kyujin-CoTy-platypus-ko-12.8b | 2023-10-19T13:31:19.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"ko",
"dataset:kyujinpy/KoCoT_2000",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | MarkrAI | null | null | MarkrAI/kyujin-CoTy-platypus-ko-12.8b | 2 | 1,558 | transformers | 2023-10-03T17:56:43 | ---
language:
- ko
datasets:
- kyujinpy/KoCoT_2000
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-sa-4.0
---
**(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다**
**The license is `cc-by-nc-sa-4.0`.**
# **CoTy-platypus-ko**
**Poly-platypus-ko + CoT = CoTy-pla... | 2,617 | [
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-0.051666259765625,
0.00245094... |
ktrapeznikov/albert-xlarge-v2-squad-v2 | 2020-12-11T21:48:41.000Z | [
"transformers",
"pytorch",
"albert",
"question-answering",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | ktrapeznikov | null | null | ktrapeznikov/albert-xlarge-v2-squad-v2 | 2 | 1,557 | transformers | 2022-03-02T23:29:05 | ### Model
**[`albert-xlarge-v2`](https://huggingface.co/albert-xlarge-v2)** fine-tuned on **[`SQuAD V2`](https://rajpurkar.github.io/SQuAD-explorer/)** using **[`run_squad.py`](https://github.com/huggingface/transformers/blob/master/examples/question-answering/run_squad.py)**
### Training Parameters
Trained on 4 NVIDI... | 2,087 | [
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... |
shiowo/shiowo-flora-mix | 2023-03-06T10:20:10.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"stable-diffusion-diffusers",
"en",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | shiowo | null | null | shiowo/shiowo-flora-mix | 0 | 1,556 | diffusers | 2023-03-05T12:47:45 | ---
license: creativeml-openrail-m
language: en
tags :
- stable-diffusion
- text-to-image
- stable-diffusion-diffusers
- diffusers
---
# Wellcome To shiowo-flora-mix
This is my first ever model released publicly
# Image and model comming soon (+- 3 days)
---
---
# safetensors comming soon (1 week +-)
### Recepie:... | 1,123 | [
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0.003593... |
TheLastBen/William_Eggleston_Style_SDXL | 2023-08-08T15:02:40.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"region:us",
"has_space"
] | text-to-image | TheLastBen | null | null | TheLastBen/William_Eggleston_Style_SDXL | 8 | 1,556 | diffusers | 2023-07-30T19:13:11 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: william eggleston
widget:
- text: by william eggleston
---
### William Eggleston Photography Style
#### SDXL LoRA by TheLastBen
#### Prompts to... | 3,080 | [
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0.018890380859375,
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-0.0328369140625,
-0.04443359375,
0.016784... |
ptx0/pseudo-journey-v2 | 2023-06-26T03:03:57.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ptx0 | null | null | ptx0/pseudo-journey-v2 | 9 | 1,552 | diffusers | 2023-05-22T01:32:36 | ---
license: creativeml-openrail-m
library_name: diffusers
tags:
- stable-diffusion
- text-to-image
---
# Capabilities
This model is "adventure" and "fantasy" focused.
With certain inference configurations, it is capable of producing very high quality results.
This model functions better without negative prompts th... | 1,838 | [
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0... |
IlyaGusev/rubert_ext_sum_gazeta | 2022-07-13T15:35:22.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"summarization",
"t5",
"ru",
"dataset:IlyaGusev/gazeta",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | token-classification | IlyaGusev | null | null | IlyaGusev/rubert_ext_sum_gazeta | 1 | 1,551 | transformers | 2022-03-02T23:29:04 | ---
language:
- ru
tags:
- summarization
- token-classification
- t5
datasets:
- IlyaGusev/gazeta
license: apache-2.0
inference: false
widget:
- text: "С 1 сентября в России вступают в силу поправки в закон «О банкротстве» — теперь должники смогут освобождаться от непосильных обязательств во внесудебном порядке, если с... | 4,625 | [
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0.012786865234375,
0.023468017578125,
-0.02801513671875,
-0.039703369140625,
-0.056884765625,
... |
dreamlike-art/dreamlike-photoreal-1.0 | 2023-03-13T01:04:59.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"photorealistic",
"photoreal",
"en",
"license:other",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | dreamlike-art | null | null | dreamlike-art/dreamlike-photoreal-1.0 | 99 | 1,551 | diffusers | 2022-11-27T03:37:42 | ---
language:
- en
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- photorealistic
- photoreal
- diffusers
inference: false
---
# This 1.0 model is OBSOLETE. We've released a new much better 2.0 version!
**Check it out here: [https://huggingface.co/dreamlike-art/dreamlike-photore... | 3,916 | [
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0.04461669921875,
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-0.01123... |
Yntec/LunarLuma | 2023-07-29T13:38:01.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"sadxzero",
"mooncryptowow",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/LunarLuma | 0 | 1,551 | diffusers | 2023-07-29T13:04:04 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- sadxzero
- mooncryptowow
---
# Lunar Luma
A mix of the Luma and Lunar Diffusion models, only because I think this name is hilarious! XD
Original ... | 435 | [
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-0.03442... |
artificialguybr/ToyRedmond-ToyLoraForSDXL10 | 2023-08-08T23:09:59.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/ToyRedmond-ToyLoraForSDXL10 | 3 | 1,551 | diffusers | 2023-08-08T23:04:08 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: FnkRedmAF
widget:
- text: FnkRedmAF
---
# Toy.Redmond
Toy.Redmond is here!
I'm grateful for the GPU time from Redmond.A... | 832 | [
[
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... |
dbmdz/convbert-base-turkish-mc4-uncased | 2023-09-10T18:39:57.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"convbert",
"fill-mask",
"tr",
"dataset:allenai/c4",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | dbmdz | null | null | dbmdz/convbert-base-turkish-mc4-uncased | 2 | 1,550 | transformers | 2022-03-02T23:29:05 | ---
language: tr
license: mit
datasets:
- allenai/c4
---
# 🇹🇷 Turkish ConvBERT model
<p align="center">
<img alt="Logo provided by Merve Noyan" title="Awesome logo from Merve Noyan" src="https://raw.githubusercontent.com/stefan-it/turkish-bert/master/merve_logo.png">
</p>
[![DOI](https://zenodo.org/badge/2378174... | 2,575 | [
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0.017288... |
gijs/aces-roberta-10 | 2023-03-09T15:47:40.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | gijs | null | null | gijs/aces-roberta-10 | 0 | 1,550 | transformers | 2023-03-09T15:43:48 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: aces-roberta-10
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove t... | 5,722 | [
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-0.041259765625,
-0.042694091796875,
-0.0098... |
digiplay/ya3p_VAE | 2023-11-02T07:41:37.000Z | [
"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/ya3p_VAE | 4 | 1,549 | diffusers | 2023-07-03T15:46:22 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
in test ...
![401566c4-f613-49a1-ac1b-81a187d... | 1,716 | [
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0.015289306... |
FlagAlpha/Llama2-Chinese-13b-Chat-4bit | 2023-09-11T13:24:58.000Z | [
"transformers",
"llama",
"text-generation",
"question-answering",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | question-answering | FlagAlpha | null | null | FlagAlpha/Llama2-Chinese-13b-Chat-4bit | 57 | 1,549 | transformers | 2023-07-26T09:44:35 | ---
developers: [https://huggingface.co/FlagAlphaAI]
license: apache-2.0
language:
- zh
- en
pipeline_tag: question-answering
library_name: transformers
---
# Llama2中文社区
---
## Llama2中文微调参数
由于Llama2本身的中文对齐较弱，我们采用中文指令集，对meta-llama/Llama-2-13b-chat-hf进行LoRA微调，使其具备较强的中文对话能力。
🎯 **该版本为中文微调参数FlagAlpha/Llama2-Chinese-13b-C... | 965 | [
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0.00472259... |
THABASSUM/my-pet-dog | 2023-10-18T10:41:27.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | THABASSUM | null | null | THABASSUM/my-pet-dog | 0 | 1,547 | diffusers | 2023-10-18T10:36:02 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by THABASSUM following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](https://huggingface... | 392 | [
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vertxlabs/controlnet_qrcode-control_v11p_v1 | 2023-07-13T05:04:14.000Z | [
"diffusers",
"stable-diffusion",
"controlnet",
"image-to-image",
"en",
"license:openrail++",
"endpoints_compatible",
"diffusers:ControlNetModel",
"region:us"
] | image-to-image | vertxlabs | null | null | vertxlabs/controlnet_qrcode-control_v11p_v1 | 0 | 1,546 | diffusers | 2023-07-13T03:45:24 | ---
tags:
- stable-diffusion
- controlnet
- image-to-image
license: openrail++
language:
- en
pipeline_tag: image-to-image
---
# QR Code Conditioned ControlNet Models for Stable Diffusion 2.1
## Model Description
This repo holds the safetensors & diffusers ... | 4,801 | [
[
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0.039459228515625,
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0.00... |
livingbox/model-test-10-oct | 2023-10-10T06:15:48.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | livingbox | null | null | livingbox/model-test-10-oct | 1 | 1,546 | diffusers | 2023-10-10T06:03:03 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Model-test-10-oct 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 A1111... | 508 | [
[
-0.0347900390625,
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0.00968170166015625,
-0.02471923828125,
-0.01861572265625,
-0.024017333984375,
0.000245332717895... |
vinesmsuic/magicbrush-jul7 | 2023-07-09T22:04:54.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | vinesmsuic | null | null | vinesmsuic/magicbrush-jul7 | 1 | 1,545 | diffusers | 2023-07-08T02:50:03 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
diffuser port of https://huggingface.co/osunlp/InstructPix2Pix-MagicBrush.
diffuser version of `MagicBrush-epoch-52-step-4999.ckpt`
```python
from PIL import Image, ImageOps
import r... | 2,468 | [
[
-0.02593994140625,
-0.0302581787109375,
0.013641357421875,
0.031951904296875,
-0.018096923828125,
-0.03436279296875,
0.005176544189453125,
-0.0155029296875,
-0.01264190673828125,
0.037109375,
-0.054718017578125,
-0.01209259033203125,
-0.044281005859375,
-0.0... |
anakin87/zephyr-7b-alpha-sharded | 2023-10-18T10:58:04.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"arxiv:2305.18290",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | anakin87 | null | null | anakin87/zephyr-7b-alpha-sharded | 11 | 1,545 | transformers | 2023-10-14T12:48:51 | ---
license: mit
language:
- en
---
<img src="https://huggingface.co/anakin87/zephyr-7b-alpha-sharded/resolve/main/zephyr_sharded.png" alt="Zephyr Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Zephyr 7B Alpha - Sharded
**UPDATE**
The original model ([Zephyr 7B Alpha](https://... | 3,384 | [
[
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-0.0017452239990234375,
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0.0311737060546875,
0.0227508544921875,
-0.0293426513671875,
-0.01031494140625,
-0.0471191... |
mwiki/sd-xl-colab | 2023-10-01T04:22:40.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"license:openrail++",
"has_space",
"region:us"
] | text-to-image | mwiki | null | null | mwiki/sd-xl-colab | 1 | 1,544 | diffusers | 2023-10-01T03:44:18 |
---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a photo of sks dog
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA DreamBooth - mwiki/sd-xl-colab
These are LoRA adaption weights for stabilityai... | 613 | [
[
-0.0179290771484375,
-0.01641845703125,
0.021209716796875,
0.0191497802734375,
-0.04339599609375,
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0.02392578125,
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0.06829833984375,
0.029541015625,
-0.0369873046875,
-0.024383544921875,
-0.040130615234375,
-0.01028442... |
superb/hubert-base-superb-sid | 2021-11-04T16:03:27.000Z | [
"transformers",
"pytorch",
"hubert",
"audio-classification",
"speech",
"audio",
"en",
"dataset:superb",
"arxiv:2105.01051",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | superb | null | null | superb/hubert-base-superb-sid | 0 | 1,542 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- superb
tags:
- speech
- audio
- hubert
- audio-classification
widget:
- example_title: VoxCeleb Speaker id10003
src: https://cdn-media.huggingface.co/speech_samples/VoxCeleb1_00003.wav
- example_title: VoxCeleb Speaker id10004
src: https://cdn-media.huggingface.co/speech_samples/VoxCele... | 3,394 | [
[
-0.032867431640625,
-0.036346435546875,
0.0129547119140625,
0.0138092041015625,
-0.005603790283203125,
-0.00319671630859375,
-0.019805908203125,
-0.0280303955078125,
-0.00377655029296875,
0.0259552001953125,
-0.044219970703125,
-0.036468505859375,
-0.04061889648... |
SweetLuna/Kenshi | 2023-04-20T06:19:23.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"en",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | SweetLuna | null | null | SweetLuna/Kenshi | 140 | 1,542 | diffusers | 2023-01-04T13:12:33 | ---
language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
inference: true
thumbnail: "https://i2.lensdump.com/i/TAxjOD.png"
license: creativeml-openrail-m
---
<center><h1><b><a href="https://huggingface.co/SweetLuna/Aurora"> Be sure to Check out Aurora 💛 - ... | 13,895 | [
[
-0.058319091796875,
-0.049224853515625,
0.0217742919921875,
-0.0029754638671875,
-0.0223388671875,
0.01171875,
0.0003266334533691406,
-0.05950927734375,
0.07537841796875,
0.028289794921875,
-0.06353759765625,
-0.039215087890625,
-0.03204345703125,
0.00869750... |
radames/stable-diffusion-2-depth-img2img | 2023-05-16T20:29:18.000Z | [
"diffusers",
"stable-diffusion",
"image-to-image",
"arxiv:2112.10752",
"arxiv:2202.00512",
"arxiv:1910.09700",
"license:openrail++",
"has_space",
"diffusers:StableDiffusionDepth2ImgPipeline",
"region:us"
] | image-to-image | radames | null | null | radames/stable-diffusion-2-depth-img2img | 6 | 1,542 | diffusers | 2023-05-16T20:19:33 | ---
license: openrail++
tags:
- stable-diffusion
- image-to-image
duplicated_from: stabilityai/stable-diffusion-2-depth
pipeline_tag: image-to-image
---
# Stable Diffusion v2 Model Card
This model card focuses on the model associated with the Stable Diffusion v2 model, available [here](https://github.com/Stability-AI/... | 12,494 | [
[
-0.032989501953125,
-0.06524658203125,
0.0247650146484375,
0.01554107666015625,
-0.0166015625,
-0.025115966796875,
0.00662994384765625,
-0.034088134765625,
-0.00405120849609375,
0.0292510986328125,
-0.0284881591796875,
-0.02935791015625,
-0.054229736328125,
... |
WarriorMama777/AbyssOrangeMix2 | 2023-01-30T08:59:01.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | WarriorMama777 | null | null | WarriorMama777/AbyssOrangeMix2 | 32 | 1,541 | diffusers | 2023-01-30T08:35:39 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
---
## AbyssOrangeMix2
See https://huggingface.co/WarriorMama777/OrangeMixs for more information
| 178 | [
[
-0.052581787109375,
-0.0051727294921875,
0.0185089111328125,
0.05047607421875,
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-0.0009512901306152344,
0.04962158203125,
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0.05120849609375,
0.0472412109375,
-0.035552978515625,
-0.0281524658203125,
-0.049072265625,
0.0... |
VarunRaj/my-pet-dog-jkl | 2023-10-24T10:44:41.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | VarunRaj | null | null | VarunRaj/my-pet-dog-jkl | 0 | 1,540 | diffusers | 2023-10-24T10:40:57 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog-jkl Dreambooth model trained by VarunRaj following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: BITS-309
Sample pictures of this concept:
![0](https://huggi... | 597 | [
[
-0.05902099609375,
-0.0283966064453125,
0.0204925537109375,
0.00884246826171875,
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0.04595947265625,
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0.034423828125,
0.0312042236328125,
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-0.031341552734375,
-0.01221466064453125,
0.0... |
KoboldAI/fairseq-dense-6.7B-Shinen | 2022-04-13T08:19:31.000Z | [
"transformers",
"pytorch",
"xglm",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/fairseq-dense-6.7B-Shinen | 0 | 1,539 | transformers | 2022-04-07T18:30:40 | ---
language: en
license: mit
---
# Fairseq-dense 6.7B - Shinen
## Model Description
Fairseq-dense 6.7B-Shinen is a finetune created using Fairseq's MoE dense model. Compared to GPT-Neo-2.7-Horni, this model is much heavier on the sexual content.
**Warning: THIS model is NOT suitable for use by minors. The model will o... | 1,304 | [
[
-0.007419586181640625,
-0.060791015625,
0.024932861328125,
0.029632568359375,
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0.043060302734375,
-0.049102783203125,
-0.033599853515625,
-0.0343017578125,
0.008... |
komfysach/groow-tokens-5 | 2023-10-31T15:43:51.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | komfysach | null | null | komfysach/groow-tokens-5 | 0 | 1,539 | diffusers | 2023-10-31T15:39:37 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### groow_tokens_5 Dreambooth model trained by komfysach with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Co... | 505 | [
[
-0.0265655517578125,
-0.0635986328125,
0.04638671875,
0.0240325927734375,
-0.031585693359375,
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0.0300140380859375,
-0.0185394287109375,
0.047332763671875,
0.0150604248046875,
-0.0169830322265625,
-0.0276947021484375,
-0.04931640625,
-0.0163... |
ml6team/mt5-small-german-query-generation | 2022-04-27T06:24:37.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"query-generation",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | ml6team | null | null | ml6team/mt5-small-german-query-generation | 1 | 1,538 | transformers | 2022-04-26T13:51:02 | ---
language:
- de
tags:
- pytorch
- query-generation
widget:
- text: "Das Lama (Lama glama) ist eine Art der Kamele. Es ist in den südamerikanischen Anden verbreitet und eine vom Guanako abstammende Haustierform."
example_title: "Article 1"
license: apache-2.0
metrics:
- Rouge-Score
---
# mt5-small-german-query-gen... | 1,227 | [
[
-0.036346435546875,
-0.05364990234375,
0.039520263671875,
0.01519775390625,
-0.046356201171875,
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-0.019073486328125,
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0.01433563232421875,
0.03814697265625,
-0.048675537109375,
-0.07135009765625,
-0.038116455078125,
0.... |
Salesforce/xgen-7b-8k-base | 2023-10-24T17:36:54.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2309.03450",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Salesforce | null | null | Salesforce/xgen-7b-8k-base | 299 | 1,538 | transformers | 2023-06-28T00:57:54 | ---
license: apache-2.0
---
# XGen-7B-8K-Base
Official research release for the family of **XGen** models (`7B`) by Salesforce AI Research:
*Title*: [Long Sequence Modeling with XGen: A 7B LLM Trained on 8K Input Sequence Length](https://arxiv.org/abs/2309.03450)
*Authors*: [Erik Nijkamp](https://eriknijkamp.com)\*... | 2,858 | [
[
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0.0291290283203125,
-0.047821044921875,
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... |
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