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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
digiplay/Realisian_v5 | 2023-07-12T12:47:08.000Z | [
"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/Realisian_v5 | 6 | 1,538 | diffusers | 2023-07-12T12:11:07 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/47130?modelVersionId=115942
Sample images I made
![d21be49a-7208-4eb3-9dc7-ca06ec1c2fcc.jpeg](https://cdn-uploads.huggingface.co/production/uploads/646c8... | 832 | [
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-0.03875732421875,
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facebook/data2vec-audio-large | 2022-04-18T16:29:14.000Z | [
"transformers",
"pytorch",
"data2vec-audio",
"feature-extraction",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2202.03555",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | facebook | null | null | facebook/data2vec-audio-large | 1 | 1,537 | transformers | 2022-04-02T15:59:46 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# Data2Vec-Audio-Large
[Facebook's Data2Vec](https://ai.facebook.com/research/data2vec-a-general-framework-for-self-supervised-learning-in-speech-vision-and-language/)
The large model pretrained on 16kHz sampled speech audio. When u... | 2,385 | [
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digiplay/Realisian_v1 | 2023-07-08T22:59:08.000Z | [
"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/Realisian_v1 | 2 | 1,537 | diffusers | 2023-07-08T15:08:17 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
https://civitai.com/models/47130?modelVersionId=51711
Sample image I made :
![1bb94199-9bb2-4e5d-ad95-02bd1692f3b4.jpeg](https://cdn-uploads.huggingface.co/production/uploads/646c83c871d0c8a6e4455... | 504 | [
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0.0000364184... |
microsoft/resnet-101 | 2022-07-01T17:33:19.000Z | [
"transformers",
"pytorch",
"tf",
"resnet",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1512.03385",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | microsoft | null | null | microsoft/resnet-101 | 5 | 1,536 | transformers | 2022-03-16T15:43:40 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
---
# ResNet-101 v1.5
ResNet model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in the paper [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385) by He et al.
Disclaimer: The team... | 2,665 | [
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0.0... |
Helsinki-NLP/opus-mt-gl-en | 2023-08-16T11:38:00.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"gl",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-gl-en | 0 | 1,533 | transformers | 2022-03-02T23:29:04 | ---
language:
- gl
- en
tags:
- translation
license: apache-2.0
---
### glg-eng
* source group: Galician
* target group: English
* OPUS readme: [glg-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-eng/README.md)
* model: transformer-align
* source language(s): glg
* target langua... | 2,058 | [
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0.02140... |
timm/beit_large_patch16_512.in22k_ft_in22k_in1k | 2023-05-08T23:32:40.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2106.08254",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/beit_large_patch16_512.in22k_ft_in22k_in1k | 0 | 1,531 | timm | 2022-12-23T02:31:40 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for beit_large_patch16_512.in22k_ft_in22k_in1k
A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visua... | 3,742 | [
[
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0.0274200439453125,
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JosephusCheung/Pwen-VL-Chat-20_30 | 2023-10-10T05:50:25.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"qwen",
"en",
"zh",
"license:gpl-3.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | JosephusCheung | null | null | JosephusCheung/Pwen-VL-Chat-20_30 | 0 | 1,529 | transformers | 2023-10-05T12:36:16 | ---
license: gpl-3.0
language:
- en
- zh
tags:
- llama
- llama2
- qwen
---
WIP (20/30), recalibrated and fine-tuned on (852/1278)M SFT tokens, etwa (7\~11/10\~17) GPU days on Nvidia A100.
| 188 | [
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0.0007843971252441406,
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-0.006137847900390625,
-0.0286712646484375,
... |
openmmlab/upernet-swin-base | 2023-05-03T20:51:22.000Z | [
"transformers",
"pytorch",
"safetensors",
"upernet",
"vision",
"image-segmentation",
"en",
"arxiv:1807.10221",
"arxiv:2103.14030",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-segmentation | openmmlab | null | null | openmmlab/upernet-swin-base | 1 | 1,528 | transformers | 2023-01-13T14:34:17 | ---
language: en
license: mit
tags:
- vision
- image-segmentation
model_name: openmmlab/upernet-swin-base
---
# UperNet, Swin Transformer base-sized backbone
UperNet framework for semantic segmentation, leveraging a Swin Transformer backbone. UperNet was introduced in the paper [Unified Perceptual Parsing for Scene U... | 1,630 | [
[
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0.053466796875,
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-0.04052734375,
-0.0306396484375,
-0.020935058593... |
snunlp/KR-Medium | 2021-11-22T06:19:42.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"ko",
"endpoints_compatible",
"region:us"
] | null | snunlp | null | null | snunlp/KR-Medium | 5 | 1,527 | transformers | 2022-03-02T23:29:05 | ---
language:
- ko
---
# KR-BERT-MEDIUM
A pretrained Korean-specific BERT model developed by Computational Linguistics Lab at Seoul National University.
It is based on our character-level [KR-BERT](https://github.com/snunlp/KR-BERT) model which utilize WordPiece tokenizer.
Here, the model name has a suffix 'MEDIUM... | 4,745 | [
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-0.05743408203125,
-0.0001369... |
timm/swin_large_patch4_window12_384.ms_in22k_ft_in1k | 2023-03-18T04:12:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2103.14030",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swin_large_patch4_window12_384.ms_in22k_ft_in1k | 0 | 1,526 | timm | 2023-03-18T04:11:30 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for swin_large_patch4_window12_384.ms_in22k_ft_in1k
A Swin Transformer image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details... | 4,535 | [
[
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0.0279083251953125,
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-0.04931640625,
-0.0455322265625,
-0.014617... |
timm/resnest26d.gluon_in1k | 2023-04-23T23:35:18.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2004.08955",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnest26d.gluon_in1k | 0 | 1,526 | timm | 2023-04-23T23:35:07 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for resnest26d.gluon_in1k
A ResNeSt (ResNet based architecture with Split Attention) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image cla... | 3,757 | [
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nerijs/lego-minifig-xl | 2023-08-13T20:43:31.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:apache-2.0",
"has_space",
"region:us"
] | text-to-image | nerijs | null | null | nerijs/lego-minifig-xl | 19 | 1,524 | diffusers | 2023-08-13T20:36:32 | ---
license: apache-2.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: lego minifig
widget:
- text: lego minifig of a samurai
---
# LEGO Minifig XL
## Consider supporting further research on [Patreon](https://www.patreon.com/user?u=29466... | 836 | [
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0.02... |
Yntec/WesternAnimation | 2023-08-12T19:41:57.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Western Animation Diffusion",
"Lykon",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/WesternAnimation | 1 | 1,523 | diffusers | 2023-07-18T01:34:22 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Western Animation Diffusion
- Lykon
---
# Western Animation Diffusion
Model by Lykon
Original page:
https://civitai.com/models/86546/western-anim... | 335 | [
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MU-NLPC/whisper-small-audio-captioning | 2023-05-15T21:48:24.000Z | [
"transformers",
"pytorch",
"whisper",
"en",
"dataset:AudioSet",
"dataset:AudioCaps",
"dataset:Clotho-v2.1",
"license:cc-by-nc-4.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | MU-NLPC | null | null | MU-NLPC/whisper-small-audio-captioning | 1 | 1,522 | transformers | 2023-05-15T17:48:16 | ---
datasets:
- AudioSet
- AudioCaps
- Clotho-v2.1
metrics:
- SPICE
- CIDEr
- SPIDEr
- METEOR
- SacreBLEU
model-index:
- name: whisper-small-audio-captioning
results:
- task:
type: audio-captioning
name: Audio Captioning
dataset:
type: clotho-v2.1
name: Clotho
split: evaluation
... | 5,397 | [
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nherve/flaubert-oral-ft | 2022-04-04T10:27:14.000Z | [
"transformers",
"pytorch",
"bert",
"language-model",
"flaubert",
"french",
"flaubert-base",
"uncased",
"asr",
"speech",
"oral",
"natural language understanding",
"NLU",
"spoken language understanding",
"SLU",
"understanding",
"fr",
"license:mit",
"endpoints_compatible",
"region... | null | nherve | null | null | nherve/flaubert-oral-ft | 1 | 1,521 | transformers | 2022-03-23T12:33:05 | ---
language: fr
license: mit
tags:
- bert
- language-model
- flaubert
- french
- flaubert-base
- uncased
- asr
- speech
- oral
- natural language understanding
- NLU
- spoken language understanding
- SLU
- understanding
---
# FlauBERT-Oral models: Using ASR-Generated Text for Spoken Language Mode... | 2,210 | [
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SmilingWolf/wd-v1-4-moat-tagger-v2 | 2023-05-20T07:12:07.000Z | [
"keras",
"onnx",
"arxiv:2210.01820",
"license:apache-2.0",
"has_space",
"region:us"
] | null | SmilingWolf | null | null | SmilingWolf/wd-v1-4-moat-tagger-v2 | 34 | 1,520 | keras | 2023-05-20T06:21:45 | ---
license: apache-2.0
---
# WD 1.4 MOAT Tagger V2
Supports ratings, characters and general tags.
Trained using https://github.com/SmilingWolf/SW-CV-ModelZoo.
TPUs used for training kindly provided by the [TRC program](https://sites.research.google/trc/about/).
## Dataset
Last image id: 5944504
Trained on Danbo... | 856 | [
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ai4bharat/indictrans2-en-indic-1B | 2023-09-12T12:35:08.000Z | [
"transformers",
"pytorch",
"IndicTrans",
"text2text-generation",
"indictrans2",
"translation",
"ai4bharat",
"multilingual",
"custom_code",
"as",
"bn",
"brx",
"doi",
"en",
"gom",
"gu",
"hi",
"kn",
"ks",
"kas",
"mai",
"ml",
"mr",
"mni",
"mnb",
"ne",
"or",
"pa",
... | translation | ai4bharat | null | null | ai4bharat/indictrans2-en-indic-1B | 4 | 1,519 | transformers | 2023-09-09T13:02:59 | ---
language:
- as
- bn
- brx
- doi
- en
- gom
- gu
- hi
- kn
- ks
- kas
- mai
- ml
- mr
- mni
- mnb
- ne
- or
- pa
- sa
- sat
- sd
- snd
- ta
- te
- ur
language_details: >-
asm_Beng, ben_Beng, brx_Deva, doi_Deva, eng_Latn, gom_Deva, guj_Gujr,
hin_Deva, kan_Knda, kas_Arab, kas_Deva, mai_Deva, mal_Mlym, mar_Deva,
... | 1,865 | [
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42dot/42dot_LLM-PLM-1.3B | 2023-09-26T04:09:34.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"causal-lm",
"42dot_llm",
"en",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | 42dot | null | null | 42dot/42dot_LLM-PLM-1.3B | 12 | 1,518 | transformers | 2023-09-04T05:54:07 | ---
language:
- en
- ko
pipeline_tag: text-generation
tags:
- pytorch
- llama
- causal-lm
- 42dot_llm
license: cc-by-nc-4.0
---
# 42dot_LLM-PLM-1.3B
**42dot LLM-PLM** is a pre-trained language model (PLM) developed by [**42dot**](https://42dot.ai/) and is a part of **42dot LLM** (large language model). 42dot LLM-PLM i... | 7,365 | [
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facebook/mask2former-swin-large-mapillary-vistas-panoptic | 2023-09-07T15:31:16.000Z | [
"transformers",
"pytorch",
"safetensors",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | facebook | null | null | facebook/mask2former-swin-large-mapillary-vistas-panoptic | 2 | 1,517 | transformers | 2023-01-05T00:48:59 | ---
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 Mapillary Vistas pano... | 3,241 | [
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-0.022918701171875,
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-0.026... |
cyberagent/open-calm-3b | 2023-05-18T01:11:50.000Z | [
"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-3b | 15 | 1,517 | transformers | 2023-05-15T07:14:36 | ---
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
- mc4
language:
- ja
tags:
- japanese
- causal-lm
inference: false
---
# OpenCALM-3B
## Model Description
OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by CyberAgent, Inc.
## Usage
```python
import torch
from t... | 3,366 | [
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0.038604736328125,
-0.035888671875,
-0.05682373046875,
-0.0338134765625,
0.0... |
allamand/dogbooth | 2023-10-25T18:02:25.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dreambooth",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | allamand | null | null | allamand/dogbooth | 0 | 1,517 | diffusers | 2023-10-13T16:57:21 |
---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2-1
instance_prompt: a photo of [v]dog
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- dreambooth
inference: true
---
# DreamBooth - allamand/dogbooth
This is a dreambooth model derived from stabilitya... | 548 | [
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0.0286865234375,
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-0.02606201171875,
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-0.0142... |
Rajkumar7093626243/my-pet-dog | 2023-10-18T11:13:07.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Rajkumar7093626243 | null | null | Rajkumar7093626243/my-pet-dog | 0 | 1,516 | diffusers | 2023-10-18T11:08:53 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by Rajkumar7093626243 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](https:/... | 517 | [
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PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T | 2023-11-05T03:48:35.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | PY007 | null | null | PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T | 34 | 1,516 | transformers | 2023-11-04T04:30:39 | ---
license: apache-2.0
datasets:
- cerebras/SlimPajama-627B
- bigcode/starcoderdata
language:
- en
---
<div align="center">
# TinyLlama-1.1B
</div>
https://github.com/jzhang38/TinyLlama
The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achi... | 2,983 | [
[
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-0.03759765625,
... |
EIStakovskii/xlm_roberta_base_multilingual_toxicity_classifier_plus | 2023-05-02T10:28:52.000Z | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"text-classification",
"multilingual",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | EIStakovskii | null | null | EIStakovskii/xlm_roberta_base_multilingual_toxicity_classifier_plus | 1 | 1,515 | transformers | 2022-10-25T06:40:35 | ---
language: multilingual # <-- my language
widget:
- text: "J'aime ta coiffure"
- text: "Va te faire foutre"
- text: "Quel mauvais temps, n'est-ce pas ?"
- text: "J'espère que tu vas mourir, connard !"
- text: "j'aime beaucoup ta veste"
- text: "Guten morgen, meine Liebe"
- text: "Ich scheiß drauf."
... | 1,707 | [
[
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0.040130615234375,
-0.034912109375,
-0.07745361328125,
-0.046905517578125,
... |
darkstorm2150/Protogen_x5.3_Official_Release | 2023-01-27T17:43:57.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"protogen",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | darkstorm2150 | null | null | darkstorm2150/Protogen_x5.3_Official_Release | 104 | 1,514 | diffusers | 2023-01-05T04:31:50 | ---
language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
- protogen
inference: true
license: creativeml-openrail-m
---
<center><img src="https://huggingface.co/darkstorm2150/Protogen_x5.3_Official_Release/resolve/main/Protogen%20x5.3-512.png" style="height:40... | 9,233 | [
[
-0.0487060546875,
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0.0175628662109375,
0.034393310546875,
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0.01178741455078125,
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0.027984619140625,
0.00754547119140625,
-0.0452880859375,
-0.0343017578125,
-0.03564453125,
-0.0038... |
digiplay/m3u | 2023-11-01T14:40:17.000Z | [
"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/m3u | 3 | 1,514 | diffusers | 2023-07-02T11:36:28 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
***in test in test in test in test in test in test in test***
*Sample images & prompt example :*
8k UHD RAW,photorealistic ,beautiful _your keywords_ ,tiny smile ,close-up ,masterpiece ,realistic ... | 1,232 | [
[
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0.0218505859375,
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-0.0244903564453125,
-0.022491455078125,
0.01... |
BridgeTower/bridgetower-base-itm-mlm | 2023-01-27T02:12:53.000Z | [
"transformers",
"pytorch",
"bridgetower",
"en",
"dataset:conceptual_captions",
"dataset:sbu_captions",
"dataset:visual_genome",
"dataset:mscoco_captions",
"arxiv:2206.08657",
"arxiv:1504.00325",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | BridgeTower | null | null | BridgeTower/bridgetower-base-itm-mlm | 2 | 1,512 | transformers | 2022-12-08T00:36:43 | ---
language: en
tags:
- bridgetower
license: mit
datasets:
- conceptual_captions
- sbu_captions
- visual_genome
- mscoco_captions
---
# BridgeTower base-itm-mlm model
The BridgeTower model was proposed in "BridgeTower: Building Bridges Between Encoders in Vision-Language Representative Learning" by Xiao Xu, Chenfei ... | 5,202 | [
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0.04986572265625,
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-0.0526123046875,
0.0122... |
Helsinki-NLP/opus-mt-tc-big-en-tr | 2023-08-16T12:10:49.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"opus-mt-tc",
"en",
"tr",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-tc-big-en-tr | 6 | 1,511 | transformers | 2022-04-13T15:11:47 | ---
language:
- en
- tr
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-en-tr
results:
- task:
name: Translation eng-tur
type: translation
args: eng-tur
dataset:
name: flores101-devtest
type: flores_101
args: eng tur devtest
metrics... | 7,138 | [
[
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0.0290374755859375,
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-0.050079345703125,
-0.0447998046875,
0.028244018... |
nlpodyssey/bert-multilingual-uncased-geo-countries-headlines | 2023-04-13T21:40:29.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en... | text-classification | nlpodyssey | null | null | nlpodyssey/bert-multilingual-uncased-geo-countries-headlines | 4 | 1,511 | transformers | 2022-09-24T11:17:01 | ---
license: apache-2.0
language:
- multilingual
- af
- sq
- ar
- an
- hy
- ast
- az
- ba
- eu
- bar
- be
- bn
- inc
- bs
- br
- bg
- my
- ca
- ceb
- ce
- zh
- cv
- hr
- cs
- da
- nl
- en
- et
- fi
- fr
- gl
- ka
- de
- el
- gu
- ht
- he
- hi
- hu
- is
- io
- id
- ga
- it
- ja
- jv
- kn
- kk
- ky
- ko
- la
- lv
- lt
-... | 920 | [
[
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0.042388916015625,
-0.050537109375,
-0.06964111328125,
-0.046661376953125,
0.0042877197... |
deepfile/embedder-100p | 2023-09-25T14:04:29.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"mteb",
"model-index",
"endpoints_compatible",
"region:us"
] | sentence-similarity | deepfile | null | null | deepfile/embedder-100p | 0 | 1,511 | transformers | 2023-07-24T11:02:34 | ---
pipeline_tag: sentence-similarity
tags:
- feature-extraction
- sentence-similarity
- transformers
- mteb
model-index:
- name: embedder-100p
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
... | 65,869 | [
[
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... |
anton-l/wav2vec2-large-xlsr-53-romanian | 2021-07-05T20:20:21.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"ro",
"dataset:common_voice",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | anton-l | null | null | anton-l/wav2vec2-large-xlsr-53-romanian | 2 | 1,509 | transformers | 2022-03-02T23:29:05 | ---
language: ro
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Romanian XLSR Wav2Vec2 Large 53 by Anton Lozhkov
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | 4,152 | [
[
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-0.04754638671875,
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-0.049957275390625,
-0.051849365234375,
-0.03436279296875,
... |
Gourishreeka/my-pet-cat | 2023-11-05T17:55:05.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Gourishreeka | null | null | Gourishreeka/my-pet-cat | 0 | 1,509 | diffusers | 2023-11-05T17:51:53 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Cat Dreambooth model trained by Gourishreeka following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: -MRCEW-312
Sample pictures of this concept:
![0](https://huggingfa... | 397 | [
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0.06536865234375,
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-0.00791168212890625,
-0.0055389404296875,
0.012... |
deepseek-ai/deepseek-coder-6.7b-instruct | 2023-11-05T16:22:22.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | deepseek-ai | null | null | deepseek-ai/deepseek-coder-6.7b-instruct | 39 | 1,508 | transformers | 2023-10-29T11:01:36 | ---
license: other
license_name: deepseek
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://code... | 3,474 | [
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0.01099395751953125,
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-0.042572021484375,
-0.04937744140625,... |
timm/mobilenetv2_110d.ra_in1k | 2023-04-27T21:14:17.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1801.04381",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mobilenetv2_110d.ra_in1k | 0 | 1,507 | timm | 2022-12-13T00:00:34 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mobilenetv2_110d.ra_in1k
A MobileNet-v2 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Inspired b... | 4,753 | [
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-0.042083740234375,
-0.046356201171... |
JosephusCheung/Qwen-VL-LLaMAfied-7B-Chat | 2023-09-25T22:38:03.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"qwen",
"en",
"zh",
"license:gpl-3.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | JosephusCheung | null | null | JosephusCheung/Qwen-VL-LLaMAfied-7B-Chat | 28 | 1,506 | transformers | 2023-08-30T18:57:53 | ---
language:
- en
- zh
tags:
- llama
- llama2
- qwen
license: gpl-3.0
---
This is the LLaMAfied replica of [Qwen/Qwen-VL-Chat](https://huggingface.co/Qwen/Qwen-VL-Chat) (Original Version before 25.09.2023), recalibrated to fit the original LLaMA/LLaMA-2-like model structure.
You can use LlamaForCausalLM for model in... | 1,081 | [
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0.052398681640625,
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1aurent/vit_base_patch16_224.owkin_pancancer | 2023-11-03T16:15:18.000Z | [
"timm",
"pytorch",
"safetensors",
"feature-extraction",
"image-classification",
"biology",
"cancer",
"owkin",
"histology",
"dataset:owkin/camelyon16-features",
"dataset:owkin/nct-crc-he",
"license:other",
"model-index",
"co2_eq_emissions",
"region:us"
] | feature-extraction | 1aurent | null | null | 1aurent/vit_base_patch16_224.owkin_pancancer | 2 | 1,506 | timm | 2023-10-22T22:56:17 | ---
tags:
- feature-extraction
- image-classification
- timm
- biology
- cancer
- owkin
- histology
library_name: timm
model-index:
- name: owkin_pancancer
results:
- task:
type: image-classification
name: Image Classification
dataset:
name: Camelyon16[Meta]
type: image-classification
... | 7,319 | [
[
-0.033447265625,
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-0.042694091796875,
0.0... |
akdeniz27/bert-base-turkish-cased-ner | 2023-03-18T23:08:33.000Z | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"token-classification",
"tr",
"doi:10.57967/hf/0949",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | akdeniz27 | null | null | akdeniz27/bert-base-turkish-cased-ner | 7 | 1,500 | transformers | 2022-03-02T23:29:05 | ---
language: tr
widget:
- text: "Mustafa Kemal Atatürk 19 Mayıs 1919'da Samsun'a çıktı."
---
# Turkish Named Entity Recognition (NER) Model
This model is the fine-tuned model of "dbmdz/bert-base-turkish-cased"
using a reviewed version of well known Turkish NER dataset
(https://github.com/stefan-it/turkish-bert/fil... | 2,023 | [
[
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... |
Yntec/3DKX2 | 2023-10-11T05:33:11.000Z | [
"diffusers",
"General",
"3D",
"Cartoon",
"unvailai",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/3DKX2 | 0 | 1,496 | diffusers | 2023-10-11T03:55:41 | ---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- 3D
- Cartoon
- unvailai
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
inference: false
---
Warning: This model is horny! Add "nude, naked" to the negative prompt if want to avoid NSFW.
# 3DKX 2
Chec... | 845 | [
[
-0.028106689453125,
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0.055908203125,
-0.046539306640625,
-0.0313720703125,
-0.049102783203125,
-0.0034... |
ccdv/lsg-bart-base-4096 | 2023-08-31T21:27:53.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"summarization",
"long context",
"fill-mask",
"custom_code",
"en",
"arxiv:2210.15497",
"arxiv:1910.13461",
"autotrain_compatible",
"region:us"
] | fill-mask | ccdv | null | null | ccdv/lsg-bart-base-4096 | 2 | 1,495 | transformers | 2022-03-02T23:29:05 | ---
tags:
- summarization
- bart
- long context
language:
- en
pipeline_tag: fill-mask
---
# LSG model
**Transformers >= 4.23.1**\
**This model relies on a custom modeling file, you need to add trust_remote_code=True**\
**See [\#13467](https://github.com/huggingface/transformers/pull/13467)**
LSG ArXiv [paper](https... | 6,265 | [
[
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-0.037567138671875,
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... |
deepset/bert-base-uncased-squad2 | 2023-03-24T14:15:37.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:squad_v2",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | deepset | null | null | deepset/bert-base-uncased-squad2 | 2 | 1,495 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: cc-by-4.0
datasets:
- squad_v2
model-index:
- name: deepset/bert-base-uncased-squad2
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_v2
type: squad_v2
config: squad_v2
split: validation
metrics:
- type:... | 2,621 | [
[
-0.0260467529296875,
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-0.0248565673828125,
-0.01... |
etri-xainlp/llama2-ko-13b-instruct | 2023-10-06T09:50:41.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | etri-xainlp | null | null | etri-xainlp/llama2-ko-13b-instruct | 0 | 1,495 | transformers | 2023-10-06T04:43:16 | ---
license: apache-2.0
---
# llama2-ko-13b-instruct
This model is a fine-tuned version of [meta-llama/Llama-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on an instruction-following dataset(650k). | 212 | [
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0.00099849... |
almanach/camembert-bio-base | 2023-09-26T13:51:54.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"camembert",
"fill-mask",
"biomedical",
"clinical",
"life sciences",
"fr",
"dataset:rntc/biomed-fr",
"arxiv:2306.15550",
"doi:10.57967/hf/0586",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | almanach | null | null | almanach/camembert-bio-base | 8 | 1,494 | transformers | 2023-02-23T15:03:44 | ---
license: mit
language:
- fr
pipeline_tag: fill-mask
tags:
- biomedical
- clinical
- life sciences
datasets:
- rntc/biomed-fr
widget:
- text: >-
Les médicaments <mask> typiques sont largement utilisés dans le traitement
de première intention des patients schizophrènes.
library_name: transformers
---
<a href... | 7,685 | [
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0.036407470703125,
-0.031890869140625,
-0.06591796875,
-0.040618896484375,
0.0... |
Yntec/Dreamscape | 2023-09-01T17:48:15.000Z | [
"diffusers",
"fantasy",
"art",
"realistic",
"artistic",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Lykon",
"DarkAgent",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Dreamscape | 0 | 1,491 | diffusers | 2023-09-01T12:31:01 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- fantasy
- art
- realistic
- artistic
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- Lykon
- DarkAgent
inference: true
---
A mix of NeverEndingDream 1.22 and Dreamscapes & Dragonfire 2 to bri... | 1,585 | [
[
-0.02398681640625,
-0.031646728515625,
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-0.0838623046875,
-0.0325927734375,
-0.026611328125,
-0.0058746337890625... |
DiogoXP/pxogoid2 | 2023-07-27T10:32:29.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | DiogoXP | null | null | DiogoXP/pxogoid2 | 0 | 1,490 | diffusers | 2023-07-27T10:19:40 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### PXogoid2 Dreambooth model trained by DiogoXP 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 [fas... | 497 | [
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daekeun-ml/Llama-2-ko-instruct-13B | 2023-10-30T01:57:07.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-2",
"instruct",
"instruction",
"ko",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | daekeun-ml | null | null | daekeun-ml/Llama-2-ko-instruct-13B | 5 | 1,489 | transformers | 2023-10-29T16:13:27 | ---
language:
- ko
tags:
- llama-2
- instruct
- instruction
pipeline_tag: text-generation
license: llama2
---
# Llama-2-ko-instruct-13B
### Model Details
- Base Model: [LLaMA-2-koen-13B](https://huggingface.co/beomi/llama-2-koen-13b)
### Datasets
- Added some English to Korean translation data based on the KOpen-pla... | 1,001 | [
[
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-0.058502197265625,
0.05242919921875,
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0... |
unicamp-dl/ptt5-base-portuguese-vocab | 2021-03-24T22:16:54.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"tensorflow",
"pt",
"pt-br",
"dataset:brWaC",
"license:mit",
"autotrain_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | unicamp-dl | null | null | unicamp-dl/ptt5-base-portuguese-vocab | 19 | 1,488 | transformers | 2022-03-02T23:29:05 | ---
language: pt
license: mit
tags:
- t5
- pytorch
- tensorflow
- pt
- pt-br
datasets:
- brWaC
widget:
- text: "Texto de exemplo em português"
inference: false
---
# Portuguese T5 (aka "PTT5")
## Introduction
PTT5 is a T5 model pretrained in the BrWac corpus, a large collection of web pages in Portuguese, improvi... | 2,739 | [
[
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0.0235748291015625,
-0.031494140625,
-0.066162109375,
-0.056396484375,
0.02488... |
DopeorNope/COLA3-7B | 2023-10-19T15:29:44.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"ko",
"dataset:DopeorNope/combined",
"arxiv:2307.09288",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | DopeorNope | null | null | DopeorNope/COLA3-7B | 1 | 1,488 | transformers | 2023-10-03T04:15:32 | ---
language:
- en
- ko
datasets:
- DopeorNope/combined
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`.**
# **COLA3-7B : Lamm2 7B 베이스 모델을 IA3방식으로 Fine tuning한 모델**
** IA3방식에 대한 디테일 정보: [K(... | 2,611 | [
[
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razent/SciFive-base-Pubmed_PMC | 2023-08-30T11:18:24.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"token-classification",
"text-classification",
"question-answering",
"text-generation",
"en",
"dataset:pubmed",
"dataset:pmc/open_access",
"arxiv:2106.03598",
"autotrain_compatible",
"endpoints_compa... | text-classification | razent | null | null | razent/SciFive-base-Pubmed_PMC | 4 | 1,487 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- token-classification
- text-classification
- question-answering
- text2text-generation
- text-generation
datasets:
- pubmed
- pmc/open_access
---
# SciFive Pubmed+PMC Base
## Introduction
Paper: [SciFive: a text-to-text transformer model for biomedical literature](https://arxiv.org/abs... | 1,388 | [
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nota-ai/bk-sdm-tiny | 2023-08-19T12:15:47.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dataset:ChristophSchuhmann/improved_aesthetics_6.5plus",
"arxiv:2305.15798",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | nota-ai | null | null | nota-ai/bk-sdm-tiny | 14 | 1,485 | diffusers | 2023-07-12T10:53:04 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
datasets:
- ChristophSchuhmann/improved_aesthetics_6.5plus
library_name: diffusers
pipeline_tag: text-to-image
extra_gated_prompt: >-
This model is open access and available to all, with a CreativeML OpenRAIL-M
... | 11,924 | [
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0.033905029296875,
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-0.036346435546875,
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0.0... |
timm/resnetrs50.tf_in1k | 2023-04-05T18:45:44.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2103.07579",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnetrs50.tf_in1k | 0 | 1,482 | timm | 2023-04-05T18:45:06 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnetrs50.tf_in1k
A ResNetRS-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k by paper a... | 38,363 | [
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0... |
vihangd/smartyplats-7b-v1 | 2023-10-27T10:44:59.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | vihangd | null | null | vihangd/smartyplats-7b-v1 | 0 | 1,481 | transformers | 2023-10-20T11:13:16 | ---
license: apache-2.0
---
<p><h1> SmartyPlats-7b </h1></p>
An experimental finetune of Mistrel 7b with QLoRA
<h2> Datasets </h2>
Trained on alpca style datasets
<p><h2> Prompt Template </h2></p>
Uses alpaca style prompt template | 232 | [
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-0.00759124755859375,
... |
IlyaGusev/ru-word-stress-transformer | 2022-12-31T00:21:39.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"token-classification",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | token-classification | IlyaGusev | null | null | IlyaGusev/ru-word-stress-transformer | 2 | 1,480 | transformers | 2022-07-06T18:30:23 | ---
language:
- ru
tags:
- token-classification
license: apache-2.0
inference: false
---
# RuWordStressTransformer
## Model description
Transformer encoder for predicting word stress in Russian.
## Intended uses & limitations
#### How to use
```python
from transformers import AutoTokenizer, AutoModelForTokenCla... | 932 | [
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0.0116729736328125,
0.00020575523376464844,
-0.05230712890625,
-0.035675048828125,
-0.07391... |
daekeun-ml/Llama-2-ko-DPO-13B | 2023-10-31T13:19:37.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-2",
"dpo",
"ko",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | daekeun-ml | null | null | daekeun-ml/Llama-2-ko-DPO-13B | 12 | 1,479 | transformers | 2023-10-31T08:44:53 | ---
language:
- ko
tags:
- llama-2
- dpo
pipeline_tag: text-generation
license: llama2
---
# Llama-2-ko-DPO-13B
Based on the changed criteria from Open-AI-LLM leaderboard, the evaluation metric exceeded 50 percent for the first time. I am pretty proud of myself, even though this score will soon fade into the backgrou... | 2,591 | [
[
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-0.060272216796875,
-0.0533447265625,
0.01141357421875... |
kyujinpy/CoT-llama-2k-7b | 2023-10-19T13:28:07.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"dataset:kyujinpy/KoCoT_2000",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | kyujinpy | null | null | kyujinpy/CoT-llama-2k-7b | 3 | 1,477 | transformers | 2023-09-23T19:02:28 | ---
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`.**
# **CoT-llama2-7B**
**More detail repo(Github): [CoT-llama2]... | 5,725 | [
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-0.0482177734375,
-0.057861328125,
0.0211029052... |
wbbbbb/wav2vec2-large-chinese-zh-cn | 2023-09-11T00:07:38.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"wav2vec2",
"pretraining",
"audio",
"automatic-speech-recognition",
"speech",
"xlsr-fine-tuning-week",
"zh",
"dataset:common_voice",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | wbbbbb | null | null | wbbbbb/wav2vec2-large-chinese-zh-cn | 33 | 1,476 | transformers | 2022-07-18T06:21:56 | ---
language: zh
datasets:
- common_voice
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Chinese (zh-CN) by wbbbbb
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | 4,690 | [
[
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-0.04364013671875,
-0.056427001953125,
-0.03460693359375,
-... |
EleutherAI/pythia-160m-deduped-v0 | 2023-07-10T01:30:40.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"pythia_v0",
"en",
"dataset:EleutherAI/the_pile_deduplicated",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",... | text-generation | EleutherAI | null | null | EleutherAI/pythia-160m-deduped-v0 | 7 | 1,476 | transformers | 2022-10-18T02:59:41 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
- pythia_v0
license: apache-2.0
datasets:
- EleutherAI/the_pile_deduplicated
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research. It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8... | 11,894 | [
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0.01508331298828125,
0.0163421630859375,
-0.0238494873046875,
-0.024200439453125,
-0.035552978515625... |
timm/tf_efficientnetv2_b1.in1k | 2023-04-27T21:38:52.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnetv2_b1.in1k | 0 | 1,476 | timm | 2022-12-13T00:14:24 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_b1.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Typ... | 4,065 | [
[
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0.01294708251953125,
0.0284271240234375,
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-0.048248291015625,
-0.0550537109375,
... |
4i-ai/Llama-2-7b-alpaca-es | 2023-08-23T09:22:50.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"es",
"dataset:bertin-project/alpaca-spanish",
"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | text-generation | 4i-ai | null | null | 4i-ai/Llama-2-7b-alpaca-es | 7 | 1,476 | transformers | 2023-08-10T07:51:19 | ---
license: cc-by-nc-4.0
datasets:
- bertin-project/alpaca-spanish
language:
- es
inference: false
---
# Model Card for Model ID
This model is the Llama-2-7b-hf fine-tuned with an adapter on the Spanish Alpaca dataset.
## Model Details
### Model Description
This is a Spanish chat model fine-tuned on a Spanish in... | 4,884 | [
[
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-0.03717041015625,
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0.... |
timm/fastvit_t12.apple_in1k | 2023-08-23T20:56:22.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2303.14189",
"license:other",
"region:us"
] | image-classification | timm | null | null | timm/fastvit_t12.apple_in1k | 0 | 1,476 | timm | 2023-08-23T20:56:16 | ---
tags:
- image-classification
- timm
library_name: timm
license: other
datasets:
- imagenet-1k
---
# Model card for fastvit_t12.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/8af5928238cab99c45f64f... | 3,665 | [
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-0.04620361328125,
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-0.01... |
deepmind/vision-perceiver-fourier | 2023-09-24T08:47:15.000Z | [
"transformers",
"pytorch",
"perceiver",
"image-classification",
"dataset:imagenet",
"arxiv:2107.14795",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | deepmind | null | null | deepmind/vision-perceiver-fourier | 2 | 1,475 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
datasets:
- imagenet
---
# Perceiver IO for vision (fixed Fourier position embeddings)
Perceiver IO model pre-trained on ImageNet (14 million images, 1,000 classes) at resolution 224x224. It was introduced in the paper [Perceiver IO: A General Architecture for Structured Inputs & Outputs](http... | 4,987 | [
[
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-0.00649261474609375,
-0.059478759765625,
0.01151275634765625,
0.01024627685546875,
-0.0301361083984375,
-0.018218994140625,
-0.0437927246093... |
allenai/led-large-16384 | 2023-01-24T16:27:05.000Z | [
"transformers",
"pytorch",
"tf",
"led",
"text2text-generation",
"en",
"arxiv:2004.05150",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | allenai | null | null | allenai/led-large-16384 | 21 | 1,474 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
---
## Introduction
[Allenai's Longformer Encoder-Decoder (LED)](https://github.com/allenai/longformer#longformer).
As described in [Longformer: The Long-Document Transformer](https://arxiv.org/pdf/2004.05150.pdf) by Iz Beltagy, Matthew E. Peters, Arman Cohan, *led-large-16384* w... | 868 | [
[
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0.02001953125,
0.0289306640625,
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-0.041961669921875,
0.0182800292... |
jonatasgrosman/wav2vec2-large-xlsr-53-italian | 2022-12-14T02:05:34.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"it",
"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-italian | 8 | 1,474 | transformers | 2022-03-02T23:29:05 | ---
language: it
license: apache-2.0
datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
- it
- mozilla-foundation/common_voice_6_0
- robust-speech-event
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 ... | 5,527 | [
[
-0.032470703125,
-0.039154052734375,
0.01357269287109375,
0.01367950439453125,
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0.0186920166015625,
0.01061248779296875,
-0.0455322265625,
-0.041046142578125,
-0.03594970703125,
... |
squirro/albert-base-v2-squad_v2 | 2023-01-31T14:37:20.000Z | [
"transformers",
"pytorch",
"tf",
"onnx",
"albert",
"question-answering",
"generated_from_trainer",
"en",
"dataset:squad_v2",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | squirro | null | null | squirro/albert-base-v2-squad_v2 | 3 | 1,474 | transformers | 2022-03-07T10:57:20 | ---
license: apache-2.0
language: en
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: albert-base-v2-squad_v2
results:
- task:
name: Question Answering
type: question-answering
dataset:
type: squad_v2 # Required. Example: common_voice. Use dataset id from https://hf.co... | 4,921 | [
[
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timm/eva02_base_patch14_448.mim_in22k_ft_in1k | 2023-03-31T05:45:05.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2303.11331",
"arxiv:2303.15389",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva02_base_patch14_448.mim_in22k_ft_in1k | 1 | 1,474 | timm | 2023-03-31T04:14:40 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for eva02_base_patch14_448.mim_in22k_ft_in1k
An EVA02 image classification model. Pretrained on ImageNet-22k with masked image modeling (using EVA-CLIP as a MIM teacher) and fine-tuned on Imag... | 5,399 | [
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0.02734375,
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0.0063438415... |
AVIIAX/majic6 | 2023-10-28T16:36:15.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | AVIIAX | null | null | AVIIAX/majic6 | 1 | 1,473 | diffusers | 2023-10-28T16:36:15 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/43331?modelVersionId=94640
| 193 | [
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-0... |
google/long-t5-tglobal-xl | 2023-01-24T17:11:32.000Z | [
"transformers",
"pytorch",
"jax",
"longt5",
"text2text-generation",
"en",
"arxiv:2112.07916",
"arxiv:1912.08777",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | google | null | null | google/long-t5-tglobal-xl | 20 | 1,472 | transformers | 2022-06-14T08:32:52 | ---
license: apache-2.0
language: en
---
# LongT5 (transient-global attention, XL-sized model)
LongT5 model pre-trained on English language. The model was introduced in the paper [LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://arxiv.org/pdf/2112.07916.pdf) by Guo et al. and first released in [... | 2,380 | [
[
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-0.0224151611328125,
-0.052215576171875,
0.006359100341796875,
0.0185089111328125,
-0.0423583984375,
-0.03485107421875,
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0.03... |
Yntec/elldrethSVividMix | 2023-09-30T06:51:50.000Z | [
"diffusers",
"General",
"Elldreth",
"Dream",
"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/elldrethSVividMix | 1 | 1,470 | diffusers | 2023-09-30T05:16:53 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- Elldreth
- Dream
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Elldreth's Vivid Mix
fp16 no-ema version of this model. Original page: https://huggingface.co/danbrown/elldreth-v... | 835 | [
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0.0380859375,
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-0.045867919921875,
-0.01003265380859375,
0.000120... |
bioformers/bioformer-8L-qnli | 2023-08-02T07:49:30.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"en",
"arxiv:1804.07461",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | bioformers | null | null | bioformers/bioformer-8L-qnli | 0 | 1,469 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
language:
- en
---
[bioformer-8L](https://huggingface.co/bioformers/bioformer-8L) fined-tuned on the [QNLI](https://huggingface.co/datasets/glue) dataset for 2 epochs.
The fine-tuning process was performed on two NVIDIA GeForce GTX 1080 Ti GPUs (11GB). The parameters are:
```
max_seq_length=51... | 1,597 | [
[
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0.03265380859375,
0.00362396240234375,
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0.01192474365234375,
0.0181884765625,
-0.056060791015625,
-0.0190277099609375,
-0.02252197265625,
0.... |
oshizo/sbert-jsnli-luke-japanese-base-lite | 2023-01-10T12:36:12.000Z | [
"sentence-transformers",
"pytorch",
"luke",
"feature-extraction",
"sentence-similarity",
"transformers",
"ja",
"dataset:shunk031/jsnli",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | oshizo | null | null | oshizo/sbert-jsnli-luke-japanese-base-lite | 23 | 1,468 | sentence-transformers | 2023-01-10T11:53:15 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: apache-2.0
datasets:
- shunk031/jsnli
language:
- ja
---
# sbert-jsnli-luke-japanese-base-lite
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & para... | 2,998 | [
[
-0.01415252685546875,
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... |
MarkrAI/kyujin-Poly-platypus-ko-12.8b | 2023-10-19T13:32:01.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"ko",
"dataset:kyujinpy/KOpen-platypus",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | MarkrAI | null | null | MarkrAI/kyujin-Poly-platypus-ko-12.8b | 2 | 1,468 | transformers | 2023-09-30T13:28:32 | ---
language:
- ko
datasets:
- kyujinpy/KOpen-platypus
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`.**
# **Poly-platypus-ko**
**Polyglot-ko + KO-platypus2 = ... | 6,263 | [
[
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0.01734... |
Undi95/Xwin-MLewd-13B-V0.2 | 2023-10-15T17:25:21.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Undi95 | null | null | Undi95/Xwin-MLewd-13B-V0.2 | 30 | 1,468 | transformers | 2023-10-14T21:15:56 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
THIS MODEL IS MADE FOR LEWD
SEXUAL, CRUDE AND KINKY CONTENT IN OUTPUT CAN AND WILL HAPPEN. YOU'RE WARNED
This is MLewd merged wit... | 1,954 | [
[
-0.040618896484375,
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0.0282745361328125,
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0.01084136962890625,
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0.056365966796875,
-0.0738525390625,
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-0.05230712890625,
-0.0... |
cardiffnlp/twitter-roberta-base-2021-124m | 2022-10-10T18:42:02.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"timelms",
"twitter",
"en",
"dataset:twitter-api",
"arxiv:2202.03829",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | cardiffnlp | null | null | cardiffnlp/twitter-roberta-base-2021-124m | 3 | 1,467 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- timelms
- twitter
license: mit
datasets:
- twitter-api
---
# Twitter 2021 124M (RoBERTa-base)
This is a RoBERTa-base model trained on 123.86M tweets until the end of 2021.
More details and performance scores are available in the [TimeLMs paper](https://arxiv.org/abs/2202.03829).
Below, we pr... | 4,723 | [
[
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0.0005731582641601562,
-0.03729248046875,
-0.045135498046875,
-0.058074951171875,
0.010688781... |
stockmark/stockmark-13b | 2023-10-28T11:19:54.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"japanese",
"llama-2",
"ja",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | stockmark | null | null | stockmark/stockmark-13b | 26 | 1,467 | transformers | 2023-10-21T06:53:06 | ---
license: mit
language:
- ja
library_name: transformers
pipeline_tag: text-generation
tags:
- japanese
- llama-2
---
# stockmark/stockmark-13b
Stockmark-13b is a 13 billion parameter LLM pretrained from scratch based on Japanese corpus of about 220B tokens. This model is developed by [Stockmark Inc.](https://stock... | 2,342 | [
[
-0.039306640625,
-0.044158935546875,
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-0.01021575927734375,
-0.024383544921875,
0.0139923095703125,
0.022735595703125,
-0.04241943359375,
-0.056640625,
-0.056243896484375,
-0.00112... |
facebook/nllb-moe-54b | 2023-09-04T21:10:50.000Z | [
"transformers",
"pytorch",
"nllb-moe",
"feature-extraction",
"translation",
"ace",
"acm",
"acq",
"aeb",
"af",
"ajp",
"ak",
"als",
"am",
"apc",
"ar",
"ars",
"ary",
"arz",
"as",
"ast",
"awa",
"ayr",
"azb",
"azj",
"ba",
"bm",
"ban",
"be",
"bem",
"bn",
"bho"... | translation | facebook | null | null | facebook/nllb-moe-54b | 62 | 1,465 | transformers | 2023-03-16T14:12:22 | ---
language:
- ace
- acm
- acq
- aeb
- af
- ajp
- ak
- als
- am
- apc
- ar
- ars
- ary
- arz
- as
- ast
- awa
- ayr
- azb
- azj
- ba
- bm
- ban
- be
- bem
- bn
- bho
- bjn
- bo
- bs
- bug
- bg
- ca
- ceb
- cs
- cjk
- ckb
- crh
- cy
- da
- de
- dik
- dyu
- dz
- el
- en
- eo
- et
- eu
- ee
- fo
- fj
- fi
- fon
- fr
- fu... | 8,380 | [
[
-0.01959228515625,
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... |
thibaud/controlnet-sd21-openposev2-diffusers | 2023-08-14T07:43:52.000Z | [
"diffusers",
"art",
"stable diffusion",
"controlnet",
"en",
"license:other",
"diffusers:ControlNetModel",
"region:us"
] | null | thibaud | null | null | thibaud/controlnet-sd21-openposev2-diffusers | 2 | 1,465 | diffusers | 2023-04-08T18:53:05 | ---
license: other
language:
- en
tags:
- art
- diffusers
- stable diffusion
- controlnet
---
Here's the first version of controlnet for stablediffusion 2.1 for diffusers
Trained on a subset of laion/laion-art
License: refers to the different preprocessor's ones.
### OpenPose v2:
![<color> 0](https://huggingface.co/... | 923 | [
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... |
alan-turing-institute/mt5-large-finetuned-mnli-xtreme-xnli | 2023-05-16T11:12:48.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"mt5",
"text2text-generation",
"multilingual",
"en",
"fr",
"es",
"de",
"el",
"bg",
"ru",
"tr",
"ar",
"vi",
"th",
"zh",
"hi",
"sw",
"ur",
"dataset:multi_nli",
"dataset:xnli",
"arxiv:2010.11934",
"license:apache-2.0",
... | text2text-generation | alan-turing-institute | null | null | alan-turing-institute/mt5-large-finetuned-mnli-xtreme-xnli | 11 | 1,464 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- en
- fr
- es
- de
- el
- bg
- ru
- tr
- ar
- vi
- th
- zh
- hi
- sw
- ur
tags:
- pytorch
license: apache-2.0
datasets:
- multi_nli
- xnli
metrics:
- xnli
---
# mt5-large-finetuned-mnli-xtreme-xnli
## Model Description
This model takes a pretrained large [multilingual-t5](https://git... | 7,028 | [
[
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0.02105712890625,
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-0.0592041015625,
-0.04925537109375,
0.0187530... |
42MARU/llama-2-ko-7b-instruct | 2023-09-29T09:38:03.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"instruct",
"instruction",
"ko",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 42MARU | null | null | 42MARU/llama-2-ko-7b-instruct | 3 | 1,463 | transformers | 2023-09-29T09:18:11 | ---
language:
- ko
tags:
- llama-2
- instruct
- instruction
pipeline_tag: text-generation
---
# llama-2-ko-7b-instruct
### Model Details
- Developed by: [42MARU](https://www.42maru.ai/en/)
- Backbone Model: [llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b)
- Library: [transformers](https://github.com/huggin... | 1,012 | [
[
-0.03338623046875,
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0.... |
kyujinpy/Korean-OpenOrca-13B | 2023-10-19T13:30:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"dataset:kyujinpy/OpenOrca-KO",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | kyujinpy | null | null | kyujinpy/Korean-OpenOrca-13B | 2 | 1,463 | transformers | 2023-10-08T19:07:11 | ---
language:
- ko
datasets:
- kyujinpy/OpenOrca-KO
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`.**
# **🐳Korean-OpenOrca-13B🐳**
## Model Details
**Model... | 2,350 | [
[
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-0.... |
rinna/japanese-gpt-neox-3.6b-instruction-sft | 2023-06-15T14:30:48.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"ja",
"lm",
"nlp",
"dataset:Anthropic/hh-rlhf",
"dataset:stanfordnlp/SHP",
"license:mit",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/japanese-gpt-neox-3.6b-instruction-sft | 93 | 1,462 | transformers | 2023-05-17T02:16:28 | ---
language: ja
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
tags:
- ja
- gpt_neox
- text-generation
- lm
- nlp
license: mit
datasets:
- Anthropic/hh-rlhf
- stanfordnlp/SHP
inference: false
---
# japanese-gpt-neox-3.6b-instruction-sft
# Overview
T... | 5,511 | [
[
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0.0221099853515625... |
deepghs/animefull-latest | 2023-07-18T15:34:18.000Z | [
"diffusers",
"text-to-image",
"license:mit",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | deepghs | null | null | deepghs/animefull-latest | 2 | 1,461 | diffusers | 2023-07-18T07:24:09 | ---
license: mit
pipeline_tag: text-to-image
---
The diffusers version of the officially leaked models from NovelAI.
The original version can be found at [deepghs/animefull-latest-ckpt](https://huggingface.co/deepghs/animefull-latest-ckpt).
| 245 | [
[
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0.026885986328125,
0.048187255859375,
-0.051300048828125,
0.013946533203125,
-0.00856781005859375,
... |
THUDM/chatglm3-6b-base | 2023-10-31T10:23:11.000Z | [
"transformers",
"pytorch",
"chatglm",
"glm",
"thudm",
"custom_code",
"zh",
"en",
"arxiv:2103.10360",
"arxiv:2210.02414",
"endpoints_compatible",
"region:us"
] | null | THUDM | null | null | THUDM/chatglm3-6b-base | 33 | 1,461 | transformers | 2023-10-26T09:34:43 | ---
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
---
# ChatGLM3-6B-Base
<p align="center">
💻 <a href="https://github.com/THUDM/ChatGLM" target="_blank">Github Repo</a> • 🐦 <a href="https://twitter.com/thukeg" target="_blank">Twitter</a> • 📃 <a href="https://arxiv.org/abs/2103.10360" target="_blank">[GLM@ACL 2... | 5,311 | [
[
-0.030792236328125,
-0.0640869140625,
0.017242431640625,
0.0249176025390625,
-0.0154266357421875,
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-0.0290069580078125,
-0.041259765625,
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0.0201568603515625,
-0.03912353515625,
-0.052825927734375,
-0.039520263671875,
-0... |
alexandrainst/da-sentiment-base | 2023-09-20T11:56:22.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"arxiv:1910.09700",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | alexandrainst | null | null | alexandrainst/da-sentiment-base | 3 | 1,460 | transformers | 2022-03-02T23:29:04 | ---
language:
- da
license: apache-2.0
widget:
- text: Det er super godt
---
# Model Card for Danish BERT
Danish BERT Tone for sentiment polarity detection
# Model Details
## Model Description
The BERT Tone model detects sentiment polarity (positive, neutral or negative) in Danish texts. It has been finetun... | 3,957 | [
[
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-0.042572021484375,
0.0249481201171875,
0.026702880859375,
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-0.019805908203125,
-0.031768798828125,
0.01629638671875,
0.03887939453125,
-0.057464599609375,
-0.06036376953125,
-0.04998779296875,
-0.01019287... |
timm/maxvit_rmlp_tiny_rw_256.sw_in1k | 2023-05-11T00:20:10.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_rmlp_tiny_rw_256.sw_in1k | 0 | 1,460 | timm | 2023-01-20T21:34:39 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_rmlp_tiny_rw_256.sw_in1k
A timm specific MaxViT (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model. Trained in `timm` on I... | 22,316 | [
[
-0.052459716796875,
-0.031829833984375,
0.0017747879028320312,
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-0.023956298828125,
-0.0191802978515625,
-0.011474609375,
-0.0253143310546875,
0.053863525390625,
0.01525115966796875,
-0.042755126953125,
-0.046875,
-0.04669189453125,
-0.004... |
stablediffusionapi/realistic-vision-v20-2047 | 2023-07-18T14:13:31.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/realistic-vision-v20-2047 | 2 | 1,456 | diffusers | 2023-06-12T19:52:00 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Realistic Vision V2.0 API Inference
... | 2,539 | [
[
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0.02423095703125,
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0.04541015625,
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-0.057098388671875,
-0.0298919677734375,
-0.00638... |
ToolBench/ToolLLaMA-2-7b-v2 | 2023-10-02T16:21:44.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | ToolBench | null | null | ToolBench/ToolLLaMA-2-7b-v2 | 9 | 1,456 | transformers | 2023-09-29T15:53:08 | ---
license: llama2
---
# Model Card for Model ID
This is ToolLLaMA-2-7b version model introduced in [ToolBench](https://github.com/OpenBMB/ToolBench).
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **License:** llama2
- **Finetuned from model [optional]:** LLaMA... | 471 | [
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-0.047271728515625,
-0.046173095703125,
-0.03765869140625,
-0.02653... |
microsoft/resnet-152 | 2023-06-26T19:49:50.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"resnet",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1512.03385",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | microsoft | null | null | microsoft/resnet-152 | 4 | 1,453 | transformers | 2022-03-16T14:54:22 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
---
# ResNet-152 v1.5
ResNet model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in the paper [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385) by He et al.
Disclaimer: The team... | 2,665 | [
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-0.043212890625,... |
algiraldohe/lm-ner-linkedin-skills-recognition | 2023-07-07T22:51:06.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | algiraldohe | null | null | algiraldohe/lm-ner-linkedin-skills-recognition | 13 | 1,453 | transformers | 2023-07-07T21:42:41 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: lm-ner-linkedin-skills-recognition
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... | 1,780 | [
[
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nlp-waseda/roberta-base-japanese-with-auto-jumanpp | 2022-10-21T01:57:40.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | nlp-waseda | null | null | nlp-waseda/roberta-base-japanese-with-auto-jumanpp | 4 | 1,452 | transformers | 2022-10-15T05:09:36 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
mask_token: "[MASK]"
widget:
- text: "早稲田大学で自然言語処理を[MASK]する。"
---
# nlp-waseda/roberta-base-japanese-with-auto-jumanpp
## Model description
This is a Japanese RoBERTa base model pretrained on Japanese Wikipedia and the Japanese portion of CC-100.
... | 2,323 | [
[
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-0.0506591796875,
0.0050735473632812... |
Trofish/KULLM-RLHF | 2023-10-01T06:19:28.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"arxiv:2303.16634",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Trofish | null | null | Trofish/KULLM-RLHF | 2 | 1,452 | transformers | 2023-08-28T11:21:32 | 2023 성균관대 하계집중 산학협력프로젝트 VAIV
### Github : https://github.com/VAIV-2023/RLHF-Korean-Friendly-LLM
## GPT 기반의 자연스럽고(Friendly) 윤리적인(Harmless) 일상 대화형 챗봇 모델
# 과제 목표
GPT-NEOX 기반 자연스럽고 윤리적인 한국어 기반 일상 대화형 챗봇 모델 구현
- Self-Instruct: GPT4를 이용한 데이터 증강
- RLHF(Reinforcement Learning from Human Feedback): 사람의 선호도를 반영한 강화학습
- Dee... | 5,673 | [
[
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0.0279388427734375,
0.0141448974609375,
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-0.0296783447265625,
-0.03607177734375,
0... |
EarthnDusk/havoc-and-disorder | 2023-05-29T09:23:40.000Z | [
"diffusers",
"stable diffusion",
"anime",
"finetune",
"text-to-image",
"en",
"dataset:Nerfgun3/bad_prompt",
"dataset:gsdf/EasyNegative",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | EarthnDusk | null | null | EarthnDusk/havoc-and-disorder | 1 | 1,451 | diffusers | 2023-05-28T05:16:55 | ---
license: creativeml-openrail-m
datasets:
- Nerfgun3/bad_prompt
- gsdf/EasyNegative
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable diffusion
- anime
- finetune
---
# Havoc and Disorder
---
EXTREMELY OPINIONATED FLAPPY FLAPPY MOTH THAT LOVES LAMPS LIVES IN THIS MODEL WE SWEAR!
UPD... | 1,442 | [
[
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0.033203125,
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-0.0189971923828125,
-0.0076408386230468... |
timm/convnext_xlarge.fb_in22k_ft_in1k_384 | 2023-03-31T22:49:52.000Z | [
"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_xlarge.fb_in22k_ft_in1k_384 | 0 | 1,450 | timm | 2022-12-13T07:19:21 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_xlarge.fb_in22k_ft_in1k_384
A ConvNeXt image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model T... | 15,744 | [
[
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0.03759765625,
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0.064208984375,
0.0174560546875,
-0.0439453125,
-0.0421142578125,
-0.050689697265625,
-0.002922058105468... |
kazzand/ru-longformer-tiny-16384 | 2023-11-02T12:00:30.000Z | [
"transformers",
"pytorch",
"longformer",
"fill-mask",
"ru",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | kazzand | null | null | kazzand/ru-longformer-tiny-16384 | 13 | 1,450 | transformers | 2023-07-12T12:07:43 | ---
language:
- ru
- en
---
This is a tiny Longformer model designed for Russian language. It was initialized from [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) weights and has been modified to support a context length of up to 16384 tokens.
We fine-tuned it on a dataset of Russian book... | 1,655 | [
[
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0.0250091552734375,
-0.036529541015625,
-0.020172119140625,
-0.0435791015625,
... |
JasperLS/gelectra-base-injection | 2023-05-08T14:33:47.000Z | [
"transformers",
"pytorch",
"tensorboard",
"electra",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | JasperLS | null | null | JasperLS/gelectra-base-injection | 2 | 1,449 | transformers | 2023-05-08T14:32:41 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: gelectra-base-injection
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... | 1,399 | [
[
-0.0222625732421875,
-0.048370361328125,
0.0173492431640625,
-0.00799560546875,
-0.01861572265625,
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0.038116455078125,
-0.03314208984375,
-0.06353759765625,
-0.044769287109375,
-0.01... |
TheBloke/PMC_LLAMA-7B-GPTQ | 2023-08-21T10:25:52.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"medical",
"dataset:allenai/s2orc",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/PMC_LLAMA-7B-GPTQ | 4 | 1,449 | transformers | 2023-06-03T00:46:05 | ---
datasets:
- allenai/s2orc
inference: false
license: other
model_type: llama
tags:
- medical
---
<!-- 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; ma... | 11,699 | [
[
-0.03570556640625,
-0.06622314453125,
0.020172119140625,
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-0.027435302734375,
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0.006237030029296875,
-0.0254669189453125,
0.0074920654296875,
0.02105712890625,
-0.03887939453125,
-0.035491943359375,
-0.028106689453125,
... |
sentence-transformers/msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned | 2022-06-15T22:19:18.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned | 4 | 1,448 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & par... | 3,864 | [
[
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-0.056610107421875,
0.019500732421875,
0.033294677734375,
-0.020294189453125,
-0.02423095703125,
-0.02838134765625,
-0.00439453125,
0.01277923583984375,
0.019195556640625,
-0.044342041015625,
-0.0347900390625,
-0.056640625,
0.01597595214... |
Nara-Lab/nallm-bart | 2023-06-30T09:13:16.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"ko",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | Nara-Lab | null | null | Nara-Lab/nallm-bart | 2 | 1,448 | transformers | 2023-06-28T05:28:44 | ---
license: apache-2.0
language:
- ko
---
NA-LLM(나름)은 나라지식정보가 개발한 한국어 Large Language Model (LLM) 입니다.
https://github.com/Nara-Information/NA-LLM | 145 | [
[
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0.057586669921875,
0.04144287109375,
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-0.061981201171875,
-0.0189056396484375,
... |
textattack/roberta-base-MRPC | 2021-05-20T22:07:47.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/roberta-base-MRPC | 0 | 1,447 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model Card
This `roberta-base` model was fine-tuned for sequence classification using TextAttack
and the glue dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 16, a learning
rate of 3e-05, and a maximum sequence length of 256.
Since this was a classifi... | 618 | [
[
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0.0246429443359375,
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0.0008907318115234375,
-0.01336669921875,
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0.02227783203125,
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-0.05291748046875,
-0.05096435546875,
... |
s3nh/artwork-arcane-stable-diffusion | 2023-05-05T11:22:16.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | s3nh | null | null | s3nh/artwork-arcane-stable-diffusion | 15 | 1,447 | diffusers | 2022-11-07T14:59:20 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
---
Buy me a coffee if you like this project ;)
<a href="https://www.buymeacoffee.com/s3nh"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a>
### Arcane based Artwork Diffusion Model
I present... | 2,801 | [
[
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0.025970458984375,
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0.0537109375,
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-0.037506103515625,
-0.05029296875,
-0.011238098144... |
cardiffnlp/twitter-roberta-base-2022-154m | 2023-08-31T03:06:34.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"timelms",
"twitter",
"en",
"dataset:twitter-api",
"arxiv:2202.03829",
"arxiv:2308.02142",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | cardiffnlp | null | null | cardiffnlp/twitter-roberta-base-2022-154m | 5 | 1,447 | transformers | 2023-03-08T11:15:09 | ---
language: en
tags:
- timelms
- twitter
license: mit
datasets:
- twitter-api
---
# Twitter 2022 154M (RoBERTa-base, 154M - full update)
This is a RoBERTa-base model trained on 154M tweets until the end of December 2022 (from original checkpoint, no incremental updates).
A large model trained on the same data is a... | 5,565 | [
[
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0.0161590576171875,
0.0212860107421875,
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0.010101318359375,
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0.020782470703125,
0.0007457733154296875,
-0.038177490234375,
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... |
openai/imagegpt-medium | 2023-06-12T11:16:08.000Z | [
"transformers",
"pytorch",
"imagegpt",
"vision",
"dataset:imagenet-21k",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | openai | null | null | openai/imagegpt-medium | 4 | 1,446 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
datasets:
- imagenet-21k
---
# ImageGPT (medium-sized model)
ImageGPT (iGPT) model pre-trained on ImageNet ILSVRC 2012 (14 million images, 21,843 classes) at resolution 32x32. It was introduced in the paper [Generative Pretraining from Pixels](https://cdn.openai.com/papers/Gene... | 4,634 | [
[
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-0.016082763671875,
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-0.00319671630859375,
0.0152130126953125,
-0.032135009765625,
-0.03173828125,
-0.04541015625,
-0... |
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