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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DucHaiten/DucHaitenJourney | 2023-06-15T12:58:48.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"image-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | DucHaiten | null | null | DucHaiten/DucHaitenJourney | 8 | 3,377 | diffusers | 2023-03-12T16:01:27 | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
- image-to-image
- diffusers
license: creativeml-openrail-m
inference: true
---
DPM++ 2S a Karras cfg 10
will be better in large resolution 768x768, 512x512 will be poor quality
negative prompt:
illustration, painting, cartoons, sketch, (worst quality:2), ... | 754 | [
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0.021469116... |
wissamantoun/araelectra-base-artydiqa | 2023-03-20T13:06:59.000Z | [
"transformers",
"pytorch",
"safetensors",
"electra",
"question-answering",
"ar",
"dataset:tydiqa",
"arxiv:2012.15516",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | wissamantoun | null | null | wissamantoun/araelectra-base-artydiqa | 8 | 3,376 | transformers | 2022-03-02T23:29:05 | ---
language: ar
datasets:
- tydiqa
widget:
- text: "ما هو نظام الحكم في لبنان؟"
context: "لبنان أو (رسميا: الجمهورية اللبنانية)، هي دولة عربية واقعة في الشرق الأوسط في غرب القارة الآسيوية. تحدها سوريا من الشمال و الشرق، و فلسطين المحتلة - إسرائيل من الجنوب، وتطل من جهة الغرب على البحر الأبيض المتوسط. هو بلد ديمقراطي... | 4,392 | [
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0.01786... |
microsoft/tapex-large-finetuned-wtq | 2023-03-14T11:51:54.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"tapex",
"table-question-answering",
"en",
"dataset:wikitablequestions",
"arxiv:2107.07653",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | table-question-answering | microsoft | null | null | microsoft/tapex-large-finetuned-wtq | 31 | 3,374 | transformers | 2022-03-10T05:06:08 | ---
language: en
tags:
- tapex
- table-question-answering
datasets:
- wikitablequestions
license: mit
---
# TAPEX (large-sized model)
TAPEX was proposed in [TAPEX: Table Pre-training via Learning a Neural SQL Executor](https://arxiv.org/abs/2107.07653) by Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weiz... | 3,197 | [
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0.03662109375,
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-0.0... |
timm/vit_base_patch16_224.augreg_in1k | 2023-05-06T00:00:30.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_224.augreg_in1k | 1 | 3,372 | timm | 2022-12-22T07:24:52 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_base_patch16_224.augreg_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-1k (with additional augmentation and regularization) in JAX by paper authors, ported to... | 3,796 | [
[
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-0.0207977294921875,
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0.0141754150390625,
0.0246124267578125,
-0.04144287109375,
-0.038238525390625,
-0.047760009765625... |
textattack/bert-base-uncased-yelp-polarity | 2021-05-20T07:49:07.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | textattack | null | null | textattack/bert-base-uncased-yelp-polarity | 2 | 3,371 | transformers | 2022-03-02T23:29:05 | ## TextAttack Model Card
This `bert-base-uncased` model was fine-tuned for sequence classification using TextAttack
and the yelp_polarity dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 16, a learning
rate of 5e-05, and a maximum sequence length of 256.
Since this ... | 632 | [
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0.0294036865234375,
-0.043243408203125,
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-0.036346435546875,... |
timm/maxvit_base_tf_384.in1k | 2023-05-10T23:55:57.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_base_tf_384.in1k | 1 | 3,367 | timm | 2022-12-02T21:48:32 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_base_tf_384.in1k
An official MaxViT image classification model. Trained in tensorflow on ImageNet-1k by paper authors.
Ported from official Tensorflow implementation (https://github.com/go... | 22,110 | [
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-0.... |
deepmind/vision-perceiver-conv | 2021-12-11T13:12:42.000Z | [
"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-conv | 5 | 3,359 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
datasets:
- imagenet
---
# Perceiver IO for vision (convolutional processing)
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](https:/... | 4,989 | [
[
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-0.0042266845703125,
-0.06121826171875,
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0.0115203857421875,
-0.0345458984375,
-0.0175018310546875,
-0.04718017578125,
-0.00... |
DucHaiten/DucHaitenDreamWorld | 2023-03-28T15:19:02.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"image-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | DucHaiten | null | null | DucHaiten/DucHaitenDreamWorld | 24 | 3,358 | diffusers | 2023-02-06T16:26:07 | ---
license: creativeml-openrail-m
language:
- en
tags:
- stable-diffusion
- text-to-image
- image-to-image
- diffusers
inference: true
---
After many days of not eating well, sleeping 4 hours at night. Finally, version 2.4.1 of the DucHaitenDreamWorld model is also completed, it will be a huge improvement, just lookin... | 3,380 | [
[
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0.06298828125,
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-0.02972412109375,
-0.047210693359375,
0.0109710693359... |
setu4993/LEALLA-small | 2023-10-19T06:22:00.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"feature-extraction",
"sentence_embedding",
"multilingual",
"google",
"sentence-similarity",
"lealla",
"labse",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"bo",
"bs",
"ca",
"ceb",
"co",
"cs",
"c... | sentence-similarity | setu4993 | null | null | setu4993/LEALLA-small | 3 | 3,357 | transformers | 2023-05-21T08:17:47 | ---
pipeline_tag: sentence-similarity
language:
- af
- am
- ar
- as
- az
- be
- bg
- bn
- bo
- bs
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- he
- hi
- hmn
- hr
- ht
-... | 5,554 | [
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... |
asahi417/tner-xlm-roberta-base-ontonotes5 | 2022-11-04T03:24:37.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"en",
"arxiv:2209.12616",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | asahi417 | null | null | asahi417/tner-xlm-roberta-base-ontonotes5 | 3 | 3,352 | transformers | 2022-03-02T23:29:05 |
---
language:
- en
---
# Model Card for XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER.
# Model Details
## Model Description
XLM-RoBERTa finetuned on NER.
- **Developed by:** Asahi Ushio
- **Shared by [Optional]:** Hugging Face
- **Model type:** Token Classification
- **Language(s) (NLP):** en
- **License:**... | 5,189 | [
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0.... |
IDEA-CCNL/Taiyi-CLIP-Roberta-102M-Chinese | 2023-05-25T09:44:14.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"clip",
"zh",
"image-text",
"feature-extraction",
"arxiv:2209.02970",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | IDEA-CCNL | null | null | IDEA-CCNL/Taiyi-CLIP-Roberta-102M-Chinese | 45 | 3,349 | transformers | 2022-07-09T07:11:05 | ---
license: apache-2.0
# inference: false
# pipeline_tag: zero-shot-image-classification
pipeline_tag: feature-extraction
# inference:
# parameters:
tags:
- clip
- zh
- image-text
- feature-extraction
---
# Taiyi-CLIP-Roberta-102M-Chinese
- Main Page:[Fengshenbang](https://fengshenbang-lm.com/)
- Github: [Fengshe... | 5,287 | [
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0.0118255615234375,
-0.040008544921875,
-0.042572021484375,
-0.043701171875,
0.003... |
digiplay/RunDiffusionFXPhotorealistic_v1 | 2023-10-20T02:46:45.000Z | [
"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/RunDiffusionFXPhotorealistic_v1 | 8 | 3,347 | diffusers | 2023-06-04T16:02:01 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Realistic like text-to-image model,
pretty good and very stable.
Model info :
https://civitai.com/models/82972/rundiffusion-fx-photorealistic
Original Author's DEMO images :
![](https://image.ci... | 676 | [
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artificialguybr/StickersRedmond | 2023-09-12T06:21:30.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/StickersRedmond | 10 | 3,346 | diffusers | 2023-09-12T06:16:10 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Stickers, sticker
widget:
- text: Stickers, sticker
---
# Stickers.Redmond
Stickers.Redmond is here!
Introducing Sticker... | 1,076 | [
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EleutherAI/pythia-160m-v0 | 2023-07-09T16:03:26.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"pythia_v0",
"en",
"dataset:the_pile",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/pythia-160m-v0 | 7 | 3,342 | transformers | 2022-10-16T17:40:11 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
- pythia_v0
license: apache-2.0
datasets:
- the_pile
---
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, 2.8B, 6.9B, and 12B. For ea... | 11,782 | [
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cyberagent/open-calm-small | 2023-05-18T01:10:33.000Z | [
"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-small | 15 | 3,342 | transformers | 2023-05-15T06:40:15 | ---
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
- mc4
language:
- ja
tags:
- japanese
- causal-lm
inference: false
---
# OpenCALM-Small
## Model Description
OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by CyberAgent, Inc.
## Usage
```python
import torch
fro... | 3,375 | [
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cross-encoder/qnli-electra-base | 2021-08-05T08:41:23.000Z | [
"transformers",
"pytorch",
"electra",
"text-classification",
"arxiv:1804.07461",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | cross-encoder | null | null | cross-encoder/qnli-electra-base | 1 | 3,339 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
# Cross-Encoder for Quora Duplicate Questions Detection
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
## Training Data
Given a question and paragraph, can the question be a... | 1,996 | [
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zohaib99k/Bert_Arabic-SQuADv2-QA | 2023-05-04T07:42:02.000Z | [
"transformers",
"pytorch",
"electra",
"question-answering",
"ar",
"dataset:ZeyadAhmed/Arabic-SQuADv2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | zohaib99k | null | null | zohaib99k/Bert_Arabic-SQuADv2-QA | 0 | 3,336 | transformers | 2023-05-04T07:37:13 | ---
datasets:
- ZeyadAhmed/Arabic-SQuADv2.0
language:
- ar
metrics:
-
name: exact_match
type: exact_match
value: 65.12
-
name: F1
type: f1
value: 71.49
---
# AraElectra for Question Answering on Arabic-SQuADv2
This is the [AraElectra](https://huggingface.co/aubmindlab/araelectra-... | 3,760 | [
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-0.038482666015625,
-0.0377197265625,
-0.03631591796875,
... |
algolet/mt5-base-chinese-qg | 2022-03-03T02:18:05.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | algolet | null | null | algolet/mt5-base-chinese-qg | 11 | 3,332 | transformers | 2022-03-02T23:29:05 | <h3 align="center">
<p>MT5 Base Model for Chinese Question Generation</p>
</h3>
<h3 align="center">
<p>基于mt5的中文问题生成任务</p>
</h3>
#### 可以通过安装question-generation包开始用
```
pip install question-generation
```
使用方法请参考github项目：https://github.com/algolet/question_generation
#### 在线使用
可以直接在线使用我们的模型：https://www.algolet.... | 1,563 | [
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geolocal/StreetCLIP | 2023-09-13T00:03:57.000Z | [
"transformers",
"pytorch",
"clip",
"zero-shot-image-classification",
"geolocalization",
"geolocation",
"geographic",
"street",
"climate",
"urban",
"rural",
"multi-modal",
"geoguessr",
"en",
"arxiv:2302.00275",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:u... | zero-shot-image-classification | geolocal | null | null | geolocal/StreetCLIP | 21 | 3,327 | transformers | 2023-01-26T18:16:02 | ---
license: cc-by-nc-4.0
language:
- en
pipeline_tag: zero-shot-image-classification
widget:
- src: https://huggingface.co/geolocal/StreetCLIP/resolve/main/nagasaki.jpg
candidate_labels: China, South Korea, Japan, Phillipines, Taiwan, Vietnam, Cambodia
example_title: Countries
- src: https://huggingface.co/geoloc... | 8,858 | [
[
-0.046630859375,
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0.0194549560546875,
-0.036468505859375,
-0.06353759765625,
-0.05474853515625,
-0.010... |
healx/gpt-2-pubmed-medium | 2020-12-11T21:43:41.000Z | [
"transformers",
"pytorch",
"arxiv:2004.13845",
"endpoints_compatible",
"region:us"
] | null | healx | null | null | healx/gpt-2-pubmed-medium | 2 | 3,325 | transformers | 2022-03-02T23:29:05 | GPT-2 (355M model) finetuned on 0.5m PubMed abstracts. Used in the [writemeanabstract.com](writemeanabstract.com) and the following preprint:
[Papanikolaou, Yannis, and Andrea Pierleoni. "DARE: Data Augmented Relation Extraction with GPT-2." arXiv preprint arXiv:2004.13845 (2020).](https://arxiv.org/abs/2004.13845)
| 318 | [
[
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-0.0360107421875,
0.00061655... |
consciousAI/cai-lunaris-text-embeddings | 2023-06-22T21:33:52.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"mteb",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | sentence-similarity | consciousAI | null | null | consciousAI/cai-lunaris-text-embeddings | 0 | 3,324 | sentence-transformers | 2023-06-22T18:08:54 | ---
license: apache-2.0
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- mteb
model-index:
- name: cai-lunaris-text-embeddings
results:
- task:
type: Retrieval
dataset:
type: arguana
name: MTEB ArguAna
config: def... | 35,450 | [
[
-0.0220489501953125,
-0.053253173828125,
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-... |
JosephusCheung/Qwen-LLaMAfied-7B-Chat | 2023-10-22T18:39:39.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"qwen",
"llama-2",
"en",
"zh",
"license:gpl-3.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | JosephusCheung | null | null | JosephusCheung/Qwen-LLaMAfied-7B-Chat | 99 | 3,321 | transformers | 2023-08-04T08:43:39 | ---
language:
- en
- zh
tags:
- qwen
- llama
- llama-2
license: gpl-3.0
---
NEW VERSIONS: [https://huggingface.co/CausalLM/14B](https://huggingface.co/CausalLM/14B)
This is the LLaMAfied replica of [Qwen/Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat) (Original Version before 25.09.2023), recalibrated to fit... | 2,548 | [
[
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0.024139404296875,
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-0.0343017578125,
-0.041473388671875,
0.002... |
Yntec/a-ZovyaRPGArtistV2VAE | 2023-08-03T17:08:46.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Zovya",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/a-ZovyaRPGArtistV2VAE | 0 | 3,320 | diffusers | 2023-08-03T04:39:20 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Zovya
---
# A-Zovya RPG Artist Tools V2 Art
This model with the Color 101 VAE baked in.
Original page:
https://civitai.com/models/8124?modelVers... | 332 | [
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-0.008316040039062... |
cross-encoder/msmarco-MiniLM-L12-en-de-v1 | 2021-08-05T08:40:18.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | cross-encoder | null | null | cross-encoder/msmarco-MiniLM-L12-en-de-v1 | 2 | 3,318 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
# Cross-Encoder for MS MARCO - EN-DE
This is a cross-lingual Cross-Encoder model for EN-DE that can be used for passage re-ranking. It was trained on the [MS Marco Passage Ranking](https://github.com/microsoft/MSMARCO-Passage-Ranking) task.
The model can be used for Information Retrieval: ... | 4,796 | [
[
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0.01076507568359375,
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-0.06475830078125,
-0.058135986328125,
0.023... |
Yntec/level4 | 2023-09-21T03:14:00.000Z | [
"diffusers",
"Photorealistic",
"Beautiful",
"Fantasy",
"AreThoseLevel4Plates",
"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/level4 | 0 | 3,314 | diffusers | 2023-09-20T22:17:37 | ---
library_name: diffusers
pipeline_tag: text-to-image
license: creativeml-openrail-m
tags:
- Photorealistic
- Beautiful
- Fantasy
- AreThoseLevel4Plates
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# level 4 v3
Original page: https://civitai.com/models/17449?modelVersionId=21896
... | 767 | [
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bert-large-cased-whole-word-masking-finetuned-squad | 2023-04-06T13:42:06.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | null | null | null | bert-large-cased-whole-word-masking-finetuned-squad | 1 | 3,310 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT large model (cased) whole word masking finetuned on SQuAD
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
... | 6,119 | [
[
-0.038299560546875,
-0.060089111328125,
0.01715087890625,
0.0249481201171875,
-0.0270233154296875,
-0.0017652511596679688,
-0.0220184326171875,
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0.0190887451171875,
0.039306640625,
-0.06341552734375,
-0.026123046875,
-0.04345703125,
0.00862... |
vaddagonivyshnavi/my-pet-cat | 2023-11-03T11:06:05.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | vaddagonivyshnavi | null | null | vaddagonivyshnavi/my-pet-cat | 0 | 3,308 | diffusers | 2023-11-03T11:00:56 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-cat Dreambooth model trained by vaddagonivyshnavi following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MRCEW-235
Sample pictures of this concept:
![0](https://huggi... | 406 | [
[
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0.0275726318359375,
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0.060791015625,
0.040679931640625,
-0.04443359375,
-0.00656890869140625,
-0.00893402099609375,
0.017... |
Lykon/dreamshaper-8-inpainting | 2023-08-26T16:47:22.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"inpainting",
"art",
"artistic",
"anime",
"dreamshaper",
"en",
"license:creativeml-openrail-m",
"diffusers:StableDiffusionInpaintPipeline",
"region:us"
] | null | Lykon | null | null | Lykon/dreamshaper-8-inpainting | 3 | 3,307 | diffusers | 2023-08-26T16:47:21 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- inpainting
- art
- artistic
- diffusers
- anime
- dreamshaper
duplicated_from: lykon-models/dreamshaper-8-inpainting
---
# Dreamshaper 8 inpainting
`lykon-models/dreamshaper-8-inpainting` is a Stable Diffusion In... | 2,762 | [
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diffusers/ddpm_dummy | 2023-02-08T12:31:14.000Z | [
"transformers",
"hf_diffuse",
"endpoints_compatible",
"has_space",
"region:us"
] | null | diffusers | null | null | diffusers/ddpm_dummy | 0 | 3,305 | transformers | 2022-05-31T12:37:35 | ---
tags:
- hf_diffuse
---
# Dummy diffusion model following architecture of https://github.com/lucidrains/denoising-diffusion-pytorch
Run the model as follows:
```python
from diffusers import UNetModel, GaussianDiffusion
import torch
# 1. Load model
unet = UNetModel.from_pretrained("fusing/ddpm_dummy")
# 2. Do on... | 730 | [
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-0.... |
facebook/mms-1b | 2023-06-05T10:23:40.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"pretraining",
"mms",
"ab",
"af",
"ak",
"am",
"ar",
"as",
"av",
"ay",
"az",
"ba",
"bm",
"be",
"bn",
"bi",
"bo",
"sh",
"br",
"bg",
"ca",
"cs",
"ce",
"cv",
"ku",
"cy",
"da",
"de",
"dv",
"dz",
"el",
"en",
"eo",... | null | facebook | null | null | facebook/mms-1b | 22 | 3,303 | transformers | 2023-05-22T19:39:11 | ---
tags:
- mms
language:
- ab
- af
- ak
- am
- ar
- as
- av
- ay
- az
- ba
- bm
- be
- bn
- bi
- bo
- sh
- br
- bg
- ca
- cs
- ce
- cv
- ku
- cy
- da
- de
- dv
- dz
- el
- en
- eo
- et
- eu
- ee
- fo
- fa
- fj
- fi
- fr
- fy
- ff
- ga
- gl
- gn
- gu
- zh
- ht
- ha
- he
- hi
- sh
- hu
- hy
- ig
- ia
- ms
- is
- it
- jv... | 3,166 | [
[
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0.0311431884765625,
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0.00420379638671875,
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0.0159454345703125,
0.0240020751953125,
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... |
tomaarsen/span-marker-bert-tiny-conll03 | 2023-09-12T19:49:56.000Z | [
"span-marker",
"pytorch",
"safetensors",
"token-classification",
"ner",
"named-entity-recognition",
"en",
"dataset:conll2003",
"license:apache-2.0",
"model-index",
"region:us"
] | token-classification | tomaarsen | null | null | tomaarsen/span-marker-bert-tiny-conll03 | 1 | 3,300 | span-marker | 2023-04-05T07:45:11 | ---
language:
- en
license: apache-2.0
library_name: span-marker
tags:
- span-marker
- token-classification
- ner
- named-entity-recognition
datasets:
- conll2003
metrics:
- f1
- recall
- precision
pipeline_tag: token-classification
widget:
- text: Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlan... | 1,966 | [
[
-0.0300140380859375,
-0.048370361328125,
0.0311126708984375,
0.0194091796875,
-0.0251922607421875,
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-0.008209228515625,
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0.02490234375,
0.0197296142578125,
-0.04608154296875,
-0.0195159912109375,
-0.040740966796875,
0.0... |
Sukumarachari2580/my-fav-bird | 2023-11-04T04:37:33.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Sukumarachari2580 | null | null | Sukumarachari2580/my-fav-bird | 0 | 3,298 | diffusers | 2023-11-04T04:30:42 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-fav-bird Dreambooth model trained by Sukumarachari2580 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: CVR-142
Sample pictures of this concept:
![0](ht... | 829 | [
[
-0.05523681640625,
-0.018768310546875,
-0.0011968612670898438,
0.017730712890625,
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0.023... |
Yntec/DreamWorld | 2023-10-15T07:11:12.000Z | [
"diffusers",
"Anime",
"Disney",
"Pixar",
"DucHaiten",
"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/DreamWorld | 1 | 3,296 | diffusers | 2023-10-15T05:20:19 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Disney
- Pixar
- DucHaiten
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# DucHaitenDreamWorld v1.3
No-ema version of this model.
If you like this content, support DucHaiten at: ht... | 915 | [
[
-0.04156494140625,
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0.0065155... |
timm/beitv2_base_patch16_224.in1k_ft_in22k | 2023-05-08T23:34:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-22k",
"arxiv:2208.06366",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/beitv2_base_patch16_224.in1k_ft_in22k | 0 | 3,294 | timm | 2022-12-23T02:33:15 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-22k
---
# Model card for beitv2_base_patch16_224.in1k_ft_in22k
A BEiT-v2 image classification model. Trained on ImageNet-1k with self-supervised masked image modelling (MIM) using a VQ-KD encoder as a visual tokenizer (... | 3,758 | [
[
-0.0307464599609375,
-0.0290679931640625,
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0.01248931884765625,
0.0291290283203125,
-0.0285491943359375,
-0.054534912109375,
-0.055755615234... |
apple/mobilevitv2-1.0-imagenet1k-256 | 2023-07-12T09:27:31.000Z | [
"transformers",
"pytorch",
"mobilevitv2",
"vision",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2206.02680",
"license:other",
"endpoints_compatible",
"region:us"
] | image-classification | apple | null | null | apple/mobilevitv2-1.0-imagenet1k-256 | 3 | 3,291 | transformers | 2023-06-05T14:46:34 | ---
datasets:
- imagenet-1k
library_name: transformers
pipeline_tag: image-classification
license: other
tags:
- vision
- image-classification
---
# MobileViTv2 (mobilevitv2-1.0-imagenet1k-256)
<!-- Provide a quick summary of what the model is/does. -->
MobileViTv2 is the second version of MobileViT. It was proposed ... | 2,583 | [
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-... |
livingbox/incremental-test-02 | 2023-10-30T20:02:18.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | livingbox | null | null | livingbox/incremental-test-02 | 0 | 3,289 | diffusers | 2023-10-30T19:57:20 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Incremental-test-02 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 A11... | 510 | [
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-0.01396942138671875,
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... |
microsoft/BioGPT-Large | 2023-02-05T06:18:14.000Z | [
"transformers",
"pytorch",
"biogpt",
"text-generation",
"medical",
"en",
"dataset:pubmed",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | microsoft | null | null | microsoft/BioGPT-Large | 125 | 3,285 | transformers | 2023-02-03T16:17:26 | ---
license: mit
datasets:
- pubmed
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- medical
widget:
- text: COVID-19 is
inference:
parameters:
max_new_tokens: 50
---
## BioGPT
Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by th... | 3,355 | [
[
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-0.037261962890625,
-0.039642333984375,
-0.0509033203125,
... |
thibaud/controlnet-sd21-hed-diffusers | 2023-08-14T07:45:11.000Z | [
"diffusers",
"art",
"stable diffusion",
"controlnet",
"en",
"license:other",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | null | thibaud | null | null | thibaud/controlnet-sd21-hed-diffusers | 0 | 3,279 | diffusers | 2023-03-09T08:20:15 | ---
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.
### Hed:
![<canny> 0](https://huggingface.co/thibaud/... | 908 | [
[
-0.017242431640625,
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0.055511474609375,
-0.0246734619140625,
-0.03167724609375,
-0.0626220703125,
-0.... |
seyonec/ChemBERTa-zinc-base-v1 | 2021-05-20T20:55:33.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"fill-mask",
"chemistry",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | seyonec | null | null | seyonec/ChemBERTa-zinc-base-v1 | 21 | 3,275 | transformers | 2022-03-02T23:29:05 | ---
tags:
- chemistry
---
# ChemBERTa: Training a BERT-like transformer model for masked language modelling of chemical SMILES strings.
Deep learning for chemistry and materials science remains a novel field with lots of potiential. However, the popularity of transfer learning based methods in areas such as NLP and ... | 2,132 | [
[
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0.019805908203125,
0.0195465087890625,
-0.06201171875,
-0.041534423828125,
-0.04779052734375,
-0.... |
6DammK9/AstolfoMix | 2023-10-22T09:47:39.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"safetensors",
"en",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | 6DammK9 | null | null | 6DammK9/AstolfoMix | 4 | 3,275 | diffusers | 2023-09-12T16:06:52 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- safetensors
inference: true
thumbnail: https://huggingface.co/6DammK9/AstolfoMix/resolve/main/231111-341693176-2688-1536-4-256-20231021050214.jpg
widget:
- text: >-
aesthetic, quality, 1girl, boy... | 11,981 | [
[
-0.0712890625,
-0.037139892578125,
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0.0006480216979980469,
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0.0570068359375,
0.01435089111328125,
-0.058837890625,
-0.04840087890625,
-0.045135498046875,
0.01460266... |
openmmlab/upernet-swin-large | 2023-04-24T09:48:31.000Z | [
"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-large | 0 | 3,270 | transformers | 2023-01-13T14:35:14 | ---
language: en
license: mit
tags:
- vision
- image-segmentation
model_name: openmmlab/upernet-swin-large
---
# UperNet, Swin Transformer large-sized backbone
UperNet framework for semantic segmentation, leveraging a Swin Transformer backbone. UperNet was introduced in the paper [Unified Perceptual Parsing for Scene... | 1,632 | [
[
-0.034088134765625,
-0.0107269287109375,
0.020172119140625,
0.0411376953125,
-0.0161895751953125,
-0.017730712890625,
0.015625,
-0.043487548828125,
0.0234527587890625,
0.0523681640625,
-0.05706787109375,
-0.04010009765625,
-0.032379150390625,
-0.019363403320... |
ai-forever/ruGPT-3.5-13B | 2023-06-14T09:52:09.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"gpt3",
"en",
"ru",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ai-forever | null | null | ai-forever/ruGPT-3.5-13B | 153 | 3,270 | transformers | 2023-05-02T12:53:36 | ---
license: mit
language:
- en
- ru
tags:
- gpt3
- transformers
---
# 🗿 ruGPT-3.5 13B
Language model for Russian. Model has 13B parameters as you can guess from it's name. This is our biggest model so far and it was used for trainig GigaChat (read more about it in the [article](https://habr.com/ru/companies/sberbank... | 3,176 | [
[
-0.0225982666015625,
-0.058319091796875,
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-0.033416748046875,
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0.0100555419921875,
0.0008234977722167969,
-0.0262451171875,
-0.0496826171875,
-0.03936767578... |
MirageML/lowpoly-game-building | 2023-05-05T20:53:17.000Z | [
"diffusers",
"tensorboard",
"safetensors",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | MirageML | null | null | MirageML/lowpoly-game-building | 14 | 3,269 | diffusers | 2022-11-28T08:52:37 | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
inference: true
---
# Low Poly Game Building on Stable Diffusion via Dreambooth
This the Stable Diffusion model fine-tuned the Low Poly Game Building concept taught to Stable Diffusion with Dreambooth.
It can be used by modifyi... | 895 | [
[
-0.0374755859375,
-0.09228515625,
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-0.0024242401123046875,
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0.0230865478515625,
0.04644775390625,
-0.0350341796875,
-0.052337646484375,
-0.0205230712890625,
... |
sanjanach/my-pet-dog | 2023-11-06T09:11:58.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | sanjanach | null | null | sanjanach/my-pet-dog | 0 | 3,266 | diffusers | 2023-11-06T09:07:27 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by sanjanach following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MRCEW-62
Sample pictures of this concept:
![0](https://huggingface.co... | 390 | [
[
-0.064697265625,
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0.049041748046875,
0.0284271240234375,
-0.055511474609375,
-0.033203125,
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0.01293182... |
hariram344/human-emotions-jnn | 2023-11-05T17:05:35.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | hariram344 | null | null | hariram344/human-emotions-jnn | 0 | 3,265 | diffusers | 2023-11-05T17:01:46 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### human-emotions-jnn Dreambooth model trained by hariram344 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MITS-1184
Sample pictures of this concept:
![0](https://hugg... | 404 | [
[
-0.04144287109375,
-0.021026611328125,
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-0.0246124267578125,
-0.022003173828125,
... |
Salesforce/codet5p-770m | 2023-05-16T00:33:03.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"arxiv:2305.07922",
"license:bsd-3-clause",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Salesforce | null | null | Salesforce/codet5p-770m | 14 | 3,261 | transformers | 2023-05-13T13:34:17 | ---
license: bsd-3-clause
---
# CodeT5+ 770M
## Model description
[CodeT5+](https://github.com/salesforce/CodeT5/tree/main/CodeT5+) is a new family of open code large language models with an encoder-decoder architecture that can flexibly operate in different modes (i.e. _encoder-only_, _decoder-only_, and _encoder-d... | 4,621 | [
[
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0.... |
timm/convnext_tiny.fb_in22k_ft_in1k_384 | 2023-03-31T22:38:29.000Z | [
"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_tiny.fb_in22k_ft_in1k_384 | 0 | 3,259 | timm | 2022-12-13T07:15:22 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_tiny.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 Typ... | 15,729 | [
[
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0.0650634765625,
0.0162811279296875,
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-0.... |
shibal1/anything-v4.5-clone | 2023-08-06T15:13:02.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | shibal1 | null | null | shibal1/anything-v4.5-clone | 8 | 3,254 | diffusers | 2023-06-12T14:41:31 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
duplicated_from: andite/anything-v4.0
---
[UPDATE (August 6, 2023)]
Hi! It may have seem the original repository I forked from [andite/anything-v4.0] is unavailable for ... | 4,749 | [
[
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0.0242156982421875,
0.036529541015625,
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-0.045684814453125,
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... |
sail-rvc/Donald_Duck__RVC_v2__600_Epochs | 2023-07-14T07:21:28.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/Donald_Duck__RVC_v2__600_Epochs | 2 | 3,254 | transformers | 2023-07-14T07:21:17 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# Donald_Duck__RVC_v2__600_Epochs
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:21:28
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reaso... | 399 | [
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infgrad/stella-large-zh | 2023-10-19T06:58:59.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"mteb",
"arxiv:1612.00796",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | infgrad | null | null | infgrad/stella-large-zh | 23 | 3,254 | transformers | 2023-09-10T07:51:33 | ---
tags:
- mteb
model-index:
- name: stella-large-zh
results:
- task:
type: STS
dataset:
type: C-MTEB/AFQMC
name: MTEB AFQMC
config: default
split: validation
revision: None
metrics:
- type: cos_sim_pearson
value: 51.61327712288466
- type: cos_sim_spearman
... | 37,805 | [
[
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0.0178070068359375,
-0.0455322265625,
-0.060150146484375,
-0.047576904296875,
0.016... |
Posos/ClinicalNER | 2023-07-28T17:03:54.000Z | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"token-classification",
"medical",
"fr",
"en",
"de",
"multilingual",
"es",
"it",
"dataset:Posos/MedNERF",
"license:cc-by-nc-sa-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Posos | null | null | Posos/ClinicalNER | 1 | 3,253 | transformers | 2023-07-28T15:03:49 | ---
license: cc-by-nc-sa-4.0
datasets:
- Posos/MedNERF
metrics:
- f1
tags:
- medical
widget:
- text: take two pills every morning during one week
- text: xeplion 50mg 2 fois par jour
- text: doliprane 500 1 comprimé effervescent le matin pendant une semaine
- text: >-
Der Patient sollte zehn Tage lang während dem F... | 2,020 | [
[
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0.01806640625,
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0.0... |
d4data/bias-detection-model | 2022-08-09T02:40:59.000Z | [
"transformers",
"tf",
"distilbert",
"text-classification",
"Text Classification",
"en",
"co2_eq_emissions",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | d4data | null | null | d4data/bias-detection-model | 19 | 3,247 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- Text Classification
co2_eq_emissions: 0.319355
widget:
- text: "Nevertheless, Trump and other Republicans have tarred the protests as havens for terrorists intent on destroying property."
example_title: "Biased example 1"
- text: "Billie Eilish issues apology for mouthing an anti-Asian dero... | 2,506 | [
[
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0.0246124267578125,
-0.031402587890625,
-0.046539306640625,
-0.05902099609375,... |
TheBloke/zephyr-7B-alpha-AWQ | 2023-10-14T07:12:09.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"en",
"dataset:stingning/ultrachat",
"dataset:openbmb/UltraFeedback",
"arxiv:2305.18290",
"license:mit",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/zephyr-7B-alpha-AWQ | 12 | 3,247 | transformers | 2023-10-11T03:26:12 | ---
base_model: HuggingFaceH4/zephyr-7b-alpha
datasets:
- stingning/ultrachat
- openbmb/UltraFeedback
inference: false
language:
- en
license: mit
model-index:
- name: zephyr-7b-alpha
results: []
model_creator: Hugging Face H4
model_name: Zephyr 7B Alpha
model_type: mistral
prompt_template: '<|system|>
</s>
<|u... | 21,537 | [
[
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squeezebert/squeezebert-mnli | 2020-12-11T22:02:13.000Z | [
"transformers",
"pytorch",
"squeezebert",
"arxiv:2006.11316",
"arxiv:1904.00962",
"endpoints_compatible",
"region:us"
] | null | squeezebert | null | null | squeezebert/squeezebert-mnli | 0 | 3,246 | transformers | 2022-03-02T23:29:05 | language: en
license: bsd
datasets:
- bookcorpus
- wikipedia
---
# SqueezeBERT pretrained model
This model, `squeezebert-mnli`, has been pretrained for the English language using a masked language modeling (MLM) and Sentence Order Prediction (SOP) objective and finetuned on the [Multi-Genre Natural Language Inference... | 3,738 | [
[
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0.00669097900390625,
0.036712646484375,
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-0.022430419921875,
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... |
0xJustin/Dungeons-and-Diffusion | 2023-02-24T18:58:30.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 0xJustin | null | null | 0xJustin/Dungeons-and-Diffusion | 229 | 3,246 | diffusers | 2022-11-06T18:03:42 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
FOR THE NEW VERSION DOWNLOAD 'D&Diffusion3.0_Protogen.ckpt'
The newest version is finetuned from Protogen to great effect. Also works great at resolutions great than 512x512!
Species in new version: aarakocra, aasimar, air_genasi, centaur, dragonborn, dr... | 2,813 | [
[
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-0.0012655258... |
facebook/wav2vec2-large-robust | 2021-11-05T12:45:27.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"pretraining",
"speech",
"en",
"dataset:libri_light",
"dataset:common_voice",
"dataset:switchboard",
"dataset:fisher",
"arxiv:2104.01027",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | facebook | null | null | facebook/wav2vec2-large-robust | 18 | 3,245 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- libri_light
- common_voice
- switchboard
- fisher
tags:
- speech
license: apache-2.0
---
# Wav2Vec2-Large-Robust
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The large model pretrained on 16kHz sampled speech audio.
Spee... | 2,918 | [
[
-0.0195159912109375,
-0.048065185546875,
0.003173828125,
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0.022186279296875,
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-0.046142578125,
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-0.0262... |
hfl/rbt3 | 2021-05-19T19:19:45.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"arxiv:1906.08101",
"arxiv:2004.13922",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | hfl | null | null | hfl/rbt3 | 15 | 3,242 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
tags:
- bert
license: "apache-2.0"
pipeline_tag: "fill-mask"
---
# This is a re-trained 3-layer RoBERTa-wwm-ext model.
## Chinese BERT with Whole Word Masking
For further accelerating Chinese natural language processing, we provide **Chinese pre-trained BERT with Whole Word Masking**.
**[Pre-Tra... | 2,089 | [
[
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0.0377197265625,
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-0.033935546875,
-0.037506103515625,
-0.0065... |
kandinsky-community/kandinsky-2-2-decoder-inpaint | 2023-10-09T11:33:04.000Z | [
"diffusers",
"text-to-image",
"kandinsky",
"license:apache-2.0",
"has_space",
"diffusers:KandinskyV22InpaintPipeline",
"region:us"
] | text-to-image | kandinsky-community | null | null | kandinsky-community/kandinsky-2-2-decoder-inpaint | 13 | 3,241 | diffusers | 2023-06-16T17:14:36 | ---
license: apache-2.0
prior:
- kandinsky-community/kandinsky-2-2-prior
tags:
- text-to-image
- kandinsky
inference: false
---
# Kandinsky 2.2
Kandinsky inherits best practices from Dall-E 2 and Latent diffusion while introducing some new ideas.
It uses the CLIP model as a text and image encoder, and diffusion im... | 5,698 | [
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-0.03857421875,... |
stabilityai/stablecode-completion-alpha-3b-4k | 2023-08-08T15:18:07.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"code",
"dataset:bigcode/starcoderdata",
"arxiv:2104.09864",
"arxiv:1910.02054",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | stabilityai | null | null | stabilityai/stablecode-completion-alpha-3b-4k | 248 | 3,237 | transformers | 2023-08-07T16:59:19 | ---
datasets:
- bigcode/starcoderdata
language:
- code
tags:
- causal-lm
model-index:
- name: stabilityai/stablecode-completion-alpha-3b-4k
results:
- task:
type: text-generation
dataset:
type: openai_humaneval
name: HumanEval
metrics:
- name: pass@1
... | 4,773 | [
[
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0.0177001953125,
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0.0198974609375,
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-0.04302978515625,
-0.048858642578125,
0.0174... |
hf-internal-testing/tiny-random-bloom | 2022-06-27T18:38:43.000Z | [
"transformers",
"pytorch",
"bloom",
"feature-extraction",
"integration",
"text-generation",
"eng",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | hf-internal-testing | null | null | hf-internal-testing/tiny-random-bloom | 0 | 3,233 | transformers | 2022-06-27T18:34:13 | ---
language:
- eng
tags:
- integration
pipeline_tag: text-generation
---
# BigScience - testing model
This model aims to test the conversion between Megatron-LM and transformers. It is a small ```GPT-2```-like model that has been used to debug the script. Use it only for integration tests | 295 | [
[
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0.03887939453125,
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0.00872039794921875,
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0.0361328125,
-0.0501708984375,
-0.00476837158203125,
-0.0330810546875,
0.... |
stanford-crfm/BioMedLM | 2023-03-01T08:56:16.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"dataset:pubmed",
"arxiv:2112.04359",
"license:bigscience-bloom-rail-1.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | stanford-crfm | null | null | stanford-crfm/BioMedLM | 242 | 3,230 | transformers | 2022-12-14T08:14:59 | ---
license: bigscience-bloom-rail-1.0
datasets:
- pubmed
widget:
- text: 'Photosynthesis is'
---
# Model Card for BioMedLM 2.7B
Note: This model was previously known as PubMedGPT 2.7B, but we have changed it due to a request from the NIH which holds the trademark for "PubMed".
BioMedLM 2.7B is new language model ... | 9,730 | [
[
-0.018402099609375,
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0.04962158203125,
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-0.039306640625,
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0.014... |
flair/upos-multi-fast | 2021-03-02T22:22:55.000Z | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"en",
"de",
"fr",
"it",
"nl",
"pl",
"es",
"sv",
"da",
"no",
"fi",
"cs",
"dataset:ontonotes",
"region:us"
] | token-classification | flair | null | null | flair/upos-multi-fast | 4 | 3,224 | flair | 2022-03-02T23:29:05 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language:
- en
- de
- fr
- it
- nl
- pl
- es
- sv
- da
- no
- fi
- cs
datasets:
- ontonotes
widget:
- text: "Ich liebe Berlin, as they say."
---
## Multilingual Universal Part-of-Speech Tagging in Flair (fast model)
This is the fast multilingual uni... | 4,873 | [
[
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-0.0438232421875,
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0.0172119140625,
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-0.04852294921875,
-0.030059814453125,
0.0178375244140625,
... |
agemagician/mlong-t5-tglobal-base | 2023-05-21T18:51:42.000Z | [
"transformers",
"pytorch",
"jax",
"longt5",
"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",
"g... | text2text-generation | agemagician | null | null | agemagician/mlong-t5-tglobal-base | 5 | 3,224 | transformers | 2023-05-19T20:49:19 | ---
license: apache-2.0
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
-... | 6,849 | [
[
-0.0245513916015625,
-0.04522705078125,
0.0160675048828125,
0.00739288330078125,
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0.0022716522216796875,
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-0.0413818359375,
-0.0502624511718... |
Undi95/Mistral-11B-CC-Air-RP | 2023-10-09T18:37:16.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"not-for-all-audiences",
"nsfw",
"pretrained",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Undi95 | null | null | Undi95/Mistral-11B-CC-Air-RP | 3 | 3,223 | transformers | 2023-10-09T17:53:48 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
- mistral
- pretrained
---
CollectiveCognition-v1.1-Mistral-7B and airoboros-mistral2.2-7b glued together and finetuned with qlora of Pippa and LimaRPv3 dataset.
<!-- description start -->
## Description
This repo contains fp16 files of Mistral-11B-CC-Ai... | 1,287 | [
[
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0.035552978515625,
0.0513916015625,
-0.058929443359375,
-0.040435791015625,
-0.04180908203125,
0.001... |
anantoj/wav2vec2-xls-r-1b-korean | 2022-03-23T18:29:13.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"ko",
"dataset:kresnik/zeroth_korean",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | anantoj | null | null | anantoj/wav2vec2-xls-r-1b-korean | 2 | 3,222 | transformers | 2022-03-02T23:29:05 | ---
language: ko
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- robust-speech-event
datasets:
- kresnik/zeroth_korean
model-index:
- name: Wav2Vec2 XLS-R 1B Korean
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recogni... | 6,374 | [
[
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0.05010986328125,
0.0290374755859375,
-0.04150390625,
-0.048980712890625,
-0.0468139648... |
MAGAer13/mplug-owl-bloomz-7b-multilingual | 2023-05-30T07:00:38.000Z | [
"transformers",
"pytorch",
"mplug-owl",
"image-to-text",
"en",
"zh",
"fr",
"ja",
"multilingual",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | MAGAer13 | null | null | MAGAer13/mplug-owl-bloomz-7b-multilingual | 7 | 3,222 | transformers | 2023-05-30T05:36:50 | ---
license: apache-2.0
language:
- en
- zh
- fr
- ja
- multilingual
pipeline_tag: image-to-text
tags:
- mplug-owl
---
# Usage
## Get the latest codebase from Github
```Bash
git clone https://github.com/X-PLUG/mPLUG-Owl.git
```
## Model initialization
```Python
from transformers import AutoTokenizer
from mplug_owl.mo... | 2,192 | [
[
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0.0191497802734375,
0.0220947265625,
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0.0193939208984375,
-0.0504150390625,
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0... |
M-CLIP/XLM-Roberta-Large-Vit-B-16Plus | 2022-09-15T10:45:56.000Z | [
"transformers",
"pytorch",
"tf",
"multilingual",
"af",
"sq",
"am",
"ar",
"az",
"bn",
"bs",
"bg",
"ca",
"zh",
"hr",
"cs",
"da",
"nl",
"en",
"et",
"fr",
"de",
"el",
"hi",
"hu",
"is",
"id",
"it",
"ja",
"mk",
"ml",
"mr",
"pl",
"pt",
"ro",
"ru",
"sr... | null | M-CLIP | null | null | M-CLIP/XLM-Roberta-Large-Vit-B-16Plus | 14 | 3,219 | transformers | 2022-05-30T21:33:14 | ---
language:
- multilingual
- af
- sq
- am
- ar
- az
- bn
- bs
- bg
- ca
- zh
- hr
- cs
- da
- nl
- en
- et
- fr
- de
- el
- hi
- hu
- is
- id
- it
- ja
- mk
- ml
- mr
- pl
- pt
- ro
- ru
- sr
- sl
- es
- sw
- sv
- tl
- te
- tr
- tk
- uk
- ur
- ug
- uz
- vi
- xh
---
## Multilingual-clip: XLM-Roberta-Large-Vit-B-16P... | 3,891 | [
[
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0.0552978515625,
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0... |
lllyasviel/sd-controlnet-seg | 2023-04-24T22:30:42.000Z | [
"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-seg | 37 | 3,214 | diffusers | 2023-02-24T07:13:29 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
- image-to-image
---
# Controlnet - *Image Segmentation Version*
ControlNet is a neural network structure to control diffusion models by adding extra conditions.
This checkpoint corresponds to the ControlNet ... | 15,027 | [
[
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team-lucid/hubert-base-korean | 2023-09-05T02:55:16.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"hubert",
"feature-extraction",
"speech",
"audio",
"automatic-speech-recognition",
"custom_code",
"ko",
"arxiv:2106.07447",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | team-lucid | null | null | team-lucid/hubert-base-korean | 15 | 3,210 | transformers | 2023-05-29T12:00:30 | ---
license: apache-2.0
language:
- ko
library_name: transformers
pipeline_tag: automatic-speech-recognition
tags:
- speech
- audio
---
# hubert-base-korean
## Model Details
Hubert(Hidden-Unit BERT)는 Facebook에서 제안한 Speech Representation Learning 모델입니다.
Hubert는 기존의 음성 인식 모델과 달리, 음성 신호를 raw waveform에서 바로 학습하는 se... | 3,076 | [
[
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0.0222015380859375,
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0.0009684562683105469,
-0.02093505859375,
-0.0196075439453125,
0.02099609375,
0.00865936279296875,
-0.044830322265625,
-0.0465087890625,
-0.05133056640625,
-... |
melaris/peyman2ai | 2023-11-03T17:01:30.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | melaris | null | null | melaris/peyman2ai | 0 | 3,209 | diffusers | 2023-11-03T16:57:11 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Peyman2Ai Dreambooth model trained by melaris 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 [fa... | 498 | [
[
-0.0167999267578125,
-0.053253173828125,
0.0440673828125,
0.037139892578125,
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0.024139404296875,
0.02081298828125,
-0.0121307373046875,
0.040557861328125,
0.00966644287109375,
-0.0088653564453125,
-0.0176849365234375,
-0.03363037109375,
-... |
inception-mbzuai/jais-13b | 2023-09-12T06:45:24.000Z | [
"transformers",
"pytorch",
"jais",
"text-generation",
"Arabic",
"English",
"LLM",
"Decoder",
"causal-lm",
"custom_code",
"ar",
"en",
"arxiv:2308.16149",
"license:apache-2.0",
"region:us"
] | text-generation | inception-mbzuai | null | null | inception-mbzuai/jais-13b | 59 | 3,207 | transformers | 2023-08-17T07:50:29 | ---
language:
- ar
- en
thumbnail: null
tags:
- Arabic
- English
- LLM
- Decoder
- causal-lm
license: apache-2.0
pipeline_tag: text-generation
---
# Jais-13b
<!-- Provide a quick summary of what the model is/does. -->
This is a 13 billion parameter pre-trained bilingual large language model for both Arabic and Engli... | 10,496 | [
[
-0.042266845703125,
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0.03094482421875,
-0.03167724609375,
-0.0439453125,
-0.052215576171875,
... |
google/rembert | 2022-05-27T15:05:23.000Z | [
"transformers",
"pytorch",
"tf",
"rembert",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"bs",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha"... | null | google | null | null | google/rembert | 15 | 3,206 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- af
- am
- ar
- az
- be
- bg
- bn
- bs
- 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
- hr
- ht
- hu
- hy
- id
- ig
- is
- it
- iw
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lb
- lo
- lt
- lv
-... | 2,961 | [
[
-0.028594970703125,
-0.060455322265625,
0.02081298828125,
-0.00640869140625,
-0.0309906005859375,
0.0240478515625,
-0.01276397705078125,
-0.0289459228515625,
0.017608642578125,
0.0328369140625,
-0.04205322265625,
-0.04998779296875,
-0.037139892578125,
-0.008... |
ckiplab/albert-base-chinese-ws | 2022-05-10T03:28:09.000Z | [
"transformers",
"pytorch",
"albert",
"token-classification",
"zh",
"license:gpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | ckiplab | null | null | ckiplab/albert-base-chinese-ws | 1 | 3,205 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
- pytorch
- token-classification
- albert
- zh
license: gpl-3.0
---
# CKIP ALBERT Base Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word seg... | 1,128 | [
[
-0.0237274169921875,
-0.021942138671875,
0.0012359619140625,
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-0.01165008544921875,
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0.0318603515625,
-0.0262603759765625,
-0.0244598388671875,
-0.04345703125,
... |
csebuetnlp/mT5_m2m_crossSum_enhanced | 2023-02-28T13:29:42.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"summarization",
"mT5",
"am",
"ar",
"az",
"bn",
"my",
"zh",
"en",
"fr",
"gu",
"ha",
"hi",
"ig",
"id",
"ja",
"rn",
"ko",
"ky",
"mr",
"ne",
"om",
"ps",
"fa",
"pcm",
"pt",
"pa",
"ru",
"gd",
"sr",... | summarization | csebuetnlp | null | null | csebuetnlp/mT5_m2m_crossSum_enhanced | 8 | 3,205 | transformers | 2023-02-28T12:58:53 | ---
tags:
- summarization
- mT5
language:
- am
- ar
- az
- bn
- my
- zh
- en
- fr
- gu
- ha
- hi
- ig
- id
- ja
- rn
- ko
- ky
- mr
- ne
- om
- ps
- fa
- pcm
- pt
- pa
- ru
- gd
- sr
- si
- so
- es
- sw
- ta
- te
- th
- ti
- tr
- uk
- ur
- uz
- vi
- cy
- yo
licenses:
- cc-by-nc-sa-4.0
widget:
- text: >-
Videos that... | 5,645 | [
[
-0.0302581787109375,
-0.0484619140625,
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0.02349853515625,
0.01419830322265625,
-0.0347900390625,
-0.04180908203125,
-0.059326171875,
0.02... |
pszemraj/long-t5-tglobal-base-16384-book-summary | 2023-04-30T06:25:29.000Z | [
"transformers",
"pytorch",
"rust",
"onnx",
"safetensors",
"longt5",
"text2text-generation",
"summarization",
"summary",
"booksum",
"long-document",
"long-form",
"dataset:kmfoda/booksum",
"arxiv:2112.07916",
"arxiv:2105.08209",
"doi:10.57967/hf/0100",
"license:apache-2.0",
"license:... | summarization | pszemraj | null | null | pszemraj/long-t5-tglobal-base-16384-book-summary | 97 | 3,204 | transformers | 2022-06-27T16:37:26 | ---
tags:
- summarization
- summary
- booksum
- long-document
- long-form
license:
- apache-2.0
- bsd-3-clause
datasets:
- kmfoda/booksum
metrics:
- rouge
widget:
- text: large earthquakes along a given fault segment do not occur at random intervals
because it takes time to accumulate the strain energy for the rupt... | 27,001 | [
[
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0.01116180419921875,
0.0257568359375,
-0.0272979736328125,
-0.040679931640625,
-0.053131103515625,
0.0... |
facebook/vit-mae-huge | 2023-06-13T19:43:24.000Z | [
"transformers",
"pytorch",
"tf",
"vit_mae",
"pretraining",
"vision",
"dataset:imagenet-1k",
"arxiv:2111.06377",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | facebook | null | null | facebook/vit-mae-huge | 3 | 3,196 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
datasets:
- imagenet-1k
---
# Vision Transformer (huge-sized model) pre-trained with MAE
Vision Transformer (ViT) model pre-trained using the MAE method. It was introduced in the paper [Masked Autoencoders Are Scalable Vision Learners](https://arxiv.org/abs/2111.06377) by Kaimin... | 2,967 | [
[
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0.0031299591064453125,
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0.038818359375,
0.03155517578125,
-0.03985595703125,
-0.01885986328125,
-0.06591796875,
-0... |
TheBloke/Llama-2-70B-Chat-fp16 | 2023-08-06T10:02:48.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-70B-Chat-fp16 | 43 | 3,192 | transformers | 2023-07-19T02:21:26 | ---
inference: false
language:
- en
license: other
model_type: llama
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
---
<!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: bloc... | 14,206 | [
[
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0.0241546630859375,
0.0258941650390625,
-0.052093505859375,
-0.0273284912109375,
-0.045562744140625... |
setu4993/smaller-LaBSE | 2023-10-19T06:24:02.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"feature-extraction",
"sentence_embedding",
"multilingual",
"google",
"sentence-similarity",
"labse",
"ar",
"de",
"en",
"es",
"fr",
"it",
"ja",
"ko",
"nl",
"pl",
"pt",
"ru",
"th",
"tr",
"zh",
"datase... | sentence-similarity | setu4993 | null | null | setu4993/smaller-LaBSE | 12 | 3,191 | transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
language:
- ar
- de
- en
- es
- fr
- it
- ja
- ko
- nl
- pl
- pt
- ru
- th
- tr
- zh
tags:
- bert
- sentence_embedding
- multilingual
- google
- sentence-similarity
- labse
license: apache-2.0
datasets:
- CommonCrawl
- Wikipedia
---
# ... | 3,481 | [
[
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0.0218505859375,
0.0022869110107421875,
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... |
staka/fugumt-en-ja | 2023-08-15T08:45:04.000Z | [
"transformers",
"pytorch",
"marian",
"text2text-generation",
"translation",
"en",
"ja",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | staka | null | null | staka/fugumt-en-ja | 40 | 3,189 | transformers | 2022-05-08T04:23:57 | ---
license: cc-by-sa-4.0
language:
- en
- ja
tags:
- translation
---
# FuguMT
This is a translation model using Marian-NMT.
For more details, please see [my repository](https://github.com/s-taka/fugumt).
* source language: en
* target language: ja
### How to use
This model uses transformers and sentencepiece... | 1,266 | [
[
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0.029296875,
0.05810546875,
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-0.005985260009765625,
0.0303955078125,
0.0418701171875,
-0.044036865234375,
-0.0197906494140625,
-0.033111572265625,
0.02934265136... |
patrickvonplaten/longformer2roberta-cnn_dailymail-fp16 | 2020-12-11T21:59:19.000Z | [
"transformers",
"pytorch",
"encoder_decoder",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | patrickvonplaten | null | null | patrickvonplaten/longformer2roberta-cnn_dailymail-fp16 | 6 | 3,184 | transformers | 2022-03-02T23:29:05 | # Longformer2Roberta Summarization with 🤗 EncoderDecoder Framework
This model is a Longformer2Roberta model fine-tuned on summarization.
Longformer2Roberta is a `EncoderDecoderModel`, meaning that both the encoder is a `allenai/longformer-base-4096` model and the decoder is a `roberta-base` model. Leveraging the [En... | 19,666 | [
[
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0.00146484375,
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0.06756591796875,
0.0273590087890625,
-0.033538818359375,
0.0017547607421875,
-0.05908203125,
-0.0... |
sentence-transformers/bert-large-nli-stsb-mean-tokens | 2022-06-15T22:48:23.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/bert-large-nli-stsb-mean-tokens | 1 | 3,184 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
license: apache-2.0
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net... | 3,981 | [
[
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-0.0263214111328125,
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0.01910400390625,
0.0270233154296875,
-0.04071044921875,
-0.0301513671875,
-0.05401611328125,
0.0057... |
Hate-speech-CNERG/deoffxlmr-mono-tamil | 2021-09-25T13:59:19.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"ta",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Hate-speech-CNERG | null | null | Hate-speech-CNERG/deoffxlmr-mono-tamil | 0 | 3,182 | transformers | 2022-03-02T23:29:04 | ---
language: ta
license: apache-2.0
---
This model is used to detect **Offensive Content** in **Tamil Code-Mixed language**. The mono in the name refers to the monolingual setting, where the model is trained using only Tamil(pure and code-mixed) data. The weights are initialized from pretrained XLM-Roberta-Base and pr... | 2,503 | [
[
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-0.06768798828125,
-0.0227508544921875,
0.00365447998046875,
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-0.01959228515625,
-0.04376220703125,
0.0115814208984375,
0.0216522216796875,
-0.0295867919921875,
-0.036834716796875,
-0.059356689453125,
... |
aychang/roberta-base-imdb | 2021-05-20T14:25:56.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"en",
"dataset:imdb",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | aychang | null | null | aychang/roberta-base-imdb | 3 | 3,181 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
thumbnail:
tags:
- text-classification
license: mit
datasets:
- imdb
metrics:
---
# IMDB Sentiment Task: roberta-base
## Model description
A simple base roBERTa model trained on the "imdb" dataset.
## Intended uses & limitations
#### How to use
##### Transformers
```python
# Load model and ... | 2,147 | [
[
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0.016204833984375,
0.0304718017578125,
-0.05859375,
-0.04364013671875,
-0.056243896484375,
0.00... |
timm/convnext_small.fb_in22k_ft_in1k | 2023-03-31T22:34:46.000Z | [
"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_small.fb_in22k_ft_in1k | 0 | 3,176 | timm | 2022-12-13T07:13:48 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_small.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:*... | 15,738 | [
[
-0.06756591796875,
-0.032318115234375,
-0.0034656524658203125,
0.03778076171875,
-0.032073974609375,
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-0.012939453125,
-0.035064697265625,
0.0648193359375,
0.016754150390625,
-0.044525146484375,
-0.04180908203125,
-0.05010986328125,
-0.00... |
timm/vit_base_patch8_224.augreg_in21k | 2023-05-06T00:00:08.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch8_224.augreg_in21k | 0 | 3,175 | timm | 2022-12-22T07:22:55 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for vit_base_patch8_224.augreg_in21k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k (with additional augmentation and regularization) in JAX by paper authors, ported ... | 3,800 | [
[
-0.038726806640625,
-0.029815673828125,
-0.002613067626953125,
0.00725555419921875,
-0.027374267578125,
-0.0239105224609375,
-0.0229644775390625,
-0.036376953125,
0.0123443603515625,
0.0247955322265625,
-0.0377197265625,
-0.036224365234375,
-0.047515869140625,
... |
timm/mobilenetv2_140.ra_in1k | 2023-04-27T21:14:28.000Z | [
"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_140.ra_in1k | 0 | 3,173 | timm | 2022-12-13T00:00:49 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mobilenetv2_140.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 by... | 4,749 | [
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ultralyticsplus/yolov8s | 2023-01-21T19:43:15.000Z | [
"ultralytics",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"model-index",
"has_space",
"region:us"
] | object-detection | ultralyticsplus | null | null | ultralyticsplus/yolov8s | 25 | 3,173 | ultralytics | 2023-01-12T10:15:46 |
---
tags:
- ultralyticsplus
- ultralytics
- yolov8
- yolo
- vision
- object-detection
- pytorch
library_name: ultralytics
library_version: 8.0.4
inference: false
model-index:
- name: ultralyticsplus/yolov8s
results:
- task:
type: object-detection
metrics:
- type: precision # since mAP is not av... | 2,147 | [
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0.0227508544921875,
0.03094482421875,
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0.01... |
fffrrt/ruGPT-3.5-13B-GPTQ | 2023-07-20T20:27:26.000Z | [
"transformers",
"gpt2",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | fffrrt | null | null | fffrrt/ruGPT-3.5-13B-GPTQ | 18 | 3,170 | transformers | 2023-07-20T19:36:14 | GPTQ quantisation of https://huggingface.co/ai-forever/ruGPT-3.5-13B
Small perplexity test:
before quantization - 'mean_perplexity': 10.241
after quantization - 'mean_perplexity': 10.379
Data - RussianSuperGlue > DaNetQA/train.jsonl['passage']
As this is a hastily thrown together quant with no prior experience i... | 412 | [
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laion/CLIP-convnext_base_w-laion2B-s13B-b82K-augreg | 2023-04-18T22:05:22.000Z | [
"open_clip",
"tensorboard",
"clip",
"zero-shot-image-classification",
"arxiv:2201.03545",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-convnext_base_w-laion2B-s13B-b82K-augreg | 4 | 3,163 | open_clip | 2023-01-10T01:34:39 | ---
license: mit
pipeline_tag: zero-shot-image-classification
library_name: open_clip
tags:
- clip
---
# Model Card for CLIP-convnext_base_w.laion2B-s13B-b82k-augreg
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training Details](#training-details)
4. [Evaluation](#evaluation)
5. [Ackno... | 12,621 | [
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andreasmadsen/efficient_mlm_m0.40 | 2022-11-15T23:25:11.000Z | [
"transformers",
"pytorch",
"tf",
"roberta-prelayernorm",
"fill-mask",
"arxiv:2202.08005",
"autotrain_compatible",
"region:us"
] | fill-mask | andreasmadsen | null | null | andreasmadsen/efficient_mlm_m0.40 | 1 | 3,162 | transformers | 2022-11-15T22:10:55 | ---
inference: false
---
This is a model checkpoint for ["Should You Mask 15% in Masked Language Modeling"](https://arxiv.org/abs/2202.08005) [(code)](https://github.com/princeton-nlp/DinkyTrain.git).
The original checkpoint is avaliable at [princeton-nlp/efficient_mlm_m0.40](https://huggingface.co/princeton-nlp/effic... | 630 | [
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timm/eva02_large_patch14_448.mim_m38m_ft_in22k_in1k | 2023-03-31T05:47:06.000Z | [
"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_large_patch14_448.mim_m38m_ft_in22k_in1k | 3 | 3,158 | timm | 2023-03-31T04:51:15 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for eva02_large_patch14_448.mim_m38m_ft_in22k_in1k
An EVA02 image classification model. Pretrained on Merged-38M (IN-22K, CC12M, CC3M, COCO (train), ADE20K (train), Object365, and OpenImages) ... | 5,517 | [
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artificialguybr/LogoRedmond-LogoLoraForSDXL | 2023-10-07T02:40:59.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/LogoRedmond-LogoLoraForSDXL | 26 | 3,158 | diffusers | 2023-08-07T19:22:33 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: LogoRedAF
widget:
- text: LogoRedAF
---
# Logo.Redmond
DOWNLOAD V2 HERE: https://huggingface.co/artificialguybr/LogoRed... | 1,207 | [
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timm/samvit_base_patch16.sa1b | 2023-05-18T21:44:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2304.02643",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/samvit_base_patch16.sa1b | 0 | 3,156 | timm | 2023-05-18T21:43:39 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
---
# Model card for samvit_base_patch16.sa1b
A Segment-Anything Vision Transformer (SAM ViT) image feature model (NOTE: for features and fine-tune, segmentation head not included). Pretrained on SA-1B for segementation by paper authors w/ ... | 3,751 | [
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-0.006412506... |
jncraton/LaMini-Flan-T5-248M-ct2-int8 | 2023-09-11T14:37:41.000Z | [
"transformers",
"generated_from_trainer",
"instruction fine-tuning",
"text2text-generation",
"en",
"arxiv:2304.14402",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text2text-generation | jncraton | null | null | jncraton/LaMini-Flan-T5-248M-ct2-int8 | 0 | 3,156 | transformers | 2023-06-04T21:36:33 | ---
language:
- en
license: cc-by-nc-4.0
tags:
- generated_from_trainer
- instruction fine-tuning
pipeline_tag: text2text-generation
widget:
- text: how can I become more healthy?
example_title: example
base_model: google/flan-t5-base
model-index:
- name: flan-t5-small-distil-v2
results: []
---
<!-- This model car... | 6,431 | [
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0.004... |
DeepPavlov/distilrubert-tiny-cased-conversational-v1 | 2022-05-06T11:57:05.000Z | [
"transformers",
"pytorch",
"distilbert",
"ru",
"arxiv:2205.02340",
"endpoints_compatible",
"region:us"
] | null | DeepPavlov | null | null | DeepPavlov/distilrubert-tiny-cased-conversational-v1 | 1 | 3,155 | transformers | 2022-03-02T23:29:04 | ---
language:
- ru
---
# distilrubert-tiny-cased-conversational
Conversational DistilRuBERT-tiny \(Russian, cased, 3‑layers, 264‑hidden, 12‑heads, 10.4M parameters\) was trained on OpenSubtitles\[1\], [Dirty](https://d3.ru/), [Pikabu](https://pikabu.ru/), and a Social Media segment of Taiga corpus\[2\] (as [Conversatio... | 4,875 | [
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Hius/DreamFul-V2 | 2023-05-03T04:49:40.000Z | [
"diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Hius | null | null | Hius/DreamFul-V2 | 1 | 3,151 | diffusers | 2023-04-01T11:23:35 | ---
language:
- en
library_name: diffusers
license: creativeml-openrail-m
pipeline_tag: text-to-image
---
Model mix aims to create the most realistic and natural images possible. It's currently in the testing process, so please comment.
Available on Sinkin.ai with GPU acceleration.
MY MODELS WILL ALWAYS BE FREE.
htt... | 1,422 | [
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facebook/timesformer-base-finetuned-k600 | 2022-12-12T12:52:56.000Z | [
"transformers",
"pytorch",
"timesformer",
"video-classification",
"vision",
"arxiv:2102.05095",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | video-classification | facebook | null | null | facebook/timesformer-base-finetuned-k600 | 8 | 3,150 | transformers | 2022-10-07T20:53:42 | ---
license: "cc-by-nc-4.0"
tags:
- vision
- video-classification
---
# TimeSformer (base-sized model, fine-tuned on Kinetics-600)
TimeSformer model pre-trained on [Kinetics-600](https://www.deepmind.com/open-source/kinetics). It was introduced in the paper [TimeSformer: Is Space-Time Attention All You Need for Vide... | 1,933 | [
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-0.05572509765625,
-0.0271453857421875,
-0.0610656... |
keremberke/yolov8s-forklift-detection | 2023-02-22T13:00:20.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/forklift-object-detection",
"model-index",
"region:us"
] | object-detection | keremberke | null | null | keremberke/yolov8s-forklift-detection | 2 | 3,148 | ultralytics | 2023-01-22T05:27:12 |
---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/forklift-object-detection
model-index:
- name: keremberke/yolov8s-forklift-detection
results:
- task:
... | 1,827 | [
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Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum | 2023-04-10T18:15:28.000Z | [
"transformers",
"tf",
"bart",
"text2text-generation",
"generated_from_keras_callback",
"dataset:fka/awesome-chatgpt-prompts",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | Kaludi | null | null | Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum | 66 | 3,148 | transformers | 2023-03-27T21:12:40 | ---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: chatgpt-gpt4-prompts-bart-large-cnn-samsum
results: []
datasets:
- fka/awesome-chatgpt-prompts
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and comp... | 1,975 | [
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-0.... |
albert-xxlarge-v1 | 2021-01-13T15:32:02.000Z | [
"transformers",
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | null | null | albert-xxlarge-v1 | 2 | 3,143 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT XXLarge v1
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-r... | 9,774 | [
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