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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
nickwong64/bert-base-uncased-poems-sentiment | 2023-02-08T08:14:08.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"sentiment-analysis",
"poem-sentiment-detection",
"poem-sentiment",
"en",
"dataset:poem_sentment",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | nickwong64 | null | null | nickwong64/bert-base-uncased-poems-sentiment | 2 | 1,091 | transformers | 2023-02-08T06:29:42 | ---
language:
- en
thumbnail: https://cdn.theatlantic.com/thumbor/lx3Vy9ojT2A0mHVooAUARLRpUEc=/0x215:3500x2184/976x549/media/img/mt/2018/03/RTR4F51Y/original.jpg
tags:
- text-classification
- sentiment-analysis
- poem-sentiment-detection
- poem-sentiment
license: apache-2.0
datasets:
- poem_sentment
metrics:
- Acc... | 2,502 | [
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-0.0003998... |
gisohi6975/nsfw-waifu-diffusion | 2023-05-15T19:14:39.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | gisohi6975 | null | null | gisohi6975/nsfw-waifu-diffusion | 15 | 1,091 | diffusers | 2023-05-15T19:09:21 | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
inference: true
---
# waifu-diffusion v1.4 - Diffusion for Weebs
waifu-diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality anime images through fine-tuning.
![image](https://user-imag... | 3,404 | [
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alon-albalak/xlm-roberta-base-xquad | 2021-11-05T20:24:39.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"question-answering",
"multilingual",
"dataset:xquad",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | alon-albalak | null | null | alon-albalak/xlm-roberta-base-xquad | 2 | 1,089 | transformers | 2022-03-02T23:29:05 | ---
tags:
- multilingual
datasets:
- xquad
---
# xlm-roberta-base for multilingual QA
# Overview
**Language Model**: xlm-roberta-base \
**Downstream task**: Extractive QA \
**Training data**: [XQuAD](https://github.com/deepmind/xquad)\
**Testing Data**: [XQuAD](https://github.com/deepmind/xquad)
# Hyperparameters
```p... | 2,324 | [
[
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0.041412353515625,
-0.0537109375,
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-0.034820556640625,
... |
timm/convnext_xlarge.fb_in22k | 2023-03-31T22:43:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-22k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_xlarge.fb_in22k | 0 | 1,089 | timm | 2022-12-13T07:15:58 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-22k
---
# Model card for convnext_xlarge.fb_in22k
A ConvNeXt image classification model. Pretrained on ImageNet-22k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model... | 15,610 | [
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timm/beitv2_large_patch16_224.in1k_ft_in22k_in1k | 2023-05-08T23:46:10.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2208.06366",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/beitv2_large_patch16_224.in1k_ft_in22k_in1k | 2 | 1,089 | timm | 2022-12-23T02:35:38 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-1k
- imagenet-22k
---
# Model card for beitv2_large_patch16_224.in1k_ft_in22k_in1k
A BEiT-v2 image classification model. Trained on ImageNet-1k with self-supervised masked image modelling (MIM) using a VQ-... | 3,882 | [
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Sof22/image-caption-large-copy | 2023-10-03T03:32:25.000Z | [
"transformers",
"pytorch",
"tf",
"blip",
"text2text-generation",
"image-captioning",
"image-to-text",
"arxiv:2201.12086",
"license:bsd-3-clause",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-to-text | Sof22 | null | null | Sof22/image-caption-large-copy | 6 | 1,089 | transformers | 2023-09-19T06:43:27 | ---
pipeline_tag: image-to-text
tags:
- image-captioning
languages:
- en
license: bsd-3-clause
---
This isi the BLIP salesforce large image captioning model with small adjustments to the paramaters on the back end for testing - note in particular the length of reply is increased.
# BLIP: Bootstrapping Language-Image... | 5,693 | [
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-0.0294189453125,
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-0.041625976562... |
TheBloke/Llama-2-13B-chat-GGUF | 2023-09-27T12:47:12.000Z | [
"transformers",
"llama",
"facebook",
"meta",
"pytorch",
"llama-2",
"text-generation",
"en",
"arxiv:2307.09288",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-13B-chat-GGUF | 87 | 1,088 | transformers | 2023-09-04T17:20:15 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 13B Chat
base_model: meta-llama/Llama-2-13b-chat-hf
inference: false
model_creator: Meta Llama 2
model_type: llama
pipeline_tag: text-generation
prompt_template: '[INST] <<SYS>>
You are a helpful, respectful an... | 27,511 | [
[
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... |
narendrag11/picture11 | 2023-09-04T19:29:32.000Z | [
"diffusers",
"text-to-image",
"autotrain",
"region:us"
] | text-to-image | narendrag11 | null | null | narendrag11/picture11 | 1 | 1,088 | diffusers | 2023-09-04T17:26:16 |
---
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: photo of narendra for linkedIn professional profile picture
tags:
- text-to-image
- diffusers
- autotrain
inference: true
---
# DreamBooth trained by AutoTrain
Text encoder was not trained.
| 272 | [
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dumitrescustefan/bert-base-romanian-cased-v1 | 2022-09-17T18:18:13.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"fill-mask",
"ro",
"license:mit",
"endpoints_compatible",
"region:us"
] | fill-mask | dumitrescustefan | null | null | dumitrescustefan/bert-base-romanian-cased-v1 | 9 | 1,087 | transformers | 2022-03-02T23:29:05 | ---
language: ro
tags:
- bert
- fill-mask
license: mit
---
# bert-base-romanian-cased-v1
The BERT **base**, **cased** model for Romanian, trained on a 15GB corpus, version 
### How to use
```python
from transformers import AutoTokenizer, AutoModel
imp... | 3,786 | [
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someone13574/Mistral-7B-v0.1-sharded | 2023-09-28T21:40:07.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | someone13574 | null | null | someone13574/Mistral-7B-v0.1-sharded | 13 | 1,087 | transformers | 2023-09-28T21:00:58 | ---
license: apache-2.0
---
Just a version of https://huggingface.co/mistralai/Mistral-7B-v0.1 which is sharded as to reduce the ram required when loading. | 156 | [
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VietAI/vit5-large-vietnews-summarization | 2022-09-07T02:28:54.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"summarization",
"vi",
"dataset:cc100",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | summarization | VietAI | null | null | VietAI/vit5-large-vietnews-summarization | 6 | 1,086 | transformers | 2022-05-12T10:09:43 | ---
language: vi
datasets:
- cc100
tags:
- summarization
license: mit
widget:
- text: "vietnews: VietAI là tổ chức phi lợi nhuận với sứ mệnh ươm mầm tài năng về trí tuệ nhân tạo và xây dựng một cộng đồng các chuyên gia trong lĩnh vực trí tuệ nhân tạo đẳng cấp quốc tế tại Việt Nam."
---
# ViT5-large Finetuned on `vie... | 2,431 | [
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0.035... |
WizardLM/WizardCoder-3B-V1.0 | 2023-08-31T08:09:05.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"code",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"arxiv:2303.08774",
"license:bigcode-openrail-m",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | WizardLM | null | null | WizardLM/WizardCoder-3B-V1.0 | 19 | 1,086 | transformers | 2023-08-27T05:27:37 | ---
license: bigcode-openrail-m
metrics:
- code_eval
library_name: transformers
tags:
- code
model-index:
- name: WizardCoder-3B-V1.0
results:
- task:
type: text-generation
dataset:
type: openai_humaneval
name: HumanEval
metrics:
- name: pass@1
type: pass@1
value: 0.348
... | 9,326 | [
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vishanki/my-pet-dog | 2023-10-09T10:15:58.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | vishanki | null | null | vishanki/my-pet-dog | 0 | 1,086 | diffusers | 2023-10-09T10:02:58 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by vishanki following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
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FasterDecoding/medusa-vicuna-7b-v1.3 | 2023-09-11T15:52:53.000Z | [
"transformers",
"endpoints_compatible",
"region:us"
] | null | FasterDecoding | null | null | FasterDecoding/medusa-vicuna-7b-v1.3 | 11 | 1,085 | transformers | 2023-09-10T02:43:41 | <div align="center"><img src="https://github.com/FasterDecoding/Medusa/blob/main/assets/logo.png?raw=true" alt="Medusa" width="100" align="center"></div>
<div align="center"><h1> Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads</h1></div>
<p align="center">
| <a href="https://... | 2,090 | [
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krevas/LDCC-Instruct-Llama-2-ko-13B-v4 | 2023-10-19T00:53:16.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | krevas | null | null | krevas/LDCC-Instruct-Llama-2-ko-13B-v4 | 0 | 1,085 | transformers | 2023-10-13T03:30:13 | ---
license: cc-by-nc-4.0
---
# LDCC-Instruct-Llama-2-ko-13B
<img src="./assets/icon.png" alt="image" width="50%" height="auto">
## Model Details
* **Developed by**: [Lotte Data Communication](https://www.ldcc.co.kr)
## Hardware and Software
* **Hardware**: We utilized an A100x8 * 1 for training our model
* **Tra... | 10,040 | [
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mrm8488/t5-base-finetuned-sarcasm-twitter | 2023-03-17T22:41:30.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"en",
"arxiv:1910.10683",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | mrm8488 | null | null | mrm8488/t5-base-finetuned-sarcasm-twitter | 8 | 1,084 | transformers | 2022-03-02T23:29:05 | ---
language: en
widget:
- text: "As everybody knows Trump is by far the best USA president... XD"
---
# T5-base fine-tuned for Sarcasm Detection 🙄
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) base fine-tuned on [ Twitter Sarcasm Dataset](https://github.com/EducationalTest... | 5,941 | [
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Helsinki-NLP/opus-mt-mk-en | 2023-08-16T12:01:06.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"mk",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-mk-en | 1 | 1,082 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mk-en
* source languages: mk
* target languages: en
* OPUS readme: [mk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mk-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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castorini/wiki-all-8-4-multi-dpr2-query-encoder | 2023-01-05T19:26:00.000Z | [
"transformers",
"jax",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | feature-extraction | castorini | null | null | castorini/wiki-all-8-4-multi-dpr2-query-encoder | 0 | 1,082 | transformers | 2023-01-04T02:35:12 | Dense passage retriever (DPR) is a dense retrieval method described in the following paper:
> Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih. [Dense Passage Retrieval for Open-Domain Question Answering](https://www.aclweb.org/anthology/2020.emnlp-main.550/)... | 904 | [
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google/vit-large-patch16-384 | 2022-01-28T10:22:26.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"vit",
"image-classification",
"vision",
"dataset:imagenet",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"arxiv:2006.03677",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | google | null | null | google/vit-large-patch16-384 | 7 | 1,080 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
- imagenet-21k
---
# Vision Transformer (large-sized model)
Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224, and fine-tuned on ImageNet 2012 (1 million images, 1,000... | 5,476 | [
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digiplay/nk15_diffusers | 2023-10-24T05:44:54.000Z | [
"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/nk15_diffusers | 2 | 1,080 | diffusers | 2023-06-06T17:15:35 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/84604/nk15
if you... | 682 | [
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ostris/photorealistic-slider-sdxl-lora | 2023-08-22T20:12:48.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:other",
"region:us",
"has_space"
] | text-to-image | ostris | null | null | ostris/photorealistic-slider-sdxl-lora | 9 | 1,080 | diffusers | 2023-08-22T20:12:47 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt:
widget:
- text:
---
# Photorealistic Slider SDXL - LoRA
<h2 id="heading-2">SDXL ONLY</h2><ul><li><p>weight: <strong>0 to 5.0</str... | 960 | [
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0.0... |
rahular/varta-t5 | 2023-09-17T22:49:45.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"as",
"bh",
"bn",
"en",
"gu",
"hi",
"kn",
"ml",
"mr",
"ne",
"or",
"pa",
"ta",
"te",
"ur",
"dataset:rahular/varta",
"arxiv:2305.05858",
"arxiv:1912.08777",
"license:apache-2.0",
"autotrain_compatib... | text2text-generation | rahular | null | null | rahular/varta-t5 | 0 | 1,079 | transformers | 2023-01-12T01:24:39 | ---
license: apache-2.0
datasets:
- rahular/varta
language:
- as
- bh
- bn
- en
- gu
- hi
- kn
- ml
- mr
- ne
- or
- pa
- ta
- te
- ur
---
# Varta-T5
## Model Description
Varta-T5 is a model pre-trained on the `full` training set of [Varta](https://huggingface.co/datasets/rahular/varta) in 14 Indic languages (Assames... | 5,201 | [
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aipicasso/cool-japan-diffusion-2-1-2 | 2023-03-09T11:58:46.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"arxiv:2112.10752",
"arxiv:2212.03860",
"license:other",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | aipicasso | null | null | aipicasso/cool-japan-diffusion-2-1-2 | 13 | 1,078 | diffusers | 2023-03-08T08:25:37 | ---
license: other
tags:
- stable-diffusion
- text-to-image
inference: false
---
# Cool Japan Diffusion 2.1.2 Model Card
English version is [here](README_en.md).
# はじめに
Cool Japan Diffusion はStable Diffsionをファインチューニングして、アニメやマンガ、ゲームなどのクールジャパンを表現することに特化したモデルです。なお、内閣府のクールジャパン戦略とは特に関係はありません。... | 6,525 | [
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wavymulder/collage-diffusion | 2023-04-17T21:15:53.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"safetensors",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | wavymulder | null | null | wavymulder/collage-diffusion | 18 | 1,078 | diffusers | 2023-04-11T16:47:45 | ---
language:
- en
thumbnail: "https://huggingface.co/wavymulder/collage-diffusion/resolve/main/pics/thumb.jpg"
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
- safetensors
- diffusers
inference: true
---
**Collage Diffusion**
![Header](https://huggingface.co/wavymulder/collage-diffusion/res... | 1,217 | [
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team-lucid/trocr-small-korean | 2023-07-01T08:41:35.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"vision-encoder-decoder",
"trocr",
"image-to-text",
"ko",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-to-text | team-lucid | null | null | team-lucid/trocr-small-korean | 5 | 1,077 | transformers | 2023-06-30T16:00:43 | ---
license: apache-2.0
language:
- ko
pipeline_tag: image-to-text
tags:
- trocr
- vision-encoder-decoder
---
# trocr-small-korean
## Model Details
TrOCR은 Encoder-Decoder 모델로, 이미지 트랜스포머 인코더와 텍스트 트랜스포머 디코더로 이루어져 있습니다.
이미지 인코더는 DeiT 가중치로 초기화되었고, 텍스트 디코더는 자체적으로 학습한 RoBERTa 가중치로 초기화되었습니다.
이 연구는 구글의 TPU Research C... | 1,142 | [
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timm/convnext_xxlarge.clip_laion2b_soup_ft_in12k | 2023-11-03T21:32:57.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"dataset:laion-2b",
"arxiv:2210.08402",
"arxiv:2103.00020",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_xxlarge.clip_laion2b_soup_ft_in12k | 1 | 1,077 | timm | 2023-11-03T21:29:34 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-12k
- laion-2b
---
# Model card for convnext_xxlarge.clip_laion2b_soup_ft_in12k
A ConvNeXt image classification model. CLIP image tower weights pretrained in [OpenCLIP](https://github.com/mlfoundations/open_clip) on LAI... | 18,303 | [
[
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danbrown/RealisticVision-v2-0 | 2023-04-30T17:23:35.000Z | [
"diffusers",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | danbrown | null | null | danbrown/RealisticVision-v2-0 | 1 | 1,076 | diffusers | 2023-04-30T16:37:03 | Not official! This are diffusers weights for https://civitai.com/models/4201/realistic-vision-v20
Based on Stable Diffusion v1.5 | 128 | [
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facebook/hubert-xlarge-ll60k | 2021-10-20T10:20:44.000Z | [
"transformers",
"pytorch",
"tf",
"hubert",
"feature-extraction",
"speech",
"en",
"dataset:libri-light",
"arxiv:2106.07447",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | facebook | null | null | facebook/hubert-xlarge-ll60k | 4 | 1,075 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- libri-light
tags:
- speech
license: apache-2.0
---
# Hubert-Extra-Large
[Facebook's Hubert](https://ai.facebook.com/blog/hubert-self-supervised-representation-learning-for-speech-recognition-generation-and-compression)
The extra large model pretrained on 16kHz sampled speech audio. When... | 2,510 | [
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laion/CLIP-convnext_large_d_320.laion2B-s29B-b131K-ft | 2023-04-18T19:28:23.000Z | [
"open_clip",
"tensorboard",
"zero-shot-image-classification",
"clip",
"arxiv:2201.03545",
"arxiv:2210.08402",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-convnext_large_d_320.laion2B-s29B-b131K-ft | 2 | 1,075 | open_clip | 2023-02-11T01:37:59 | ---
tags:
- zero-shot-image-classification
- clip
license: mit
library_name: open_clip
pipeline_tag: zero-shot-image-classification
---
# Model card for CLIP-convnext_large_d_320.laion2B-s29B-b131K-ft
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training Details](#training-details)
4. ... | 11,377 | [
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JamesFlare/pastel-mix | 2023-02-25T05:25:10.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | JamesFlare | null | null | JamesFlare/pastel-mix | 37 | 1,075 | diffusers | 2023-02-25T05:24:44 | ---
language:
- en
license: creativeml-openrail-m
thumbnail: >-
https://huggingface.co/andite/pastel-mix/resolve/main/example-images/01194-%20.png
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
duplicated_from: andite/pastel-mix
---
Update Logs:
[1/27/22]
I upload... | 12,198 | [
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0.0... |
showlab/show-1-sr1 | 2023-10-12T03:53:02.000Z | [
"diffusers",
"text-to-video",
"arxiv:2309.15818",
"license:cc-by-nc-4.0",
"diffusers:TextToVideoIFSuperResolutionPipeline_Cond",
"region:us",
"has_space"
] | text-to-video | showlab | null | null | showlab/show-1-sr1 | 2 | 1,075 | diffusers | 2023-10-10T17:08:20 | ---
license: cc-by-nc-4.0
tags:
- text-to-video
---
# show-1-sr1
Pixel-based VDMs can generate motion accurately aligned with the textual prompt but typically demand expensive computational costs in terms of time and GPU memory, especially when generating high-resolution videos. Latent-based VDMs are more resource... | 3,182 | [
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indigo-ai/BERTino | 2021-09-22T08:51:24.000Z | [
"transformers",
"pytorch",
"tf",
"distilbert",
"fill-mask",
"DISTILbert",
"Italian",
"it",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | indigo-ai | null | null | indigo-ai/BERTino | 13 | 1,072 | transformers | 2022-03-02T23:29:05 | ---
language: it
tags:
- DISTILbert
- Italian
license: mit
widget:
- text: Vado al [MASK] a fare la spesa
- text: Vado al parco a guardare le [MASK]
- text: Il cielo è [MASK] di stelle.
---
# BERTino: an Italian DistilBERT model
This repository hosts BERTino, an Italian DistilBERT model pre-trained by
[indigo.ai](htt... | 2,516 | [
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speechbrain/sepformer-wsj02mix | 2022-07-29T14:23:42.000Z | [
"speechbrain",
"Source Separation",
"Speech Separation",
"Audio Source Separation",
"WSJ02Mix",
"SepFormer",
"Transformer",
"audio-to-audio",
"audio-source-separation",
"en",
"dataset:WSJ0-2Mix",
"arxiv:2010.13154",
"arxiv:2106.04624",
"license:apache-2.0",
"has_space",
"region:us"
] | audio-to-audio | speechbrain | null | null | speechbrain/sepformer-wsj02mix | 35 | 1,072 | speechbrain | 2022-03-02T23:29:05 | ---
language: "en"
thumbnail:
tags:
- Source Separation
- Speech Separation
- Audio Source Separation
- WSJ02Mix
- SepFormer
- Transformer
- audio-to-audio
- audio-source-separation
- speechbrain
license: "apache-2.0"
datasets:
- WSJ0-2Mix
metrics:
- SI-SNRi
- SDRi
---
<iframe src="https://ghbtns.com/github-btn.htm... | 4,152 | [
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timm/resnet26d.bt_in1k | 2023-04-05T18:05:05.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1512.03385",
"arxiv:1812.01187",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnet26d.bt_in1k | 0 | 1,072 | timm | 2023-04-05T18:04:52 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnet26d.bt_in1k
A ResNet-D image classification model.
This model features:
* ReLU activations
* 3-layer stem of 3x3 convolutions with pooling
* 2x2 average pool + 1x1 convolution shortcut downsample
Trained on Im... | 38,514 | [
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iknow-lab/AULM-12.8b-v0 | 2023-08-18T05:29:08.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"dataset:dbdu/ShareGPT-74k-ko",
"dataset:heegyu/korquad-chat-v1",
"dataset:HAERAE-HUB/KoInstruct-QA",
"dataset:changpt/ko-lima-vicuna",
"dataset:nlpai-lab/kullm-v2",
"endpoints_compatible",
"text-... | text-generation | iknow-lab | null | null | iknow-lab/AULM-12.8b-v0 | 1 | 1,072 | transformers | 2023-08-18T04:23:08 | ---
datasets:
- beomi/KoAlpaca-v1.1a
- dbdu/ShareGPT-74k-ko
- heegyu/korquad-chat-v1
- HAERAE-HUB/KoInstruct-QA
- changpt/ko-lima-vicuna
- nlpai-lab/kullm-v2
language:
- ko
---
# iknow-lab/AULM-12.8b-v0
- [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b)를 여러 한국어 instruction 데이터셋으로 학습한 ... | 2,698 | [
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-0.041351318359375,
0.0188751220703125,
0.02008056640625,
-0.03460693359375,
0.00948333740234375,
0.0210723876953125,
-0.0285491943359375,
0.052886962890625,
0.028656005859375,
-0.021453857421875,
-0.034759521484375,
-0.05029296875,
0.003... |
casperhansen/vicuna-7b-v1.5-awq | 2023-10-31T22:08:03.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | casperhansen | null | null | casperhansen/vicuna-7b-v1.5-awq | 4 | 1,072 | transformers | 2023-08-19T19:46:12 | ---
license: llama2
---
To use this model, you must have [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) installed.
```
pip install autoawq
```
Example generation with streaming:
```python
from awq import AutoAWQForCausalLM
from transformers import AutoTokenizer, TextStreamer
quant_path = "casperhansen/vicuna-... | 1,083 | [
[
-0.0222625732421875,
-0.054840087890625,
0.0211181640625,
0.01837158203125,
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0.0234527587890625,
-0.00704193115234375,
0.0170440673828125,
0.022979736328125,
-0.050811767578125,
-0.02825927734375,
-0.04718017578125,
0.0... |
DDSC/roberta-base-danish | 2023-03-22T12:19:08.000Z | [
"transformers",
"pytorch",
"jax",
"tensorboard",
"safetensors",
"roberta",
"fill-mask",
"danish",
"da",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | DDSC | null | null | DDSC/roberta-base-danish | 1 | 1,071 | transformers | 2022-03-02T23:29:05 | ---
language: da
license: cc-by-4.0
tags:
- danish
- roberta
pipeline_tag: fill-mask
widget:
- text: På biblioteket kan du låne en <mask>.
---
# RøBÆRTa - Danish Roberta Base
## Description
RøBÆRTa is a danish pretrained Roberta base model. RøBÆRTa was pretrained on the danish mC4 dataset during the flax community ... | 659 | [
[
-0.0255889892578125,
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0.0154571533203125,
0.0259857177734375,
-0.042572021484375,
-0.04827880859375,
-0.0543212890625,
0.01... |
timm/tf_efficientnet_b3.aa_in1k | 2023-04-27T21:18:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1805.09501",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b3.aa_in1k | 0 | 1,071 | timm | 2022-12-13T00:02:35 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b3.aa_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with auto-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | 4,494 | [
[
-0.02960205078125,
-0.041748046875,
-0.0088043212890625,
0.0075836181640625,
-0.01514434814453125,
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-0.021820068359375,
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0.0245208740234375,
-0.0282745361328125,
-0.043731689453125,
-0.05572509765625,
-0.0... |
timm/vit_base_patch32_224.augreg_in1k | 2023-05-06T00:03:15.000Z | [
"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_patch32_224.augreg_in1k | 0 | 1,071 | timm | 2022-12-22T07:32:24 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_base_patch32_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... | 3,793 | [
[
-0.0386962890625,
-0.0302276611328125,
-0.003604888916015625,
0.006320953369140625,
-0.029632568359375,
-0.02716064453125,
-0.0204315185546875,
-0.033905029296875,
0.013519287109375,
0.02447509765625,
-0.041168212890625,
-0.037811279296875,
-0.048065185546875,
... |
mssongit/Koala-12.8b-v1 | 2023-06-02T06:46:25.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"feature-extraction",
"polyglot-ko",
"gpt-neox",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | feature-extraction | mssongit | null | null | mssongit/Koala-12.8b-v1 | 0 | 1,071 | transformers | 2023-05-26T08:05:35 | ---
license: apache-2.0
datasets:
- beomi/KoAlpaca-v1.1a
language:
- ko
tags:
- polyglot-ko
- gpt-neox
---
This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b)
### Training hyperparameters
The following hyperparameters were used during training... | 634 | [
[
-0.054779052734375,
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0.00969696044921875,
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-0.01316070556640625,
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0.0294189453125,
0.0157318115234375,
-0.047119140625,
-0.0231475830078125,
-0.04229736328125,
0.00... |
timm/convnext_femto.d1_in1k | 2023-03-31T22:04:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_femto.d1_in1k | 0 | 1,070 | timm | 2022-12-13T07:08:14 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_femto.d1_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mo... | 15,630 | [
[
-0.06744384765625,
-0.03314208984375,
-0.0028171539306640625,
0.037139892578125,
-0.031982421875,
-0.01421356201171875,
-0.0106201171875,
-0.033966064453125,
0.06597900390625,
0.018096923828125,
-0.045318603515625,
-0.041473388671875,
-0.051422119140625,
-0.... |
heegyu/polyglot-ko-5.8b-chat | 2023-08-18T05:08:42.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"dataset:dbdu/ShareGPT-74k-ko",
"dataset:heegyu/korquad-chat-v1",
"dataset:HAERAE-HUB/KoInstruct-QA",
"dataset:changpt/ko-lima-vicuna",
"dataset:nlpai-lab/kullm-v2",
"endpoints_compatible",
"text-... | text-generation | heegyu | null | null | heegyu/polyglot-ko-5.8b-chat | 0 | 1,070 | transformers | 2023-08-18T00:24:41 | ---
datasets:
- beomi/KoAlpaca-v1.1a
- dbdu/ShareGPT-74k-ko
- heegyu/korquad-chat-v1
- HAERAE-HUB/KoInstruct-QA
- changpt/ko-lima-vicuna
- nlpai-lab/kullm-v2
language:
- ko
---
# heegyu/polyglot-ko-5.8b-chat
- [EleutherAI/polyglot-ko-5.8b](https://huggingface.co/EleutherAI/polyglot-ko-5.8b)를 여러 한국어 instruction 데이터셋으로 ... | 2,681 | [
[
-0.046173095703125,
-0.04290771484375,
0.021148681640625,
0.0228729248046875,
-0.03515625,
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0.0249786376953125,
-0.0241546630859375,
0.051025390625,
0.027008056640625,
-0.0235137939453125,
-0.03717041015625,
-0.041961669921875,
0.0027160... |
MingZhong/unieval-fact | 2022-10-14T01:10:31.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"arxiv:2210.07197",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | MingZhong | null | null | MingZhong/unieval-fact | 1 | 1,069 | transformers | 2022-10-12T00:11:36 | Pre-trained evaluator in EMNLP 2022 paper
*[Towards a Unified Multi-Dimensional Evaluator for Text Generation](https://arxiv.org/abs/2210.07197)*
## Introduction
**Multi-dimensional evaluation** is the dominant paradigm for human evaluation in Natural Language Generation (NLG), i.e., evaluating the generated text fr... | 1,007 | [
[
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-0.027923583984375,
-0.0189971923828125,
0.0054779052734375,
0.038360595703125,
-0.034637451171875,
-0.045623779296875,
-0.041717529296875,
... |
TheBloke/MLewd-L2-Chat-13B-AWQ | 2023-09-27T12:51:47.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/MLewd-L2-Chat-13B-AWQ | 2 | 1,069 | transformers | 2023-09-19T12:01:21 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
model_name: MLewd L2 Chat 13B
base_model: Undi95/mlewd-l2-chat-13B
inference: false
model_creator: Undi95
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
###... | 12,464 | [
[
-0.037384033203125,
-0.06036376953125,
0.0194854736328125,
0.0114898681640625,
-0.019683837890625,
-0.0090484619140625,
0.004688262939453125,
-0.04119873046875,
-0.002017974853515625,
0.0290374755859375,
-0.054168701171875,
-0.034698486328125,
-0.022354125976562... |
valhalla/bart-large-finetuned-squadv1 | 2021-06-14T10:20:35.000Z | [
"transformers",
"pytorch",
"jax",
"bart",
"question-answering",
"dataset:squad",
"arxiv:1910.13461",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | valhalla | null | null | valhalla/bart-large-finetuned-squadv1 | 4 | 1,068 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- squad
---
# BART-LARGE finetuned on SQuADv1
This is bart-large model finetuned on SQuADv1 dataset for question answering task
## Model details
BART was propsed in the [paper](https://arxiv.org/abs/1910.13461) **BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Transla... | 2,699 | [
[
-0.052154541015625,
-0.07537841796875,
0.0166015625,
0.005695343017578125,
-0.020721435546875,
0.019012451171875,
-0.0218353271484375,
-0.0254669189453125,
0.0286102294921875,
0.0330810546875,
-0.05352783203125,
-0.0306854248046875,
-0.038299560546875,
0.015... |
Owesh12/License-plate-detection | 2023-11-03T19:33:56.000Z | [
"yolov5",
"tensorboard",
"yolo",
"vision",
"object-detection",
"pytorch",
"dataset:keremberke/license-plate-object-detection",
"model-index",
"region:us"
] | object-detection | Owesh12 | null | null | Owesh12/License-plate-detection | 0 | 1,068 | yolov5 | 2023-11-03T19:32:46 |
---
tags:
- yolov5
- yolo
- vision
- object-detection
- pytorch
library_name: yolov5
library_version: 7.0.6
inference: false
datasets:
- keremberke/license-plate-object-detection
model-index:
- name: keremberke/yolov5m-license-plate
results:
- task:
type: object-detection
dataset:
type: kerembe... | 2,082 | [
[
-0.068115234375,
-0.0277252197265625,
0.036163330078125,
-0.0200347900390625,
-0.0281829833984375,
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0.008148193359375,
-0.044036865234375,
0.01006317138671875,
0.024749755859375,
-0.04437255859375,
-0.0572509765625,
-0.0321044921875,
-0.0... |
castorini/wiki-all-8-4-multi-dpr2-passage-encoder | 2023-01-05T19:26:22.000Z | [
"transformers",
"jax",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | feature-extraction | castorini | null | null | castorini/wiki-all-8-4-multi-dpr2-passage-encoder | 0 | 1,067 | transformers | 2023-01-04T02:34:47 | Dense passage retriever (DPR) is a dense retrieval method described in the following paper:
> Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih. [Dense Passage Retrieval for Open-Domain Question Answering](https://www.aclweb.org/anthology/2020.emnlp-main.550/)... | 906 | [
[
-0.038177490234375,
-0.07257080078125,
0.032470703125,
-0.0032138824462890625,
-0.0289154052734375,
0.00334930419921875,
-0.010498046875,
-0.01157379150390625,
-0.0016088485717773438,
0.033172607421875,
-0.025665283203125,
-0.019256591796875,
-0.032257080078125,... |
oliverwang15/FinGPT_v33_Llama2_13B_Sentiment_Instruction_LoRA_FT_8bit | 2023-10-13T03:02:16.000Z | [
"peft",
"region:us"
] | null | oliverwang15 | null | null | oliverwang15/FinGPT_v33_Llama2_13B_Sentiment_Instruction_LoRA_FT_8bit | 10 | 1,067 | peft | 2023-10-12T23:28:12 | ---
library_name: peft
---
# FinGPT_v3.3
## Model info
- Base model: Llama2-13B
- Training method: Instruction Fine-tuning + LoRA + 8bit
- Task: Sentiment Analysis
## Try the model
``` python
from transformers import AutoModel, AutoTokenizer, AutoModelForCausalLM, LlamaForCausalLM, LlamaTokenizerFast
from peft ... | 2,496 | [
[
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-0.0570068359375,
0.019561767578125,
0.0338134765625,
-0.046539306640625,
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-0.01001739501953125,
-0.0166778564453125,
0.0089263916015625,
0.0286865234375,
-0.053558349609375,
-0.0411376953125,
-0.046844482421875,
0.00072... |
microsoft/layoutlm-large-uncased | 2021-08-11T05:28:26.000Z | [
"transformers",
"pytorch",
"tf",
"layoutlm",
"arxiv:1912.13318",
"endpoints_compatible",
"region:us"
] | null | microsoft | null | null | microsoft/layoutlm-large-uncased | 7 | 1,066 | transformers | 2022-03-02T23:29:05 | # LayoutLM
Multimodal (text + layout/format + image) pre-training for document AI
[Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/) | [GitHub](https://aka.ms/layoutlm)
## Model description
LayoutLM is a simple but effective pre-training method of text and layout for document imag... | 1,497 | [
[
-0.0189971923828125,
-0.05108642578125,
0.042449951171875,
0.0197906494140625,
-0.0194549560546875,
-0.00785064697265625,
0.0156402587890625,
-0.0106658935546875,
-0.0052490234375,
0.026947021484375,
-0.03851318359375,
-0.04656982421875,
-0.03839111328125,
-... |
baichuan-inc/Baichuan2-7B-Intermediate-Checkpoints | 2023-10-07T04:32:12.000Z | [
"en",
"zh",
"license:other",
"region:us"
] | null | baichuan-inc | null | null | baichuan-inc/Baichuan2-7B-Intermediate-Checkpoints | 10 | 1,066 | null | 2023-09-05T09:35:23 | ---
language:
- en
- zh
license: other
tasks:
- text-generation
---
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<div align="center">
<h1>
Baichuan 2
</h1>
</div>
<div align="center">
<a href="https://github.com/baichuan-inc/Baichuan2" target="_blank">🦉GitHub</a> | <a href="... | 13,270 | [
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-0.0196990966796875,
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0.020294189453125,
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-0.03558349609375,
-0.037628173828125,
-0.04937744140625,
... |
Helsinki-NLP/opus-mt-ga-en | 2023-08-16T11:37:45.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ga",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-ga-en | 0 | 1,065 | transformers | 2022-03-02T23:29:04 | ---
language:
- ga
- en
tags:
- translation
license: apache-2.0
---
### gle-eng
* source group: Irish
* target group: English
* OPUS readme: [gle-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gle-eng/README.md)
* model: transformer-align
* source language(s): gle
* target language(... | 2,051 | [
[
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0.0224456787109375,
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-0.0236053466796875,
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0.022247314453125,
0.0135345458984375,
-0.04290771484375,
-0.053955078125,
-0.038818359375,
0.... |
bhadresh-savani/distilbert-base-uncased-sentiment-sst2 | 2022-06-15T11:48:33.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"distilbert",
"text-classification",
"en",
"dataset:sst2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | bhadresh-savani | null | null | bhadresh-savani/distilbert-base-uncased-sentiment-sst2 | 0 | 1,065 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- sst2
---
# distilbert-base-uncased-sentiment-sst2
This model will be able to identify positivity or negativity present in the sentence
## Dataset:
The Stanford Sentiment Treebank from GLUE
## Results:
```
***** eval metrics *****
epoch = 3.0
... | 557 | [
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0.0023555755615234375,
0.0165557861328125,
0.0262451171875,
0.007793426513671875,
-0.03863525390625,
-0.0465087890625,
-0.059539794921875,
... |
Yntec/HitenDiffusion | 2023-09-23T23:43:10.000Z | [
"diffusers",
"Anime",
"andite",
"text-to-image",
"stable-diffusion",
"stable-diffusion-diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/HitenDiffusion | 1 | 1,065 | diffusers | 2023-09-23T22:43:29 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- andite
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
---
# Hiten Diffusion
andite's Hiten model from https://huggingface.co/LMFResearchSociety/andite-finetunes-backup
Samples and prom... | 726 | [
[
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UCSC-VLAA/ViT-bigG-14-CLIPA-datacomp1B | 2023-10-20T21:52:47.000Z | [
"open_clip",
"clip",
"zero-shot-image-classification",
"dataset:mlfoundations/datacomp_1b",
"arxiv:2306.15658",
"arxiv:2305.07017",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | UCSC-VLAA | null | null | UCSC-VLAA/ViT-bigG-14-CLIPA-datacomp1B | 1 | 1,065 | open_clip | 2023-10-20T21:43:50 | ---
tags:
- clip
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: apache-2.0
datasets:
- mlfoundations/datacomp_1b
---
# Model card for ViT-bigG-14-CLIPA-datacomp1B
A CLIPA-v2 model...
## Model Details
- **Model Type:** Contrastive Image-Text, Zero-Shot Image Classification.
- **Original:... | 2,219 | [
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HuggingFaceH4/mistral-7b-sft-beta | 2023-10-26T14:26:06.000Z | [
"transformers",
"pytorch",
"tensorboard",
"mistral",
"text-generation",
"generated_from_trainer",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | HuggingFaceH4 | null | null | HuggingFaceH4/mistral-7b-sft-beta | 7 | 1,065 | transformers | 2023-10-26T13:43:58 | ---
license: mit
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: mistral-7b-sft-beta
results: []
datasets:
- HuggingFaceH4/ultrachat_200k
language:
- en
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
shou... | 3,671 | [
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0.0080566406... |
DMetaSoul/sbert-chinese-general-v2 | 2022-04-04T07:22:23.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"semantic-search",
"chinese",
"endpoints_compatible",
"region:us",
"has_space"
] | sentence-similarity | DMetaSoul | null | null | DMetaSoul/sbert-chinese-general-v2 | 13 | 1,062 | sentence-transformers | 2022-03-25T08:59:33 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- semantic-search
- chinese
---
# DMetaSoul/sbert-chinese-general-v2
此模型基于 [bert-base-chinese](https://huggingface.co/bert-base-chinese) 版本 BERT 模型，在百万级语义相似数据集 [SimCLUE](https://github.com/CLU... | 3,020 | [
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0.0... |
wanglab/medsam-vit-base | 2023-05-03T07:03:04.000Z | [
"transformers",
"pytorch",
"sam",
"mask-generation",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | wanglab | null | null | wanglab/medsam-vit-base | 8 | 1,062 | transformers | 2023-04-29T15:27:55 | ---
license: apache-2.0
---
# Model Card for Segment Anything Model (SAM) - ViT Base (ViT-B) version, fine-tuned for medical image segmentation
<p>
<img src="https://s3.amazonaws.com/moonup/production/uploads/62441d1d9fdefb55a0b7d12c/F1LWM9MXjHJsiAtgBFpDP.png" alt="Model architecture">
<em> Detailed architecture of... | 4,515 | [
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0.03216552734375,
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-0.046905517578125,
-0.01654052734... |
TheBloke/vicuna-13B-v1.5-AWQ | 2023-09-27T12:50:21.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2307.09288",
"arxiv:2306.05685",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/vicuna-13B-v1.5-AWQ | 0 | 1,062 | transformers | 2023-09-19T04:22:21 | ---
license: llama2
model_name: Vicuna 13B v1.5
base_model: lmsys/vicuna-13b-v1.5
inference: false
model_creator: lmsys
model_type: llama
prompt_template: 'A chat between a curious user and an artificial intelligence assistant.
The assistant gives helpful, detailed, and polite answers to the user''s questions.
USER... | 12,392 | [
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jphme/em_german_mistral_v01 | 2023-10-12T11:13:24.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"pytorch",
"german",
"deutsch",
"de",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | jphme | null | null | jphme/em_german_mistral_v01 | 11 | 1,062 | transformers | 2023-09-28T09:40:33 | ---
inference: false
language:
- de
library_name: transformers
license: apache-2.0
model_creator: jphme
model_name: EM German
model_type: mistral
pipeline_tag: text-generation
prompt_template: 'Du bist ein hilfreicher Assistent. USER: Was ist 1+1? ASSISTANT:'
tags:
- pytorch
- german
- deutsch
- mistral
---
![EM Logo](... | 9,289 | [
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0.0... |
Raspberry-ai/monse_lora_version_1_2 | 2023-10-17T10:42:23.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"license:creativeml-openrail-m",
"region:us",
"has_space"
] | text-to-image | Raspberry-ai | null | null | Raspberry-ai/monse_lora_version_1_2 | 0 | 1,061 | diffusers | 2023-10-17T04:57:35 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
inference: true
---
# LoRA text2image fine-tuning - julian-raspberry-ai/monse_lora_v2
These are LoRA adaption weights for runwayml/stable-diffusion... | 543 | [
[
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0.0272216796875,
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0.046905517578125,
-0.0609130859375,
-0.028289794921875,
-0.057464599609375,
-0.01... |
stablediffusionapi/animexl-xuebimix | 2023-10-17T09:20:12.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/animexl-xuebimix | 1 | 1,061 | diffusers | 2023-10-17T09:16:24 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# AnimeXL-xuebiMIX API Inference
## Get A... | 2,486 | [
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-0.0635986328125,
-0.0270538330078125,
-0.00014... |
Finnish-NLP/wav2vec2-xlsr-1b-finnish-lm-v2 | 2022-05-26T12:49:05.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"fi",
"finnish",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"dataset:mozilla-foundation/common_voice_7_0",
"arxiv:2111.09296",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"... | automatic-speech-recognition | Finnish-NLP | null | null | Finnish-NLP/wav2vec2-xlsr-1b-finnish-lm-v2 | 1 | 1,060 | transformers | 2022-03-27T18:10:56 | ---
license: apache-2.0
language: fi
metrics:
- wer
- cer
tags:
- automatic-speech-recognition
- fi
- finnish
- generated_from_trainer
- hf-asr-leaderboard
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: wav2vec2-xlsr-1b-finnish-lm-v2
results:
- task:
name: Automatic... | 16,676 | [
[
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-0.... |
timm/vit_medium_patch16_gap_240.sw_in12k | 2023-05-06T00:26:35.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_medium_patch16_gap_240.sw_in12k | 0 | 1,059 | timm | 2022-12-01T01:48:18 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for vit_medium_patch16_gap_240.sw_in12k
A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the architecture with token global average pooling. Trained on I... | 3,622 | [
[
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-0.0310821533203125,
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0.02001953125,
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-0.04595947265625,
-0.05047607421875,
-0.00... |
jonatasgrosman/wav2vec2-large-xlsr-53-hungarian | 2022-12-14T01:57:43.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"hu",
"dataset:common_voice",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | jonatasgrosman | null | null | jonatasgrosman/wav2vec2-large-xlsr-53-hungarian | 2 | 1,058 | transformers | 2022-03-02T23:29:05 | ---
language: hu
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 Hungarian by Jonatas Grosman
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | 7,559 | [
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0.02880859375,
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-0.001... |
rinna/youri-7b | 2023-10-31T00:14:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ja",
"en",
"dataset:mc4",
"dataset:wikipedia",
"dataset:EleutherAI/pile",
"dataset:oscar-corpus/colossal-oscar-1.0",
"dataset:cc100",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/youri-7b | 12 | 1,057 | transformers | 2023-10-30T15:12:17 | ---
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
license: llama2
datasets:
- mc4
- wikipedia
- EleutherAI/pile
- oscar-corpus/colossal-oscar-1.0
- cc100
language:
- ja
- en
inference: false
---
# `rinna/youri-7b`
# Overview
We conduct continual pre... | 4,919 | [
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0.013... |
deepset/gelectra-base-germanquad-distilled | 2023-05-05T06:58:40.000Z | [
"transformers",
"pytorch",
"safetensors",
"electra",
"question-answering",
"exbert",
"de",
"dataset:deepset/germanquad",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | deepset | null | null | deepset/gelectra-base-germanquad-distilled | 3 | 1,056 | transformers | 2022-03-02T23:29:05 | ---
language: de
datasets:
- deepset/germanquad
license: mit
thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
tags:
- exbert
---
... | 3,233 | [
[
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0.0274810791015625,
-0.0487060546875,
-0.0572509765625,
-0.0201263427734... |
EleutherAI/pythia-12b-deduped-v0 | 2023-03-29T18:48:21.000Z | [
"transformers",
"pytorch",
"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",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/pythia-12b-deduped-v0 | 26 | 1,055 | transformers | 2022-10-18T03:09:06 | ---
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... | 11,883 | [
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-0.03570556640625,... |
Lykon/NeverEnding-Dream | 2023-05-11T23:43:42.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"art",
"artistic",
"en",
"license:other",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Lykon | null | null | Lykon/NeverEnding-Dream | 159 | 1,055 | diffusers | 2023-02-19T17:54:51 | ---
language:
- en
license: other
tags:
- stable-diffusion
- text-to-image
- art
- artistic
- diffusers
inference: false
---
# NeverEnding Dream (NED)
## Official Repository
Read more about this model here: https://civitai.com/models/10028/neverending-dream-ned
Also please support by giving 5 stars and a heart, which... | 992 | [
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heegyu/polyglot-ko-3.8b-chat | 2023-09-20T01:09:40.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"dataset:dbdu/ShareGPT-74k-ko",
"dataset:heegyu/korquad-chat-v1",
"dataset:HAERAE-HUB/KoInstruct-QA",
"dataset:changpt/ko-lima-vicuna",
"dataset:nlpai-lab/kullm-v2",
"endpoints_comp... | text-generation | heegyu | null | null | heegyu/polyglot-ko-3.8b-chat | 0 | 1,055 | transformers | 2023-08-21T04:09:50 | ---
datasets:
- beomi/KoAlpaca-v1.1a
- dbdu/ShareGPT-74k-ko
- heegyu/korquad-chat-v1
- HAERAE-HUB/KoInstruct-QA
- changpt/ko-lima-vicuna
- nlpai-lab/kullm-v2
language:
- ko
---
# heegyu/polyglot-ko-3.8b-chat
- [EleutherAI/polyglot-ko-3.8b](https://huggingface.co/EleutherAI/polyglot-ko-3.8b)를 여러 한국어 instruction 데이터셋으로 ... | 3,349 | [
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0.01115417480... |
digiplay/Pika_v1 | 2023-07-09T06:44:58.000Z | [
"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/Pika_v1 | 2 | 1,054 | diffusers | 2023-06-22T13:13:29 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/47067?modelVersionId=51650
Original Author's DEMO images :
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e5f65d46-539f-4b71-cfe0-748300ded200/31490.jp... | 427 | [
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0.0014190673828125,
-0.... |
Norod78/SDXL-VintageMagStyle-Lora | 2023-09-19T16:32:02.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"stable-diffusion",
"lora",
"en",
"license:mit",
"has_space",
"region:us"
] | text-to-image | Norod78 | null | null | Norod78/SDXL-VintageMagStyle-Lora | 8 | 1,053 | diffusers | 2023-09-06T12:17:31 | ---
license: mit
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: VintageMagStyle
tags:
- text-to-image
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- stable-diffusion
- lora
- diffusers
widget:
- text: A pulp cover poster featuring dora the explorer VintageMagStyle
- text: Wonderwoman Vin... | 1,702 | [
[
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0.06494140625,
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-0.05487060546875,
-0.035003662109375,
0.019760131... |
Yntec/GoodLife | 2023-09-10T01:49:46.000Z | [
"diffusers",
"Anime",
"Children",
"Book Illustrations",
"3D",
"Pixar",
"Clumsy_Trainer",
"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/GoodLife | 1 | 1,052 | diffusers | 2023-09-09T20:04:11 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Children
- Book Illustrations
- 3D
- Pixar
- Clumsy_Trainer
- DucHaiten
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# Good Life
DucHaiten-GoldLife merged wit... | 1,957 | [
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-0.041168212890625,
... |
OFA-Sys/chinese-clip-vit-huge-patch14 | 2022-12-09T06:11:22.000Z | [
"transformers",
"pytorch",
"chinese_clip",
"zero-shot-image-classification",
"vision",
"arxiv:2211.01335",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-image-classification | OFA-Sys | null | null | OFA-Sys/chinese-clip-vit-huge-patch14 | 12 | 1,050 | transformers | 2022-11-09T09:45:11 | ---
tags:
- vision
widget:
- src: https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16/resolve/main/festival.jpg
candidate_labels: 灯笼, 鞭炮, 对联
example_title: festival
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: 音乐表演, 体育运动
example_title: cat... | 7,630 | [
[
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0.03302001953125,
0.0002574920654296875,
-0.060333251953125,
-0.024566650390625,
-0.04104614257... |
timm/tf_efficientnetv2_m.in1k | 2023-04-27T21:43:50.000Z | [
"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_m.in1k | 0 | 1,050 | timm | 2022-12-13T00:17:33 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_m.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 Type... | 4,070 | [
[
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0.02874755859375,
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-... |
lanwuwei/GigaBERT-v3-Arabic-and-English | 2023-01-08T00:59:27.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"en",
"ar",
"multilingual",
"dataset:gigaword",
"dataset:oscar",
"dataset:wikipedia",
"endpoints_compatible",
"region:us"
] | feature-extraction | lanwuwei | null | null | lanwuwei/GigaBERT-v3-Arabic-and-English | 0 | 1,049 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
- ar
- multilingual
datasets:
- gigaword
- oscar
- wikipedia
---
## GigaBERT-v3
GigaBERT-v3 is a customized bilingual BERT for English and Arabic. It was pre-trained in a large-scale corpus (Gigaword+Oscar+Wikipedia) with ~10B tokens, showing state-of-the-art zero-shot transfer performance from Engl... | 1,101 | [
[
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0.019317626953125,
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-0.0372314453125,
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0.004940... |
digio/Twitter4SSE | 2021-12-17T09:01:29.000Z | [
"transformers",
"pytorch",
"roberta",
"feature-extraction",
"Pytorch",
"Sentence Transformers",
"Transformers",
"sentence-similarity",
"en",
"arxiv:2110.02030",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | digio | null | null | digio/Twitter4SSE | 5 | 1,048 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
pipeline_tag: sentence-similarity
tags:
- Pytorch
- Sentence Transformers
- Transformers
license: "apache-2.0"
---
# Twitter4SSE
This model maps texts to 768 dimensional dense embeddings that encode semantic similarity.
It was trained with Multiple Negatives Ranking Loss (MNRL) on a Twitter dat... | 1,965 | [
[
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-0.055145263671875,
-0.044891357421875,
0.021... |
valhalla/t5-small-qg-hl | 2021-06-23T14:43:48.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"question-generation",
"dataset:squad",
"arxiv:1910.10683",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | valhalla | null | null | valhalla/t5-small-qg-hl | 1 | 1,048 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- squad
tags:
- question-generation
widget:
- text: "<hl> 42 <hl> is the answer to life, the universe and everything. </s>"
- text: "Python is a programming language. It is developed by <hl> Guido Van Rossum <hl>. </s>"
- text: "Simple is better than <hl> complex <hl>. </s>"
license: mit
---
## T5 for qu... | 1,367 | [
[
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0.0280609130859375,
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0.01045989990234375,
0.037109375,
-0.0732421875,
-0.016510009765625,
-0.005191802978515625,
0.0... |
timm/eva_large_patch14_196.in22k_ft_in1k | 2023-03-31T06:11:02.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2211.07636",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva_large_patch14_196.in22k_ft_in1k | 0 | 1,048 | timm | 2022-12-22T07:05:00 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for eva_large_patch14_196.in22k_ft_in1k
An EVA image classification model. Pretrained on ImageNet-22k with masked image modeling (using EVA-CLIP as a MIM teacher) and fine-tuned on ImageNet-1k... | 4,997 | [
[
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0.044403076171875,
0.03271484375,
-0.036041259765625,
-0.053985595703125,
-0.052734375,
0.00414657... |
Tanrei/GPTSAN-japanese | 2023-04-21T19:04:49.000Z | [
"transformers",
"pytorch",
"safetensors",
"gptsan-japanese",
"text2text-generation",
"text-generation",
"ja",
"arxiv:1910.10683",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | Tanrei | null | null | Tanrei/GPTSAN-japanese | 9 | 1,048 | transformers | 2023-01-06T05:41:12 | ---
license: mit
language:
- ja
pipeline_tag: text-generation
---
# Model Card for Tanrei/GPTSAN-japanese
General-purpose Swich transformer based Japanese language model
GPTSAN has some unique features. It has a model structure of... | 4,748 | [
[
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0.022216796875,
0.022430419921875,
-0.03729248046875,
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-0.023223876953125,
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0.015228271484375,
0.01258087158203125,
-0.0548095703125,
-0.039581298828125,
-0.04888916015625,
0.0... |
google/owlv2-large-patch14 | 2023-10-23T09:17:00.000Z | [
"transformers",
"pytorch",
"owlv2",
"zero-shot-object-detection",
"vision",
"object-detection",
"arxiv:2306.09683",
"license:apache-2.0",
"region:us"
] | object-detection | google | null | null | google/owlv2-large-patch14 | 0 | 1,048 | transformers | 2023-10-13T10:57:17 | ---
license: apache-2.0
tags:
- vision
- object-detection
inference: false
---
# Model Card: OWLv2
## Model Details
The OWLv2 model (short for Open-World Localization) was proposed in [Scaling Open-Vocabulary Object Detection](https://arxiv.org/abs/2306.09683) by Matthias Minderer, Alexey Gritsenko, Neil Houlsby. OW... | 4,810 | [
[
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0.0025997161865234375,
0.03155517578125,
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-0.048004150390625,
-0.0479736328125,
0.01... |
facebook/xglm-2.9B | 2023-01-24T16:35:40.000Z | [
"transformers",
"pytorch",
"xglm",
"text-generation",
"multilingual",
"en",
"ru",
"zh",
"de",
"es",
"fr",
"ja",
"it",
"pt",
"el",
"ko",
"fi",
"id",
"tr",
"ar",
"vi",
"th",
"bg",
"ca",
"hi",
"et",
"bn",
"ta",
"ur",
"sw",
"te",
"eu",
"my",
"ht",
"qu"... | text-generation | facebook | null | null | facebook/xglm-2.9B | 7 | 1,047 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- en
- ru
- zh
- de
- es
- fr
- ja
- it
- pt
- el
- ko
- fi
- id
- tr
- ar
- vi
- th
- bg
- ca
- hi
- et
- bn
- ta
- ur
- sw
- te
- eu
- my
- ht
- qu
license: mit
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
inference: false
---
# XGLM-2.9B
XGLM-2.9B is a multilingual a... | 7,585 | [
[
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0.00974273681640625,
-0.040069580078125,
-0.056610107421875,
-0.037017822265625,
... |
bigcode/octocoder | 2023-08-17T18:06:53.000Z | [
"transformers",
"pytorch",
"safetensors",
"code",
"text-generation",
"dataset:bigcode/commitpackft",
"dataset:bigcode/oasst-octopack",
"arxiv:2308.07124",
"license:bigcode-openrail-m",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | bigcode | null | null | bigcode/octocoder | 54 | 1,047 | transformers | 2023-07-23T19:03:41 | ---
pipeline_tag: text-generation
inference: true
widget:
- text: 'Question: Please write a function in Python that performs bubble sort.\n\nAnswer:'
example_title: Bubble sort
group: Python
license: bigcode-openrail-m
datasets:
- bigcode/commitpackft
- bigcode/oasst-octopack
metrics:
- code_eval
library_name: tran... | 8,339 | [
[
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-0.05731201171875,
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0.01090240478515625,
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0.0002620220184326172,
0.03564453125,
-0.02227783203125,
-0.038055419921875,
-0.0499267578125,
... |
IUseAMouse/PointConImageModel | 2023-10-20T14:04:37.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dataset:IUseAMouse/PointConImages",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | IUseAMouse | null | null | IUseAMouse/PointConImageModel | 0 | 1,047 | diffusers | 2023-10-20T13:41:44 |
---
license: creativeml-openrail-m
base_model: CompVis/stable-diffusion-v1-4
datasets:
- IUseAMouse/PointConImages
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Text-to-image finetuning - IUseAMouse/PointConImageModel
This pipeline was finetuned from **Co... | 1,295 | [
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Ahmed9275/Vit-Cifar100 | 2022-05-19T01:26:45.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:cifar100",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | Ahmed9275 | null | null | Ahmed9275/Vit-Cifar100 | 2 | 1,046 | transformers | 2022-05-18T22:16:08 | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
datasets:
- cifar100
metrics:
- accuracy
model-index:
- name: vit-base-beans-demo-v5
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: Cifar100
type: cifar100
args: cif... | 1,871 | [
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0.0247802734375,
-0.039031982421875,
-0.03948974609375,
-0.0526123046875,
-0.0202178... |
Fictiverse/Stable_Diffusion_PaperCut_Model | 2023-05-07T08:22:26.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Fictiverse | null | null | Fictiverse/Stable_Diffusion_PaperCut_Model | 360 | 1,046 | diffusers | 2022-11-08T12:23:08 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
# 🧩 Paper Cut model V1
This is the fine-tuned Stable Diffusion model trained on Paper Cut images.
Use **PaperCut** in your prompts.
### Sample images:
![PaperCut.jpg](https://s3.amazonaws.com/moonup/production/uploads/1667910351389-635749860725c2f190a76e... | 1,606 | [
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0.048126220703125,
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-0.0343017578125,
-0.05792236328125,
... |
selfrag/selfrag_llama2_7b | 2023-10-22T17:47:59.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2310.11511",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | selfrag | null | null | selfrag/selfrag_llama2_7b | 34 | 1,046 | transformers | 2023-10-18T00:12:34 | ---
license: mit
---
This model is a 7B [Self-RAG](https://selfrag.github.io/) model that generates outputs to diverse user queries as well as *reflection tokens* to call the retrieval system adaptively and criticize its own output and retrieved passages.
Self-RAG is trained on our instruction-following corpora with... | 4,355 | [
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0.0273284912109375,
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-0.031585693359375,
-0.034820556640625,
0.014... |
PlanTL-GOB-ES/bsc-bio-es | 2022-11-15T15:14:27.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"biomedical",
"clinical",
"spanish",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | PlanTL-GOB-ES | null | null | PlanTL-GOB-ES/bsc-bio-es | 2 | 1,042 | transformers | 2022-04-08T13:15:24 | ---
language:
- es
tags:
- biomedical
- clinical
- spanish
license: apache-2.0
metrics:
- ppl
widget:
- text: "El único antecedente personal a reseñar era la <mask> arterial."
- text: "Las radiologías óseas de cuerpo entero no detectan alteraciones <mask>, ni alteraciones vertebrales."
- text: "En el <mask> toraco-a... | 14,152 | [
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0.0308380126953125,
-0.0269775390625,
-0.057220458984375,
-0.058929443359375,
0.03... |
microsoft/git-base-vqav2 | 2023-01-24T17:21:03.000Z | [
"transformers",
"pytorch",
"git",
"text-generation",
"vision",
"visual-question-answering",
"en",
"arxiv:2205.14100",
"license:mit",
"has_space",
"region:us"
] | visual-question-answering | microsoft | null | null | microsoft/git-base-vqav2 | 3 | 1,042 | transformers | 2022-12-06T11:02:00 | ---
language: en
license: mit
tags:
- vision
model_name: microsoft/git-base-vqav2
inference: false
pipeline_tag: visual-question-answering
---
# GIT (GenerativeImage2Text), base-sized, fine-tuned on VQAv2
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on VQAv2. It was introduced in the pap... | 3,226 | [
[
-0.04620361328125,
-0.055511474609375,
0.01483917236328125,
-0.013885498046875,
-0.034759521484375,
-0.0035152435302734375,
-0.004138946533203125,
-0.033966064453125,
0.016571044921875,
0.0335693359375,
-0.050079345703125,
-0.025848388671875,
-0.061431884765625,... |
svalabs/infoxlm-german-question-answering | 2022-10-05T09:20:54.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"question-answering",
"qa",
"de",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | svalabs | null | null | svalabs/infoxlm-german-question-answering | 2 | 1,041 | transformers | 2022-10-05T06:25:08 | ---
license: cc-by-4.0
language:
- de
task_categories:
- question-answering
tags:
- question-answering
- pytorch
- qa
- de
---
# SVALabs - InfoXLM German QA
In this repository we present our german question answering model.
The trained model is based on [InfoXLM-large](https://huggingface.co/microsoft/infoxlm-large... | 987 | [
[
-0.033538818359375,
-0.053314208984375,
0.0297393798828125,
0.032501220703125,
-0.0278472900390625,
0.0093841552734375,
0.02587890625,
-0.01953125,
0.003391265869140625,
0.035247802734375,
-0.055084228515625,
-0.05487060546875,
-0.0189971923828125,
-0.000405... |
timm/efficientnet_es.ra_in1k | 2023-04-27T21:12:10.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2003.02838",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_es.ra_in1k | 0 | 1,040 | timm | 2022-12-12T23:58:07 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_es.ra_in1k
A EfficientNet-EdgeTPU image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Ins... | 5,015 | [
[
-0.031524658203125,
-0.040191650390625,
-0.00815582275390625,
0.003520965576171875,
-0.016754150390625,
-0.032745361328125,
-0.02069091796875,
-0.02850341796875,
0.0192718505859375,
0.026336669921875,
-0.0318603515625,
-0.0433349609375,
-0.054351806640625,
-... |
aubmindlab/aragpt2-base | 2023-10-30T13:53:25.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"ar",
"dataset:wikipedia",
"dataset:Osian",
"dataset:1.5B-Arabic-Corpus",
"dataset:oscar-arabic-unshuffled",
"dataset:Assafir(private)",
"arxiv:2012.15520",
"endpoints_compatible",
"has_s... | text-generation | aubmindlab | null | null | aubmindlab/aragpt2-base | 15 | 1,039 | transformers | 2022-03-02T23:29:05 | ---
language: ar
datasets:
- wikipedia
- Osian
- 1.5B-Arabic-Corpus
- oscar-arabic-unshuffled
- Assafir(private)
widget:
- text: "يحكى أن مزارعا مخادعا قام ببيع بئر الماء الموجود في أرضه لجاره مقابل مبلغ كبير من المال"
- text: "القدس مدينة تاريخية، بناها الكنعانيون في"
- text: "كان يا ما كان في قديم الزمان"
---
# A... | 7,223 | [
[
-0.04412841796875,
-0.050628662109375,
0.0177001953125,
-0.0028018951416015625,
-0.02264404296875,
-0.004425048828125,
-0.015960693359375,
-0.03387451171875,
-0.00058746337890625,
0.01226806640625,
-0.03680419921875,
-0.03619384765625,
-0.0645751953125,
-0.0... |
google/bigbird-pegasus-large-pubmed | 2023-01-24T16:36:47.000Z | [
"transformers",
"pytorch",
"bigbird_pegasus",
"text2text-generation",
"summarization",
"en",
"dataset:scientific_papers",
"arxiv:2007.14062",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | google | null | null | google/bigbird-pegasus-large-pubmed | 30 | 1,039 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- scientific_papers
tags:
- summarization
model-index:
- name: google/bigbird-pegasus-large-pubmed
results:
- task:
type: summarization
name: Summarization
dataset:
name: scientific_papers
type: scientific_papers
config: pubmed
s... | 4,352 | [
[
-0.0287933349609375,
-0.040252685546875,
0.01239776611328125,
0.023345947265625,
-0.0081634521484375,
-0.0261383056640625,
-0.030242919921875,
-0.040313720703125,
0.032073974609375,
0.01056671142578125,
-0.049285888671875,
-0.01458740234375,
-0.054534912109375,
... |
stablediffusionapi/meinamix | 2023-04-28T10:03:16.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/meinamix | 3 | 1,039 | diffusers | 2023-04-28T10:01:26 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# MeinaMix API Inference
## Get API Key... | 2,394 | [
[
-0.035675048828125,
-0.052520751953125,
0.0418701171875,
0.0229949951171875,
-0.031707763671875,
-0.0021839141845703125,
0.0174560546875,
-0.031829833984375,
0.035858154296875,
0.04254150390625,
-0.06219482421875,
-0.07366943359375,
-0.0282745361328125,
-0.0... |
jinaai/jina-embedding-t-en-v1 | 2023-09-10T06:42:12.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"finetuner",
"feature-extraction",
"sentence-similarity",
"en",
"dataset:jinaai/negation-dataset",
"arxiv:2307.11224",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | jinaai | null | null | jinaai/jina-embedding-t-en-v1 | 26 | 1,039 | sentence-transformers | 2023-07-21T15:05:02 | ---
pipeline_tag: sentence-similarity
tags:
- finetuner
- sentence-transformers
- feature-extraction
- sentence-similarity
datasets:
- jinaai/negation-dataset
language: en
license: apache-2.0
---
<br><br>
<p align="center">
<img src="https://github.com/jina-ai/finetuner/blob/main/docs/_static/finetuner-logo... | 5,748 | [
[
-0.05328369140625,
-0.07177734375,
0.02349853515625,
0.0126190185546875,
-0.0183563232421875,
-0.0167694091796875,
-0.0210418701171875,
-0.021728515625,
0.04241943359375,
-0.0018014907836914062,
-0.0340576171875,
-0.037139892578125,
-0.048431396484375,
0.005... |
MirageML/lowpoly-environment | 2023-05-05T21:32:29.000Z | [
"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-environment | 8 | 1,038 | diffusers | 2022-11-28T08:25:58 | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
inference: true
---
# Low Poly Environment on Stable Diffusion via Dreambooth
This the Stable Diffusion model fine-tuned the Low Poly Environment concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying t... | 969 | [
[
-0.044952392578125,
-0.0850830078125,
0.048492431640625,
0.0160675048828125,
-0.01552581787109375,
0.00301361083984375,
-0.008575439453125,
-0.024169921875,
0.0257568359375,
0.04473876953125,
-0.0374755859375,
-0.050384521484375,
-0.01189422607421875,
-0.022... |
osiria/deberta-italian-question-answering | 2023-08-08T02:12:51.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"question-answering",
"it",
"dataset:squad_it",
"arxiv:2111.09543",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | osiria | null | null | osiria/deberta-italian-question-answering | 4 | 1,038 | transformers | 2023-06-01T22:10:12 | ---
license: mit
language:
- it
datasets:
- squad_it
widget:
- text: Quale libro fu scritto da Alessandro Manzoni?
context: Alessandro Manzoni pubblicò la prima versione dei Promessi Sposi nel 1827
- text: In quali competizioni gareggia la Ferrari?
context: La Scuderia Ferrari è una squadra corse italiana di Formul... | 6,030 | [
[
-0.031768798828125,
-0.0826416015625,
0.0287933349609375,
0.0238494873046875,
-0.00965118408203125,
-0.00220489501953125,
0.002063751220703125,
-0.036651611328125,
0.013824462890625,
0.00637054443359375,
-0.0714111328125,
-0.0222015380859375,
-0.038909912109375,... |
showlab/show-1-sr2 | 2023-10-12T05:23:35.000Z | [
"diffusers",
"text-to-video",
"arxiv:2309.15818",
"license:cc-by-nc-4.0",
"diffusers:VideoToVideoSDPipeline",
"region:us",
"has_space"
] | text-to-video | showlab | null | null | showlab/show-1-sr2 | 5 | 1,038 | diffusers | 2023-10-10T17:08:54 | ---
license: cc-by-nc-4.0
tags:
- text-to-video
---
# show-1-sr2
Pixel-based VDMs can generate motion accurately aligned with the textual prompt but typically demand expensive computational costs in terms of time and GPU memory, especially when generating high-resolution videos. Latent-based VDMs are more resource... | 3,151 | [
[
-0.032623291015625,
-0.06622314453125,
0.038848876953125,
0.006378173828125,
-0.0289459228515625,
-0.0295867919921875,
0.0035552978515625,
0.0027256011962890625,
0.0029144287109375,
0.015472412109375,
-0.05609130859375,
-0.032928466796875,
-0.061614990234375,
... |
valhalla/t5-small-e2e-qg | 2021-07-30T13:10:33.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"question-generation",
"dataset:squad",
"arxiv:1910.10683",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | valhalla | null | null | valhalla/t5-small-e2e-qg | 6 | 1,037 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- squad
tags:
- question-generation
widget:
- text: "Python is developed by Guido Van Rossum and released in 1991. </s>"
license: mit
---
## T5 for question-generation
This is [t5-small](https://arxiv.org/abs/1910.10683) model trained for end-to-end question generation task. Simply input the text and the... | 1,277 | [
[
-0.0350341796875,
-0.07464599609375,
0.0307769775390625,
0.0054168701171875,
0.00051116943359375,
-0.01270294189453125,
0.004947662353515625,
-0.01922607421875,
-0.0081634521484375,
0.04022216796875,
-0.05413818359375,
-0.01708984375,
-0.01415252685546875,
0... |
stablediffusionapi/epicrealism | 2023-07-12T11:56:42.000Z | [
"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/epicrealism | 1 | 1,037 | diffusers | 2023-05-31T13:46:10 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# epiCRealism V1 API Inference
## Get API Key
Get API ke... | 2,443 | [
[
-0.033416748046875,
-0.061920166015625,
0.03729248046875,
0.0187835693359375,
-0.031646728515625,
0.01262664794921875,
0.02325439453125,
-0.0330810546875,
0.048004150390625,
0.04986572265625,
-0.05072021484375,
-0.0650634765625,
-0.02728271484375,
0.00080347... |
Dr-BERT/DrBERT-4GB | 2023-05-28T17:38:07.000Z | [
"transformers",
"pytorch",
"tensorboard",
"camembert",
"fill-mask",
"medical",
"chemistry",
"biomedical",
"life science",
"fr",
"dataset:Dr-BERT/NACHOS",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Dr-BERT | null | null | Dr-BERT/DrBERT-4GB | 1 | 1,036 | transformers | 2022-12-25T19:21:28 | ---
license: apache-2.0
datasets:
- Dr-BERT/NACHOS
language:
- fr
library_name: transformers
tags:
- medical
- chemistry
- biomedical
- life science
---
<p align="center">
<img src="https://github.com/qanastek/DrBERT/blob/main/assets/logo.png?raw=true" alt="drawing" width="250"/>
</p>
# DrBERT: A Robust Pre-trained... | 7,252 | [
[
-0.03326416015625,
-0.04339599609375,
0.0218505859375,
0.017333984375,
-0.0160064697265625,
0.01035308837890625,
-0.01019287109375,
-0.02655029296875,
0.03521728515625,
0.032073974609375,
-0.046173095703125,
-0.0328369140625,
-0.06927490234375,
0.00416946411... |
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