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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
shibing624/text2vec-bge-large-chinese | 2023-09-04T09:34:23.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"text2vec",
"sentence-similarity",
"zh",
"dataset:https://huggingface.co/datasets/shibing624/nli-zh-all/tree/main/text2vec-base-chinese-paraphrase-dataset",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | shibing624 | null | null | shibing624/text2vec-bge-large-chinese | 18 | 2,534 | transformers | 2023-09-04T08:11:09 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- text2vec
- feature-extraction
- sentence-similarity
- transformers
datasets:
- https://huggingface.co/datasets/shibing624/nli-zh-all/tree/main/text2vec-base-chinese-paraphrase-dataset
language:
- zh
metrics:
- spearmanr
library_name: transformers
---
# s... | 11,313 | [
[
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0.03167724609375,
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-0.041900634765625,
-0.03948974609375,
0.0159606... |
timm/coatnet_3_rw_224.sw_in12k | 2023-05-10T23:45:40.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coatnet_3_rw_224.sw_in12k | 1 | 2,531 | timm | 2023-01-20T21:25:48 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for coatnet_3_rw_224.sw_in12k
A timm specific CoAtNet image classification model. Trained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) by Ross Wightman.
### Model Variants... | 22,071 | [
[
-0.051971435546875,
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0.0323486328125,
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0.056121826171875,
0.0162200927734375,
-0.041595458984375,
-0.0450439453125,
-0.047454833984375,
... |
allenai/led-large-16384-arxiv | 2023-01-24T16:27:02.000Z | [
"transformers",
"pytorch",
"tf",
"led",
"text2text-generation",
"en",
"dataset:scientific_papers",
"arxiv:2004.05150",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | allenai | null | null | allenai/led-large-16384-arxiv | 22 | 2,530 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- scientific_papers
license: apache-2.0
---
## Introduction
[Allenai's Longformer Encoder-Decoder (LED)](https://github.com/allenai/longformer#longformer).
This is the official *led-large-16384* checkpoint that is fine-tuned on the arXiv dataset.*led-large-16384-arxiv* is the official f... | 34,537 | [
[
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-0.052642822265625,
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0.0230865478515625,
-0.051727294921875,
-0.025177001953125,
-0.0214996337890625,
... |
cactusfriend/nightmare-promptgen-XL | 2023-07-06T22:16:34.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neo",
"text-generation",
"license:openrail",
"endpoints_compatible",
"region:us"
] | text-generation | cactusfriend | null | null | cactusfriend/nightmare-promptgen-XL | 3 | 2,529 | transformers | 2023-06-26T14:07:40 | ---
license: openrail
pipeline_tag: text-generation
library_name: transformers
widget:
- text: "a photograph of"
example_title: "photo"
- text: "a bizarre cg render"
example_title: "render"
- text: "the spaghetti"
example_title: "meal?"
- text: "a (detailed+ intricate)+ picture"
example_title: "weights"
- text:... | 607 | [
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-0.0089111328125,
-0.0015363693237304688,
0.0139999... |
THUDM/codegeex2-6b | 2023-08-09T21:03:10.000Z | [
"transformers",
"pytorch",
"chatglm",
"codegeex",
"glm",
"thudm",
"custom_code",
"zh",
"en",
"arxiv:2303.17568",
"endpoints_compatible",
"has_space",
"region:us"
] | null | THUDM | null | null | THUDM/codegeex2-6b | 211 | 2,527 | transformers | 2023-07-19T08:25:26 | ---
language:
- zh
- en
tags:
- codegeex
- glm
- chatglm
- thudm
---

<p align="center">
🏠 <a href="https://codegeex.cn" target="_blank">Homepage</a>|💻 <a href="https://github.com/THUDM/CodeGeeX2" target="_blank">GitHub</a>|🛠 Tools <a href="https://marketplace.visualstudio.com/i... | 6,694 | [
[
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0.001... |
vaddagonivyshnavi/my-pet-dog | 2023-11-03T12:26:18.000Z | [
"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-dog | 0 | 2,526 | diffusers | 2023-11-03T12:21:23 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by vaddagonivyshnavi following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MRCEW-221
Sample pictures of this concept:

* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
[
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0.03240966796875,
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-0.046295166015625,
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0.0168914... |
Intel/dpt-large-ade | 2022-04-14T08:29:24.000Z | [
"transformers",
"pytorch",
"dpt",
"vision",
"image-segmentation",
"dataset:scene_parse_150",
"arxiv:2103.13413",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | Intel | null | null | Intel/dpt-large-ade | 4 | 2,518 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
- image-segmentation
datasets:
- scene_parse_150
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: htt... | 2,665 | [
[
-0.054779052734375,
-0.057708740234375,
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0.002140045166015625,
-0.0261993408203125,
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0.0087738037109375,
0.0206298828125,
-0.055572509765625,
-0.02337646484375,
-0.04721069335937... |
coppercitylabs/uzbert-base-uncased | 2023-03-21T10:42:12.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"fill-mask",
"uzbert",
"uzbek",
"cyrillic",
"uz",
"dataset:webcrawl",
"arxiv:2108.09814",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | coppercitylabs | null | null | coppercitylabs/uzbert-base-uncased | 4 | 2,516 | transformers | 2022-03-02T23:29:05 | ---
language: uz
tags:
- uzbert
- uzbek
- bert
- cyrillic
license: mit
datasets:
- webcrawl
---
# UzBERT base model (uncased)
Pretrained model on Uzbek language (Cyrillic script) using a masked
language modeling and next sentence prediction objectives.
## How to use
You can use this model directly with a pipeline f... | 2,132 | [
[
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0.031982421875,
-0.05841064453125,
-0.06982421875,
-0.0304107666015625,
-0.00952... |
marianna13/flan-t5-base-summarization | 2023-07-15T09:43:46.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"summarization",
"en",
"dataset:ChristophSchuhmann/gutenberg-wiki-arxiv-pubmed-soda-summaries",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | summarization | marianna13 | null | null | marianna13/flan-t5-base-summarization | 0 | 2,515 | transformers | 2023-07-15T09:03:17 | ---
language:
- en
library_name: transformers
pipeline_tag: summarization
datasets:
- ChristophSchuhmann/gutenberg-wiki-arxiv-pubmed-soda-summaries
---
# Usage
```python
from transformers import pipeline
max_length = 50
min_length = 10
model_id = "marianna13/flan-t5-base-summarization"
summarizer = pipeline("summa... | 1,258 | [
[
-0.027313232421875,
-0.0271148681640625,
0.023956298828125,
0.01806640625,
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0.036224365234375,
0.032806396484375,
-0.039825439453125,
-0.040069580078125,
-0.06390380859375,
0... |
livingbox/incremental-test-01 | 2023-10-30T19:21:50.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | livingbox | null | null | livingbox/incremental-test-01 | 0 | 2,515 | diffusers | 2023-10-30T19:16:49 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Incremental-test-01 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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0.0408935546875,
0.004852294921875,
-0.0347900390625,
-0.0157623291015625,
-0.0236968994140625,
-0.005218... |
Salesforce/blip2-opt-2.7b-coco | 2023-09-13T08:47:06.000Z | [
"transformers",
"pytorch",
"blip-2",
"visual-question-answering",
"vision",
"image-to-text",
"image-captioning",
"en",
"arxiv:2301.12597",
"license:mit",
"has_space",
"region:us"
] | image-to-text | Salesforce | null | null | Salesforce/blip2-opt-2.7b-coco | 5 | 2,514 | transformers | 2023-02-07T15:03:10 | ---
language: en
license: mit
tags:
- vision
- image-to-text
- image-captioning
- visual-question-answering
pipeline_tag: image-to-text
inference: false
---
# BLIP-2, OPT-2.7b, fine-tuned on COCO
BLIP-2 model, leveraging [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large language model with 2.7 billion par... | 3,367 | [
[
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0.052337646484375,
-0.03131103515625,
-0.00720977783203125,
-0.045684814453... |
swl-models/WhiteDistanceMix-v1 | 2023-02-01T07:46:15.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | text-to-image | swl-models | null | null | swl-models/WhiteDistanceMix-v1 | 5 | 2,513 | diffusers | 2023-02-01T06:59:23 | ---
license: cc-by-nc-4.0
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
---
WhiteDistanceMix Ver.1
模型作者:八十八键
发布时间:2023-1-31
模型类型:ckpt | 218 | [
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0.00152... |
OpenMatch/cocodr-large-msmarco | 2023-09-14T19:54:52.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"arxiv:2210.15212",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | OpenMatch | null | null | OpenMatch/cocodr-large-msmarco | 0 | 2,510 | transformers | 2022-10-26T05:54:45 | ---
license: mit
---
This model has been first pretrained on the BEIR corpus and fine-tuned on the MS MARCO dataset following the approach described in the paper **COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning**. The associated GitHub reposito... | 824 | [
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0.0192718505859375,
0.04229736328125,
-0.035369873046875,
-0.048126220703125,
-0.046630859375,
-0.... |
sentence-transformers/msmarco-distilbert-base-dot-prod-v3 | 2022-06-15T22:20:51.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-distilbert-base-dot-prod-v3 | 3 | 2,509 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/msmarco-distilbert-base-dot-prod-v3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dime... | 2,353 | [
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0.0262603759765625,
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0... |
jonathandinu/face-parsing | 2023-03-19T09:39:21.000Z | [
"transformers",
"pytorch",
"safetensors",
"segformer",
"vision",
"image-segmentation",
"nvidia/mit-b5",
"en",
"dataset:celebamaskhq",
"license:cc0-1.0",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | jonathandinu | null | null | jonathandinu/face-parsing | 41 | 2,507 | transformers | 2022-07-06T01:22:42 | ---
language: en
license: cc0-1.0
library_name: transformers
tags:
- vision
- image-segmentation
- nvidia/mit-b5
datasets:
- celebamaskhq
---
## Face Parsing | 158 | [
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0.0151... |
Yntec/Citrus | 2023-09-23T09:23:41.000Z | [
"diffusers",
"anime",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Citrus | 1 | 2,505 | diffusers | 2023-09-23T03:01:26 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anime
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Citrus
A mix from the best of CitrineDreamMix and CetusRemix, with the Splash LoRA and 70% of Add_Detail baked in.
Comparison:
![Comp... | 1,743 | [
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saiteja05/pet-dogs-kst | 2023-11-05T06:25:20.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | saiteja05 | null | null | saiteja05/pet-dogs-kst | 0 | 2,503 | diffusers | 2023-11-05T06:18:31 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### Pet-Dogs-KST Dreambooth model trained by saiteja05 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MITS-563
Sample pictures of this concept:

TimeSformer model pre-trained on [Something Something v2](https://developer.qualcomm.com/software/ai-datasets/something-something). It was introduced in the paper [TimeS... | 2,001 | [
[
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Yntec/SillySymphonies | 2023-10-28T18:42:32.000Z | [
"diffusers",
"Cartoon",
"Illustration",
"Anime",
"s6yx",
"Zovya",
"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/SillySymphonies | 2 | 2,498 | diffusers | 2023-10-27T14:53:36 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Cartoon
- Illustration
- Anime
- s6yx
- Zovya
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# SillySymphonies
ReVAnimated merged with CartoonStyleClassic to bring the best of both models to... | 829 | [
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abertsch/unlimiformer-bart-booksum-alternating | 2023-07-21T14:32:07.000Z | [
"transformers",
"pytorch",
"bart",
"feature-extraction",
"text2text-generation",
"dataset:abertsch/booksum-fullbooks",
"arxiv:2305.01625",
"region:us"
] | text2text-generation | abertsch | null | null | abertsch/unlimiformer-bart-booksum-alternating | 3 | 2,496 | transformers | 2023-05-03T14:42:53 | ---
datasets:
- abertsch/booksum-fullbooks
pipeline_tag: text2text-generation
inference: false
---
Model from the preprint [Unlimiformer: Long-Range Transformers with Unlimited Length Input](https://arxiv.org/abs/2305.01625).
This model was finetuned from a BART-base model using the alternating-training strategy descr... | 657 | [
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-0.01126861572265625,
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0.010... |
pruas/BENT-PubMedBERT-NER-Gene | 2023-01-14T15:34:53.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | token-classification | pruas | null | null | pruas/BENT-PubMedBERT-NER-Gene | 7 | 2,495 | transformers | 2023-01-14T11:52:33 | ---
language:
- en
pipeline_tag: token-classification
---
Named Entity Recognition (NER) model to recognize gene and protein entities.
[PubMedBERT](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) fine-tuned on the following datasets:
- [miRNA-Test-Corpus](https://www.scai.fraun... | 2,464 | [
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consciousAI/question-answering-roberta-base-s-v2 | 2023-03-20T14:19:07.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"question-answering",
"Question Answering",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | consciousAI | null | null | consciousAI/question-answering-roberta-base-s-v2 | 8 | 2,492 | transformers | 2022-11-21T17:53:37 | ---
license: apache-2.0
tags:
- Question Answering
metrics:
- squad
model-index:
- name: consciousAI/question-answering-roberta-base-s-v2
results: []
---
# Question Answering
The model is intended to be used for Q&A task, given the question & context, the model would attempt to infer the answer text, answer span & ... | 2,460 | [
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... |
gowri-39/volley-ball-rgv | 2023-11-04T16:51:59.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | gowri-39 | null | null | gowri-39/volley-ball-rgv | 0 | 2,492 | diffusers | 2023-11-04T16:47:25 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### Volley-Ball-rgv Dreambooth model trained by DSP-31 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MITS-198
Sample pictures of this concept:

config = BertConfig.from_pretrained("thoriqfy/indobert-emoti... | 645 | [
[
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Muennighoff/SGPT-125M-weightedmean-nli-bitfit | 2023-05-31T14:48:58.000Z | [
"sentence-transformers",
"pytorch",
"gpt_neo",
"feature-extraction",
"sentence-similarity",
"mteb",
"arxiv:2202.08904",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | Muennighoff | null | null | Muennighoff/SGPT-125M-weightedmean-nli-bitfit | 1 | 2,484 | sentence-transformers | 2022-03-02T23:29:04 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
model-index:
- name: SGPT-125M-weightedmean-nli-bitfit
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassifica... | 116,262 | [
[
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-0.025970458984375,
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stas/tiny-m2m_100 | 2022-04-29T23:57:25.000Z | [
"transformers",
"pytorch",
"m2m_100",
"text2text-generation",
"testing",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | stas | null | null | stas/tiny-m2m_100 | 0 | 2,484 | transformers | 2022-04-29T23:50:29 | ---
language:
- en
thumbnail:
tags:
- testing
license: apache-2.0
---
# Tiny M2M100 model
This is a tiny model that is used in the `transformers` test suite. It doesn't do anything useful beyond functional testing.
Do not try to use it for anything that requires quality.
The model is indeed 4MB in size.
You can se... | 568 | [
[
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wavymulder/modelshoot | 2023-05-05T21:59:00.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"safetensors",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | wavymulder | null | null | wavymulder/modelshoot | 136 | 2,484 | diffusers | 2022-12-22T20:56:53 | ---
language:
- en
thumbnail: "https://huggingface.co/wavymulder/modelshoot/resolve/main/images/page1.jpg"
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- safetensors
- diffusers
inference: true
---
**Modelshoot Style**
 SQuAD 1.0
2. GermanQuAD: deepset/ge... | 454 | [
[
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facebook/mms-300m | 2023-06-05T10:23:32.000Z | [
"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-300m | 13 | 2,481 | transformers | 2023-05-22T19:38:01 | ---
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... | 3,165 | [
[
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0.0262908935546875,
-0.0810546875,
-0.0231781005859375,
-0.04232788085937... |
Yntec/iComixRemix | 2023-08-09T09:04:37.000Z | [
"diffusers",
"anime",
"art",
"comic",
"lostdog",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/iComixRemix | 0 | 2,480 | diffusers | 2023-08-09T08:36:40 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anime
- art
- comic
- lostdog
---
# iComixRemix
A mix of iCoMix v2 and iCoMix v4.
Preview samples and prompt:
 notebook
Test the concept via A1111... | 508 | [
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-0.0035... |
google/efficientnet-b7 | 2023-02-17T10:08:23.000Z | [
"transformers",
"pytorch",
"efficientnet",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | google | null | null | google/efficientnet-b7 | 5 | 2,478 | transformers | 2023-02-15T23:35:01 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... | 2,697 | [
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0.0178680419921875,
-0.0231781005859375,
-0.018310546875,
-0.058258056640625,
-0.0067176... |
anilrolex/my-pet-dog | 2023-11-04T11:41:44.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | anilrolex | null | null | anilrolex/my-pet-dog | 0 | 2,478 | diffusers | 2023-11-04T11:37:07 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by anilrolex following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:

DRLN model pre-trained on DIV2K (800 images training, augmented... | 9,502 | [
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... |
livingbox/incremental-test-05 | 2023-11-03T05:49:23.000Z | [
"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-05 | 0 | 2,474 | diffusers | 2023-11-03T05:45:33 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Incremental-test-05 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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0.003253936767578125,
-0.03460693359375,
-0.0173797607421875,
-0.0231781005859375,
-0.... |
jonatasgrosman/wav2vec2-large-xlsr-53-greek | 2022-12-14T01:56:48.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"el",
"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-greek | 0 | 2,473 | transformers | 2022-03-02T23:29:05 | ---
language: el
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 Greek by Jonatas Grosman
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
d... | 7,646 | [
[
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-0.043731689453125,
0.00170898437... |
speechbrain/tts-hifigan-libritts-16kHz | 2023-10-10T23:57:14.000Z | [
"speechbrain",
"Vocoder",
"HiFIGAN",
"text-to-speech",
"TTS",
"speech-synthesis",
"en",
"dataset:LibriTTS",
"arxiv:2010.05646",
"license:apache-2.0",
"region:us"
] | text-to-speech | speechbrain | null | null | speechbrain/tts-hifigan-libritts-16kHz | 1 | 2,472 | speechbrain | 2022-10-26T01:43:21 | ---
language: "en"
inference: false
tags:
- Vocoder
- HiFIGAN
- text-to-speech
- TTS
- speech-synthesis
- speechbrain
license: "apache-2.0"
datasets:
- LibriTTS
---
# Vocoder with HiFIGAN trained on LibriTTS
This repository provides all the necessary tools for using a [HiFIGAN](https://arxiv.org/abs/2010.05646) vocod... | 3,983 | [
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Masterjp123/AnythingV5Nijimix | 2023-07-17T09:08:11.000Z | [
"diffusers",
"art",
"en",
"license:creativeml-openrail-m",
"region:us"
] | null | Masterjp123 | null | null | Masterjp123/AnythingV5Nijimix | 0 | 2,470 | diffusers | 2023-07-17T07:18:24 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
tags:
- art
---
A Mix of Anything-v5 with 4 niji jounery style Loras to try to recreate a niji-jounery like style.
****WARNING I HAVE NOT TESTED THIS MODEL AT ALL!****
Citivai link: https://civitai.com/models/110761/anythingv5nijimix | 309 | [
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Yntec/lametta | 2023-09-07T15:58:01.000Z | [
"diffusers",
"Anime",
"Chibi",
"Adorable",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Lasorco",
"Safetensors",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/lametta | 2 | 2,470 | diffusers | 2023-09-06T15:02:07 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Chibi
- Adorable
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- Lasorco
- diffusers
- Safetensors
---
# lametta
lametta v1602 with the MoistMixV2VAE baked in.
Sample and prompts:
 model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clu... | 2,418 | [
[
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-0.0556640625,
-0.037750244140625,
-0.054962158203125,
-0.0080795288... |
cvssp/audioldm-m-full | 2023-09-04T17:54:10.000Z | [
"diffusers",
"arxiv:2301.12503",
"has_space",
"diffusers:AudioLDMPipeline",
"region:us"
] | null | cvssp | null | null | cvssp/audioldm-m-full | 21 | 2,468 | diffusers | 2023-04-25T14:52:28 | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---
# AudioLDM
AudioLDM is a latent text-to-audio diffusion model capable of generating realistic audio samples given any text ... | 4,643 | [
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-0.06597900390625,
-0.038482666015625,
... |
timm/swinv2_cr_tiny_ns_224.sw_in1k | 2023-03-18T03:23:29.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/swinv2_cr_tiny_ns_224.sw_in1k | 0 | 2,467 | timm | 2023-03-18T03:23:12 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for swinv2_cr_tiny_ns_224.sw_in1k
An independent implementation of Swin Transformer V2 released prior to the official code release. A collaboration between [Christoph Reich](https://github.com/Christo... | 4,881 | [
[
-0.03399658203125,
-0.030242919921875,
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0.0302581787109375,
-0.042724609375,
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-0.045928955078125,
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jalandhar-2004/my-project-jld | 2023-11-05T07:50:07.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | jalandhar-2004 | null | null | jalandhar-2004/my-project-jld | 0 | 2,466 | diffusers | 2023-11-05T07:45:29 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Project-jld Dreambooth model trained by jalandhar-2004 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MITS-1178
Sample pictures of this concept:
 model: It maps sentences & paragraphs to a 768 dimens... | 3,162 | [
[
-0.012908935546875,
-0.059967041015625,
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0.03369140625,
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-0.053802490234375,
0.008903503417... |
timm/vit_base_patch32_clip_448.laion2b_ft_in12k_in1k | 2023-05-06T00:04:40.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:laion-2b",
"dataset:imagenet-12k",
"arxiv:2212.07143",
"arxiv:2210.08402",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch32_clip_448.laion2b_ft_in12k_in1k | 1 | 2,462 | timm | 2022-11-05T22:34:21 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- laion-2b
- imagenet-12k
---
# Model card for vit_base_patch32_clip_448.laion2b_ft_in12k_in1k
A Vision Transformer (ViT) image classification model. Pretrained on LAION-2B image-text pairs using OpenCLIP. Fine-tuned... | 5,762 | [
[
-0.0291900634765625,
-0.0269622802734375,
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0.0270538330078125,
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-0.042510986328125,
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... |
bunnychakri/nature-scr | 2023-11-04T15:39:00.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | bunnychakri | null | null | bunnychakri/nature-scr | 0 | 2,462 | diffusers | 2023-11-04T15:34:52 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### Nature-SCR Dreambooth model trained by bunnychakri following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MITS-234
Sample pictures of this concept:
 notebook
Test the concept via A1111 Colab [fast... | 496 | [
[
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-0.... |
Roddaranga/my-favourite-hero-pics | 2023-11-04T10:53:20.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Roddaranga | null | null | Roddaranga/my-favourite-hero-pics | 0 | 2,460 | diffusers | 2023-11-04T10:48:31 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-favourite-hero-pics Dreambooth model trained by Roddaranga following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: CVR-322
Sample pictures of this concept:
 for bringing the classification backbone ... | 4,050 | [
[
-0.041900634765625,
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sentence-transformers/all-MiniLM-L12-v1 | 2021-08-30T20:01:21.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"en",
"arxiv:1904.06472",
"arxiv:2102.07033",
"arxiv:2104.08727",
"arxiv:1704.05179",
"arxiv:1810.09305",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/all-MiniLM-L12-v1 | 4 | 2,457 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
---
# all-MiniLM-L12-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used... | 9,905 | [
[
-0.0255279541015625,
-0.0631103515625,
0.022369384765625,
0.007457733154296875,
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-0.0201568603515625,
-0.0177154541015625,
-0.01959228515625,
0.0257720947265625,
0.01314544677734375,
-0.0391845703125,
-0.041717529296875,
-0.045745849609375,... |
timm/tf_efficientnetv2_b2.in1k | 2023-04-27T21:39:00.000Z | [
"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_b2.in1k | 0 | 2,457 | timm | 2022-12-13T00:14:32 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnetv2_b2.in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Typ... | 4,068 | [
[
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0.029022216796875,
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eevvgg/sentimenTw-political | 2023-01-31T16:54:30.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"text",
"sentiment",
"politics",
"pl",
"en",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | eevvgg | null | null | eevvgg/sentimenTw-political | 0 | 2,454 | transformers | 2023-01-30T12:29:04 | ---
language:
- pl
- en
pipeline_tag: text-classification
widget:
- text: TRUMP needs undecided voters
example_title: example 1
- text: Oczywiście ze Pan Prezydent to nasza duma narodowa!!
example_title: example 2
tags:
- text
- sentiment
- politics
- text-classification
metrics:
- accuracy
- f1
- precision
- recal... | 4,095 | [
[
-0.033843994140625,
-0.061676025390625,
0.0205535888671875,
0.029296875,
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0.0150909423828125,
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-0.0694580078125,
-0.0599365234375,
0.0181579589... |
ifurkan12/trainn | 2023-11-03T20:41:49.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | ifurkan12 | null | null | ifurkan12/trainn | 0 | 2,454 | diffusers | 2023-11-03T20:36:09 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### trainn Dreambooth model trained by ifurkan12 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fas... | 620 | [
[
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0.00537109375,
-0.0209808349609375,
-0.0218505859375,
-0.04638671875,
-0.009979248046875... |
gongati/my-gaming-xzg | 2023-11-05T07:37:17.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | gongati | null | null | gongati/my-gaming-xzg | 0 | 2,454 | diffusers | 2023-11-05T07:32:48 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Gaming-XZG Dreambooth model trained by gongati following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MITS-241
Sample pictures of this concept:
 was proposed in [Scaling Open-Vocabulary Object Detection](https://arxiv.org/abs/2306.09683) by Matthias Minderer, Alexey Gritsenko, Neil Houlsby. OW... | 4,808 | [
[
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0.0139617... |
Yntec/DucHaitenAnime768 | 2023-07-20T03:44:02.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"DucHaiten",
"Anime",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/DucHaitenAnime768 | 0 | 2,452 | diffusers | 2023-07-19T23:09:45 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- DucHaiten
- Anime
---
# DucHaiten Anime
768 version of the fp16 no ema version of this model with the Waifu 1.4 VAE baked in for the inference API.... | 479 | [
[
-0.0305938720703125,
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0.050994873046875,
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-0.0270538330078125,
-0.0210418701171875,
0.0055... |
Harini1208/tiger-gam | 2023-11-05T10:31:30.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Harini1208 | null | null | Harini1208/tiger-gam | 0 | 2,451 | diffusers | 2023-11-05T10:27:11 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### Tiger-GAM Dreambooth model trained by Harini1208 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MITS-1568
Sample pictures of this concept:
** it is meant to be a very simple... | 3,665 | [
[
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0... |
timm/convnext_small.in12k_ft_in1k | 2023-03-31T22:36:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_small.in12k_ft_in1k | 0 | 2,448 | timm | 2023-01-11T22:35:59 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for convnext_small.in12k_ft_in1k
A ConvNeXt image classification model. Pretrained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) and fine-tuned on ImageNet-1k by... | 15,994 | [
[
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-0.0518798828125,
-0.002639... |
Hemanth-711/my-lion-kvh | 2023-11-04T09:28:06.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Hemanth-711 | null | null | Hemanth-711/my-lion-kvh | 0 | 2,448 | diffusers | 2023-11-04T09:23:39 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### my-lion-kvh Dreambooth model trained by Hemanth-711 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
 for the full UniDiffuser-v1 checkpoint for information about... | 343 | [
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s-nlp/roberta_toxicity_classifier_v1 | 2021-11-02T18:36:13.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"arxiv:1911.00536",
"endpoints_compatible",
"region:us"
] | text-classification | s-nlp | null | null | s-nlp/roberta_toxicity_classifier_v1 | 0 | 2,442 | transformers | 2022-03-02T23:29:05 | This model is a clone of [SkolkovoInstitute/roberta_toxicity_classifier](https://huggingface.co/SkolkovoInstitute/roberta_toxicity_classifier) trained on a disjoint dataset.
While `roberta_toxicity_classifier` is used for evaluation of detoxification algorithms, `roberta_toxicity_classifier_v1` can be used within the... | 446 | [
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0.0188140869140625,
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beki/en_spacy_pii_distilbert | 2023-05-06T04:28:34.000Z | [
"spacy",
"distilbert",
"token-classification",
"en",
"dataset:beki/privy",
"model-index",
"has_space",
"region:us"
] | token-classification | beki | null | null | beki/en_spacy_pii_distilbert | 23 | 2,442 | spacy | 2022-10-14T01:58:50 | ---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_spacy_pii_distilbert
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9530385872
- name: NER Recall
type: recall
value: 0.95541... | 1,557 | [
[
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... |
lllyasviel/sd-controlnet-scribble | 2023-04-24T22:30:29.000Z | [
"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-scribble | 34 | 2,442 | diffusers | 2023-02-24T07:11:28 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
- image-to-image
---
# Controlnet - *Scribble Version*
ControlNet is a neural network structure to control diffusion models by adding extra conditions.
This checkpoint corresponds to the ControlNet conditione... | 11,633 | [
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-0.00354... |
stablediffusionapi/icomix-2 | 2023-04-26T19:33:47.000Z | [
"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/icomix-2 | 1 | 2,442 | diffusers | 2023-04-26T19:32:20 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# IcoMix 2 API Inference

## Get API Key
... | 2,395 | [
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0.0242767333984375,
0.03692626953125,
-0.059295654296875,
-0.059814453125,
-0.0310821533203125,
-0.0031... |
timm/maxvit_large_tf_224.in1k | 2023-05-11T00:02:14.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_large_tf_224.in1k | 1 | 2,440 | timm | 2022-12-02T21:51:04 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_large_tf_224.in1k
An official MaxViT image classification model. Trained in tensorflow on ImageNet-1k by paper authors.
Ported from official Tensorflow implementation (https://github.com/g... | 22,114 | [
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facebook/convnextv2-tiny-22k-224 | 2023-09-26T17:19:29.000Z | [
"transformers",
"pytorch",
"tf",
"convnextv2",
"image-classification",
"vision",
"dataset:imagenet-22k",
"arxiv:2301.00808",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | facebook | null | null | facebook/convnextv2-tiny-22k-224 | 1 | 2,436 | transformers | 2023-02-19T07:33:39 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-22k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: http... | 3,374 | [
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-0.043304443359375,
-0.00... |
hustvl/vitmatte-small-distinctions-646 | 2023-09-21T09:25:37.000Z | [
"transformers",
"pytorch",
"vitmatte",
"vision",
"arxiv:2305.15272",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | hustvl | null | null | hustvl/vitmatte-small-distinctions-646 | 0 | 2,434 | transformers | 2023-09-10T08:04:46 | ---
license: apache-2.0
tags:
- vision
---
# ViTMatte model
ViTMatte model trained on Distinctions-646. It was introduced in the paper [ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers](https://arxiv.org/abs/2305.15272) by Yao et al. and first released in [this repository](https://github.com... | 1,718 | [
[
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0.0015554428100585938,
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microsoft/dit-large | 2023-02-27T17:58:01.000Z | [
"transformers",
"pytorch",
"beit",
"dit",
"arxiv:2203.02378",
"region:us"
] | null | microsoft | null | null | microsoft/dit-large | 8 | 2,425 | transformers | 2022-03-07T20:09:02 | ---
tags:
- dit
inference: false
---
# Document Image Transformer (large-sized model)
Document Image Transformer (DiT) model pre-trained on IIT-CDIP (Lewis et al., 2006), a dataset that includes 42 million document images. It was introduced in the paper [DiT: Self-supervised Pre-training for Document Image Transform... | 3,168 | [
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... |
Helsinki-NLP/opus-mt-roa-en | 2023-08-16T12:03:16.000Z | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"it",
"ca",
"rm",
"es",
"ro",
"gl",
"co",
"wa",
"pt",
"oc",
"an",
"id",
"fr",
"ht",
"roa",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_sp... | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-roa-en | 3 | 2,423 | transformers | 2022-03-02T23:29:04 | ---
language:
- it
- ca
- rm
- es
- ro
- gl
- co
- wa
- pt
- oc
- an
- id
- fr
- ht
- roa
- en
tags:
- translation
license: apache-2.0
---
### roa-eng
* source group: Romance languages
* target group: English
* OPUS readme: [roa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/roa-eng/R... | 5,245 | [
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0.02... |
TheBloke/sheep-duck-llama-2-70B-v1.1-GPTQ | 2023-10-01T13:14:05.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/sheep-duck-llama-2-70B-v1.1-GPTQ | 2 | 2,423 | transformers | 2023-10-01T09:32:41 | ---
base_model: Riiid/sheep-duck-llama-2-70b-v1.1
inference: false
license: llama2
model_creator: Riiid
model_name: Sheep Duck Llama 2 70B v1.1
model_type: llama
prompt_template: '### System:
{system_message}
### User:
{prompt}
### Assistant:
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 200... | 17,350 | [
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pritamdeka/S-PubMedBert-MS-MARCO | 2023-07-02T10:52:57.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | pritamdeka | null | null | pritamdeka/S-PubMedBert-MS-MARCO | 18 | 2,422 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# pritamdeka/S-PubMedBert-MS-MARCO
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used fo... | 4,535 | [
[
-0.00986480712890625,
-0.058807373046875,
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-0.04742431640625,
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0.... |
timm/convnext_atto.d2_in1k | 2023-03-31T21:54:40.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_atto.d2_in1k | 0 | 2,422 | timm | 2022-12-13T07:06:09 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_atto.d2_in1k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-1k by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mod... | 15,626 | [
[
-0.065185546875,
-0.032745361328125,
-0.0023593902587890625,
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0.064208984375,
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Yntec/3Danimation | 2023-09-29T13:32:47.000Z | [
"diffusers",
"Anime",
"Disney",
"3D",
"Lykon",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/3Danimation | 5 | 2,420 | diffusers | 2023-09-29T12:47:37 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Disney
- 3D
- Lykon
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
language:
- en
inference: true
---
# 3D Animation Diffusion
Original model page: https://civitai.com/models/118086/3d-a... | 763 | [
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0.035308837890625,
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-0.... |
22h/vintedois-diffusion-v0-2 | 2023-03-11T11:42:22.000Z | [
"diffusers",
"safetensors",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 22h | null | null | 22h/vintedois-diffusion-v0-2 | 77 | 2,419 | diffusers | 2023-03-10T19:43:37 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Vintedois (22h) Diffusion model trained by [Predogl](https://twitter.com/Predogl) and [piEsposito](https://twitter.com/piesposi_to) with open weights, configs and prompts (as it should be)
This model was trained on a large amount of high quality image... | 7,407 | [
[
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-0.03594970703125,
-0.032623291015625,
0.013778... |
Salesforce/codegen2-1B | 2023-07-06T10:47:56.000Z | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"custom_code",
"arxiv:2305.02309",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | Salesforce | null | null | Salesforce/codegen2-1B | 32 | 2,419 | transformers | 2023-04-25T01:42:39 | ---
license: apache-2.0
---
# CodeGen2 (CodeGen2-1B)
## Model description
[CodeGen2](https://github.com/salesforce/CodeGen2) is a family of autoregressive language models for **program synthesis**, introduced in the paper:
[CodeGen2: Lessons for Training LLMs on Programming and Natural Languages](https://arxiv.org/... | 4,421 | [
[
-0.0163726806640625,
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timm/swinv2_base_window8_256.ms_in1k | 2023-03-18T03:29:53.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swinv2_base_window8_256.ms_in1k | 0 | 2,416 | timm | 2023-03-18T03:28:54 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for swinv2_base_window8_256.ms_in1k
A Swin Transformer V2 image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
... | 4,401 | [
[
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kyujinpy/KoT-platypus2-13B | 2023-10-19T13:29:36.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"dataset:kyujinpy/KoCoT_2000",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | kyujinpy | null | null | kyujinpy/KoT-platypus2-13B | 6 | 2,416 | transformers | 2023-10-05T18:16:45 | ---
language:
- ko
datasets:
- kyujinpy/KoCoT_2000
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-sa-4.0
---
**(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다**
**The license is `cc-by-nc-sa-4.0`.**
# **KoT-platypus2**

**CoT + KO-platypus2 = KoT-platypus2**
... | 2,958 | [
[
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0.0... |
TheBloke/Mistral-Trismegistus-7B-AWQ | 2023-10-07T17:16:47.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mistral-7b",
"instruct",
"finetune",
"gpt4",
"synthetic data",
"distillation",
"en",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Mistral-Trismegistus-7B-AWQ | 1 | 2,414 | transformers | 2023-10-07T17:02:28 | ---
base_model: teknium/Mistral-Trismegistus-7B
inference: false
language:
- en
license: apache-2.0
model-index:
- name: Mistral-Trismegistus-7B
results: []
model_creator: Teknium
model_name: Mistral Trismegistus 7B
model_type: mistral
prompt_template: 'USER: {prompt}
ASSISTANT:
'
quantized_by: TheBloke
tags:
-... | 14,299 | [
[
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mesolitica/mistral-7b-32768-fpf | 2023-11-04T11:08:17.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ms",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mesolitica | null | null | mesolitica/mistral-7b-32768-fpf | 0 | 2,412 | transformers | 2023-10-30T03:50:18 | ---
language:
- ms
---
# Full Parameter Finetuning 7B 32768 context length Mistral on Malaysian text
README at https://github.com/mesolitica/malaya/tree/5.1/session/mistral#7b-32768-context-length
WandB, https://wandb.ai/mesolitica/fpf-mistral-7b-hf-32k?workspace=user-husein-mesolitica
```python
from transformers i... | 3,883 | [
[
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0.001007080078125,
-0.0372314453125,
-0.043914794921875,
-0.033538818359375,
0.02215576... |
Gladiator/roberta-large_ner_conll2003 | 2022-12-09T04:24:37.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"generated_from_trainer",
"dataset:conll2003",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Gladiator | null | null | Gladiator/roberta-large_ner_conll2003 | 0 | 2,410 | transformers | 2022-12-09T03:45:56 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-large_ner_conll2003
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args:... | 2,333 | [
[
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-0.0543212890625,
-0.048126220703125,
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-0.0... |
Yntec/aMovieTrend | 2023-09-17T07:35:10.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Ciro_Negrogni",
"MagicArt35",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/aMovieTrend | 1 | 2,409 | diffusers | 2023-09-16T19:50:43 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Ciro_Negrogni
- MagicArt35
---
# A Movie Trend
AmovieX by MagicArt35 with the Photographic Trend LoRA by Ciro_Negrogni baked in. Second version of... | 1,659 | [
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sentence-transformers/paraphrase-albert-base-v2 | 2022-06-15T22:21:37.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"albert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/paraphrase-albert-base-v2 | 3 | 2,408 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/paraphrase-albert-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional de... | 3,705 | [
[
-0.0184783935546875,
-0.05438232421875,
0.026702880859375,
0.032806396484375,
-0.024810791015625,
-0.031341552734375,
-0.0117645263671875,
0.0024871826171875,
0.00936126708984375,
0.04010009765625,
-0.0300445556640625,
-0.03125,
-0.04913330078125,
0.00968933... |
timm/maxvit_xlarge_tf_384.in21k_ft_in1k | 2023-05-11T00:37:29.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_xlarge_tf_384.in21k_ft_in1k | 0 | 2,406 | timm | 2022-12-02T21:58:14 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for maxvit_xlarge_tf_384.in21k_ft_in1k
An official MaxViT image classification model. Pretrained in tensorflow on ImageNet-21k (21843 Google specific instance of ImageNet-22k) and fine... | 22,295 | [
[
-0.05291748046875,
-0.031005859375,
0.0007777214050292969,
0.03045654296875,
-0.024810791015625,
-0.017608642578125,
-0.01070404052734375,
-0.0250091552734375,
0.052642822265625,
0.0164031982421875,
-0.04266357421875,
-0.045745849609375,
-0.047760009765625,
... |
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