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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
kxic/zero123-165000 | 2023-08-02T13:23:11.000Z | [
"diffusers",
"license:mit",
"diffusers:Zero1to3StableDiffusionPipeline",
"region:us"
] | null | kxic | null | null | kxic/zero123-165000 | 1 | 2,220 | diffusers | 2023-07-26T13:29:46 | ---
license: mit
---
Upload zero123 165000.ckpt, converted by diffusers scripts convert_original_stable_diffusion_to_diffusers.py
[Zero123-hf](https://github.com/kxhit/zero123_hf) implemented with diffusers pipelines.
Thanks Original Repo [Zero123](https://github.com/cvlab-columbia/zero123), and [Weights](https://hu... | 356 | [
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macavaney/doc2query-t5-base-msmarco | 2023-05-15T20:14:14.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"retrieval",
"document-expansion",
"translation",
"en",
"dataset:irds:msmarco-passage",
"arxiv:2007.14271",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | translation | macavaney | null | null | macavaney/doc2query-t5-base-msmarco | 2 | 2,216 | transformers | 2022-10-27T18:07:35 | ---
language:
- en
tags:
- retrieval
- document-expansion
- translation
widget:
- text: "The presence of communication amid scientific minds was equally important to the success of the Manhattan Project as scientific intellect was. The only cloud hanging over the impressive achievement of the atomic researchers and eng... | 3,262 | [
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snunlp/KR-ELECTRA-generator | 2022-05-04T06:24:04.000Z | [
"transformers",
"pytorch",
"electra",
"fill-mask",
"ko",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | snunlp | null | null | snunlp/KR-ELECTRA-generator | 1 | 2,214 | transformers | 2022-03-02T23:29:05 | ---
language:
- "ko"
---
## KoRean based ELECTRA (KR-ELECTRA)
This is a release of a Korean-specific ELECTRA model with comparable or better performances developed by the Computational Linguistics Lab at Seoul National University. Our model shows remarkable performances on tasks related to informal texts such as r... | 4,826 | [
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ckiplab/bert-tiny-chinese-ws | 2022-05-10T03:28:12.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"zh",
"license:gpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | ckiplab | null | null | ckiplab/bert-tiny-chinese-ws | 0 | 2,211 | transformers | 2022-05-10T02:54:32 | ---
language:
- zh
thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
- pytorch
- token-classification
- bert
- zh
license: gpl-3.0
---
# CKIP BERT Tiny Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segment... | 1,122 | [
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Jzuluaga/accent-id-commonaccent_ecapa | 2023-07-22T15:20:24.000Z | [
"speechbrain",
"audio-classification",
"embeddings",
"Accent",
"Identification",
"pytorch",
"ECAPA-TDNN",
"TDNN",
"CommonAccent",
"en",
"dataset:CommonVoice",
"arxiv:2305.18283",
"arxiv:2106.04624",
"license:mit",
"region:us"
] | audio-classification | Jzuluaga | null | null | Jzuluaga/accent-id-commonaccent_ecapa | 7 | 2,207 | speechbrain | 2023-01-08T08:07:40 | ---
language:
- en
thumbnail:
tags:
- audio-classification
- speechbrain
- embeddings
- Accent
- Identification
- pytorch
- ECAPA-TDNN
- TDNN
- CommonAccent
license: "mit"
datasets:
- CommonVoice
metrics:
- Accuracy
widget:
- example_title: Africa-English
src: https://huggingface.co/Jzuluaga/accent-id-commonaccent_ec... | 7,889 | [
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0.01... |
s-nlp/roberta-base-formality-ranker | 2023-09-08T08:44:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"text-classification",
"formality",
"en",
"dataset:GYAFC",
"dataset:Pavlick-Tetreault-2016",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | s-nlp | null | null | s-nlp/roberta-base-formality-ranker | 4 | 2,204 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- formality
datasets:
- GYAFC
- Pavlick-Tetreault-2016
license: cc-by-nc-sa-4.0
---
The model has been trained to predict for English sentences, whether they are formal or informal.
Base model: `roberta-base`
Datasets: [GYAFC](https://github.com/raosudha89/GYAFC-corpus) from [Rao and Tetrea... | 2,543 | [
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JorisCos/DPTNet_Libri1Mix_enhsingle_16k | 2021-09-23T15:49:20.000Z | [
"asteroid",
"pytorch",
"audio",
"DPTNet",
"audio-to-audio",
"dataset:Libri1Mix",
"dataset:enh_single",
"license:cc-by-sa-4.0",
"region:us",
"has_space"
] | audio-to-audio | JorisCos | null | null | JorisCos/DPTNet_Libri1Mix_enhsingle_16k | 2 | 2,200 | asteroid | 2022-03-02T23:29:04 | ---
tags:
- asteroid
- audio
- DPTNet
- audio-to-audio
datasets:
- Libri1Mix
- enh_single
license: cc-by-sa-4.0
---
## Asteroid model `JorisCos/DPTNet_Libri1Mix_enhsignle_16k`
Description:
This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
It... | 1,904 | [
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artek0chumak/bloom-560m-safe-peft | 2023-07-12T11:21:52.000Z | [
"peft",
"region:us"
] | null | artek0chumak | null | null | artek0chumak/bloom-560m-safe-peft | 0 | 2,200 | peft | 2023-07-07T08:19:44 | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.4.0.dev0
- PEFT 0.4.0.dev0
- PEFT 0.4.0.dev0
- PEFT 0.4.0.dev0
| 147 | [
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0.056976318359375,
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-0.033782958984375,
0.0335083... |
TheBloke/orca_mini_v3_13B-GPTQ | 2023-09-27T12:45:37.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:psmathur/orca_mini_v1_dataset",
"dataset:ehartford/dolphin",
"arxiv:2306.02707",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/orca_mini_v3_13B-GPTQ | 9 | 2,200 | transformers | 2023-08-10T15:50:29 | ---
language:
- en
license: other
library_name: transformers
datasets:
- psmathur/orca_mini_v1_dataset
- ehartford/dolphin
model_name: Orca Mini v3 13B
base_model: psmathur/orca_mini_v3_13b
inference: false
model_creator: Pankaj Mathur
model_type: llama
pipeline_tag: text-generation
prompt_template: '### System:
You... | 21,140 | [
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Trelis/Llama-2-70b-chat-hf-function-calling-v2 | 2023-11-01T17:27:15.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"codellama",
"functions",
"function calling",
"sharded",
"ggml",
"gptq",
"en",
"arxiv:2307.09288",
"text-generation-inference",
"region:us"
] | text-generation | Trelis | null | null | Trelis/Llama-2-70b-chat-hf-function-calling-v2 | 2 | 2,199 | transformers | 2023-09-04T23:34:58 | ---
language:
- en
pipeline_tag: text-generation
inference: false
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- codellama
- functions
- function calling
- sharded
- ggml
- gptq
extra_gated_prompt: "Access to this model requires the purchase of a license [here](https://buy.stripe.com/8wMdRC1dzci75sA4gy)"
extra_g... | 18,397 | [
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beomi/polyglot-ko-12.8b-safetensors | 2023-05-31T05:22:04.000Z | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"polyglot-ko",
"ko",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | beomi | null | null | beomi/polyglot-ko-12.8b-safetensors | 3 | 2,198 | transformers | 2023-05-31T04:37:09 | ---
license: apache-2.0
language:
- ko
pipeline_tag: text-generation
tags:
- polyglot-ko
---
# beomi/polyglot-ko-12.8b-safetensors (fp16)
Original pytorch weight(fp16): [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/EleutherAI/polyglot-ko-12.8b)
This repo contains converted Polyglot-ko 12.8B Model with
- Saf... | 364 | [
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timm/deit_base_distilled_patch16_384.fb_in1k | 2023-03-28T01:30:41.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2012.12877",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/deit_base_distilled_patch16_384.fb_in1k | 0 | 2,195 | timm | 2023-03-28T01:29:35 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit_base_distilled_patch16_384.fb_in1k
A DeiT image classification model. Trained on ImageNet-1k using distillation tokens by paper authors.
## Model Details
- **Model Type:** Image classificati... | 3,272 | [
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TheBloke/orca_mini_v2_7B-GPTQ | 2023-08-21T01:55:55.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:psmathur/orca_minis_uncensored_dataset",
"arxiv:2306.02707",
"arxiv:2304.12244",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/orca_mini_v2_7B-GPTQ | 20 | 2,191 | transformers | 2023-07-04T08:09:51 | ---
datasets:
- psmathur/orca_minis_uncensored_dataset
inference: false
language:
- en
library_name: transformers
license: other
model_type: llama
pipeline_tag: text-generation
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdld... | 20,348 | [
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iamkaikai/amazing-logos-v3 | 2023-08-22T22:59:08.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dataset:iamkaikai/amazing_logos_v3",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | iamkaikai | null | null | iamkaikai/amazing-logos-v3 | 9 | 2,190 | diffusers | 2023-08-04T03:40:37 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
datasets:
- iamkaikai/amazing_logos_v3
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Text-to-image finetuning - iamkaikai/amazing-logos
This pipeline was finetuned from **runway... | 2,304 | [
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KETI-AIR/ke-t5-base | 2023-09-18T01:24:23.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"en",
"ko",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | KETI-AIR | null | null | KETI-AIR/ke-t5-base | 9 | 2,185 | transformers | 2022-03-02T23:29:04 |
---
language:
- en
- ko
license: apache-2.0
tags:
- t5
eos_token: </s>
widget:
- text: 아버지가 방에 들어가신다.</s>
---
# Model Card for ke-t5-base
# Model Details
## Model Description
The developers of the Text-To-Text Transfer Transformer (T5) [write](https://ai.googleblog.com/2020/02/exploring-transfer-learning-wit... | 8,412 | [
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0.03753662109375,
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0.010... |
fnlp/bart-base-chinese | 2023-09-09T05:16:01.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"Chinese",
"seq2seq",
"BART",
"zh",
"arxiv:2109.05729",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | fnlp | null | null | fnlp/bart-base-chinese | 74 | 2,185 | transformers | 2022-03-02T23:29:05 | ---
tags:
- text2text-generation
- Chinese
- seq2seq
- BART
language: zh
---
# Chinese BART-Base
### News
**12/30/2022**
An updated version of CPT & Chinese BART are released. In the new version, we changed the following parts:
- **Vocabulary** We replace the old BERT vocabulary with a larger one of size 51271 buil... | 3,720 | [
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Aayan2586/ayn-yt2 | 2023-10-14T05:19:11.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Aayan2586 | null | null | Aayan2586/ayn-yt2 | 1 | 2,183 | diffusers | 2023-10-14T05:14:58 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### ayn_yt2 Dreambooth model trained by Aayan2586 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fa... | 498 | [
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tuner007/pegasus_summarizer | 2022-07-28T06:38:07.000Z | [
"transformers",
"pytorch",
"pegasus",
"text2text-generation",
"seq2seq",
"summarization",
"en",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | tuner007 | null | null | tuner007/pegasus_summarizer | 37 | 2,182 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
tags:
- pegasus
- seq2seq
- summarization
model-index:
- name: tuner007/pegasus_summarizer
results:
- task:
type: summarization
name: Summarization
dataset:
name: cnn_dailymail
type: cnn_dailymail
config: 3.0.0
split: train
metrics:
... | 4,901 | [
[
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0.0242156982421875,
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0.005401611328125,
-0.043060302734375,
0.00... |
uer/gpt2-chinese-cluecorpussmall | 2023-10-17T15:21:48.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"zh",
"dataset:CLUECorpusSmall",
"arxiv:1909.05658",
"arxiv:2212.06385",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | uer | null | null | uer/gpt2-chinese-cluecorpussmall | 159 | 2,181 | transformers | 2022-03-02T23:29:05 | ---
language: zh
datasets: CLUECorpusSmall
widget:
- text: "米饭是一种用稻米与水煮成的食物"
---
# Chinese GPT2 Models
## Model description
The set of GPT2 models, except for GPT2-xlarge model, are pre-trained by [UER-py](https://github.com/dbiir/UER-py/), which is introduced in [this paper](https://arxiv.org/abs/1909.05658). T... | 9,288 | [
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livingbox/model-text-oct-14 | 2023-10-16T03:17:49.000Z | [
"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/model-text-oct-14 | 2 | 2,179 | diffusers | 2023-10-16T03:12:51 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### model-text-oct-14 Dreambooth model trained by livingbox with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111... | 508 | [
[
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0.026763916015625,
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0.009063720703125,
-0.0243072509765625,
-0.0218963623046875,
-0.027618408203125,
-0.004783630... |
4bit/Qwen-VL-Chat-Int4 | 2023-09-07T04:10:08.000Z | [
"transformers",
"safetensors",
"qwen",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2308.12966",
"region:us"
] | text-generation | 4bit | null | null | 4bit/Qwen-VL-Chat-Int4 | 14 | 2,177 | transformers | 2023-09-07T04:05:34 | ---
language:
- zh
- en
tags:
- qwen
pipeline_tag: text-generation
inference: false
---
# Qwen-VL-Chat-Int4
<br>
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_vl.jpg" width="400"/>
<p>
<br>
<p align="center">
Qwen-VL <a href="https://modelscope.cn/models/qwen/Qwen-VL/... | 20,434 | [
[
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-0.... |
digiplay/CamelliaMix_NSFW_diffusers_v1.1 | 2023-07-19T15:38:03.000Z | [
"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/CamelliaMix_NSFW_diffusers_v1.1 | 14 | 2,176 | diffusers | 2023-05-31T09:19:25 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/44315/camelliamixnsfw
This model name is *CamelliaMix_NSFW*,
but I think it can generate many elegant look,
my sample images: (You can apply VAE or not,dif... | 927 | [
[
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0.05035400390625,
0.0440673828125,
-0.0587158203125,
-0.044464111328125,
-0.02191162109375,
0.001858... |
Yntec/QToriReloaded | 2023-08-14T05:20:14.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"agntperseus",
"TkskKurumi",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/QToriReloaded | 1 | 2,172 | diffusers | 2023-07-28T22:27:49 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- agntperseus
- TkskKurumi
---
# QTori Reloaded
QTori LORA merged in with RMHF 2.5D-V2.
Original pages:
https://civitai.com/models/15179/qtori-sty... | 383 | [
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... |
dkleczek/bert-base-polish-uncased-v1 | 2021-05-19T15:55:32.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"fill-mask",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | dkleczek | null | null | dkleczek/bert-base-polish-uncased-v1 | 7 | 2,171 | transformers | 2022-03-02T23:29:05 | ---
language: pl
thumbnail: https://raw.githubusercontent.com/kldarek/polbert/master/img/polbert.png
---
# Polbert - Polish BERT
Polish version of BERT language model is here! It is now available in two variants: cased and uncased, both can be downloaded and used via HuggingFace transformers library. I recommend using... | 8,729 | [
[
-0.0291595458984375,
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-0.047332763671875,
-0.05548095703125,
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0.... |
facebook/mms-tts-amh | 2023-09-01T13:07:23.000Z | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | facebook | null | null | facebook/mms-tts-amh | 0 | 2,170 | transformers | 2023-09-01T13:07:07 |
---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Amharic Text-to-Speech
This repository contains the **Amharic (amh)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.or... | 4,119 | [
[
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0.00... |
microsoft/swinv2-base-patch4-window12-192-22k | 2022-12-10T10:10:51.000Z | [
"transformers",
"pytorch",
"swinv2",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | microsoft | null | null | microsoft/swinv2-base-patch4-window12-192-22k | 2 | 2,169 | transformers | 2022-06-15T12:41:50 | ---
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... | 4,199 | [
[
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0.00262451171875,
0.031158447265625,
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0.0011882781982421875,
-0.045166015625,
... |
42MARU/GenAI-llama2-ko-en-platypus-13B | 2023-10-14T09:41:22.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"instruct",
"instruction",
"en",
"ko",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | 42MARU | null | null | 42MARU/GenAI-llama2-ko-en-platypus-13B | 2 | 2,169 | transformers | 2023-10-13T16:42:30 | ---
language:
- en
- ko
tags:
- llama-2
- instruct
- instruction
pipeline_tag: text-generation
---
# GenAI-llama2-ko-en-platypus-13B
### Model Details
- Developed by: [42MARU](https://www.42maru.ai/en/)
- Backbone Model: [ko-en-llama2-13b](https://huggingface.co/hyunseoki/ko-en-llama2-13b)
- Library: [transformers](ht... | 1,038 | [
[
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0.01580810546875,
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0.02166748046875,
0.04595947265625,
-0.052581787109375,
-0.0518798828125,
-0.0316162109375,
0.01457214355... |
KoboldAI/GPT-Neo-2.7B-Shinen | 2022-03-20T18:49:18.000Z | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/GPT-Neo-2.7B-Shinen | 19 | 2,168 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: mit
---
# GPT-Neo 2.7B - Shinen
## Model Description
GPT-Neo 2.7B-Shinen is a finetune created using EleutherAI's GPT-Neo 2.7B model. Compared to GPT-Neo-2.7-Horni, this model is much heavier on the sexual content.
**Warning: THIS model is NOT suitable for use by minors. The model will output... | 2,443 | [
[
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0.0151824951171875,
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0.016571044921875,
0.036468505859375,
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-0.035064697265625,
-0.04315185546875,
0... |
stablediffusionapi/protovisionxl | 2023-10-07T07:52:16.000Z | [
"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/protovisionxl | 1 | 2,167 | diffusers | 2023-09-14T11:55:37 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# protovision XL API Inference
![generated from stablediffusionapi.com](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4e841a1c-4e71-4e36-9222-ed7973e43992/width=450/00... | 2,513 | [
[
-0.038726806640625,
-0.05108642578125,
0.045867919921875,
0.022735595703125,
-0.035491943359375,
0.006046295166015625,
0.024383544921875,
-0.03277587890625,
0.03741455078125,
0.041900634765625,
-0.0574951171875,
-0.059234619140625,
-0.02874755859375,
-0.0011... |
aipicasso/picasso-diffusion-1-1 | 2023-05-26T04:18:39.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"arxiv:2112.10752",
"arxiv:2212.03860",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | aipicasso | null | null | aipicasso/picasso-diffusion-1-1 | 39 | 2,166 | diffusers | 2023-02-17T07:01:01 | ---
license: other
tags:
- stable-diffusion
- text-to-image
inference: false
---
# Picasso Diffusion 1.1 Model Card
Title: Welcome to Scientific Fact World.
English version is [here](README_en.md).
# はじめに
Picasso Diffusionは、約7000GPU時間をかけ開発したAIアートに特化した画像生成AIです。
# ライセンスについて
ライセンスにつ... | 5,691 | [
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-0.00... |
Norod78/SD15-IllusionDiffusionPattern-LoRA | 2023-09-20T19:07:38.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"en",
"dataset:Norod78/microsoft-fluentui-emoji-512-whitebg",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | Norod78 | null | null | Norod78/SD15-IllusionDiffusionPattern-LoRA | 7 | 2,163 | diffusers | 2023-09-20T18:44:23 | ---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: IllusionDiffusionPattern
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
datasets:
- Norod78/microsoft-fluentui-emoji-512-whitebg
widget:
- text: Wonderwoman IllusionDiffusionPattern
-... | 1,985 | [
[
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-0.048919677734375,
0.0101318359375,
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0.044586181640625,
-0.035064697265625,
-0.03521728515625,
-0.05645751953125,
0.0242309570312... |
danbrown/RevAnimated-v1-2-2 | 2023-04-30T16:55:39.000Z | [
"diffusers",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | danbrown | null | null | danbrown/RevAnimated-v1-2-2 | 7 | 2,162 | diffusers | 2023-04-30T16:34:42 | Not official! This are diffusers weights for https://civitai.com/models/7371/rev-animated
Based on Stable Diffusion v1.5 | 120 | [
[
-0.017822265625,
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0.01145172119140625,
0.052398681640625,
-0.01415252685546875,
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0.024017333984375,
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0.0482177734375,
0.0129241943359375,
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0.00582122802734375,
-0.024993896484375,
-... |
klue/roberta-small | 2023-06-12T12:29:28.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"fill-mask",
"korean",
"klue",
"ko",
"arxiv:2105.09680",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | klue | null | null | klue/roberta-small | 4 | 2,161 | transformers | 2022-03-02T23:29:05 | ---
language: ko
tags:
- korean
- klue
mask_token: "[MASK]"
widget:
- text: 대한민국의 수도는 [MASK] 입니다.
---
# KLUE RoBERTa small
Pretrained RoBERTa Model on Korean Language. See [Github](https://github.com/KLUE-benchmark/KLUE) and [Paper](https://arxiv.org/abs/2105.09680) for more details.
## How to use
_NOTE:_ Use... | 1,350 | [
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-0.044219970703125,
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0.004852294921875,
0.01033782958984375,
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0.... |
Yntec/a-ZovyaRemix | 2023-08-03T16:48:41.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Zovya",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/a-ZovyaRemix | 1 | 2,159 | diffusers | 2023-08-03T16:25:35 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Zovya
---
# A-Zovya Remix
A mix of A-Zovya RPG Artist Tools V3VAE and A-Zovya RPG Artist Tools V2 Art, to get the best artistic style with V3's kn... | 487 | [
[
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0.04095458984375,
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0.03143310546875,
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0.053955078125,
0.044586181640625,
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-0.00897216796875,
-0.0281524658... |
timm/convnextv2_nano.fcmae_ft_in22k_in1k_384 | 2023-03-31T23:39:47.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_nano.fcmae_ft_in22k_in1k_384 | 0 | 2,157 | timm | 2023-01-05T01:55:50 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_nano.fcmae_ft_in22k_in1k_384
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on Image... | 15,827 | [
[
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-0.03143310546875,
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0.0176239013671875,
-0.04412841796875,
-0.0389404296875,
-0.05279541015625,
-0.003313... |
timm/swin_base_patch4_window7_224.ms_in22k | 2023-03-18T04:04:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-22k",
"arxiv:2103.14030",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swin_base_patch4_window7_224.ms_in22k | 0 | 2,156 | timm | 2023-03-18T04:03:40 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-22k
---
# Model card for swin_base_patch4_window7_224.ms_in22k
A Swin Transformer image classification model. Pretrained on ImageNet-22k by paper authors.
## Model Details
- **Model Type:** Image classification / feature back... | 4,413 | [
[
-0.0303955078125,
-0.03363037109375,
-0.00506591796875,
0.012420654296875,
-0.022003173828125,
-0.0292510986328125,
-0.017486572265625,
-0.038330078125,
0.0024814605712890625,
0.028106689453125,
-0.043548583984375,
-0.049285888671875,
-0.04510498046875,
-0.0... |
timm/swin_large_patch4_window12_384.ms_in22k | 2023-03-18T04:11:24.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-22k",
"arxiv:2103.14030",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swin_large_patch4_window12_384.ms_in22k | 0 | 2,152 | timm | 2023-03-18T04:10:12 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-22k
---
# Model card for swin_large_patch4_window12_384.ms_in22k
A Swin Transformer image classification model. Pretrained on ImageNet-22k by paper authors.
## Model Details
- **Model Type:** Image classification / feature ba... | 4,423 | [
[
-0.0316162109375,
-0.0343017578125,
-0.002407073974609375,
0.0118865966796875,
-0.02130126953125,
-0.02911376953125,
-0.019073486328125,
-0.038360595703125,
0.003993988037109375,
0.0282135009765625,
-0.042449951171875,
-0.049407958984375,
-0.045440673828125,
... |
Yntec/CinemaE | 2023-08-16T02:04:54.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Filly",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/CinemaE | 4 | 2,152 | diffusers | 2023-08-05T05:34:44 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Filly
---
# cineMaErosPG_V4_UF
Original page:
https://civitai.com/models/74426?modelVersionId=100272
| 275 | [
[
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-0.06597900390625,
-0.0180206298828125,
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... |
shakti08/my-pet-dog | 2023-10-10T17:06:04.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | shakti08 | null | null | shakti08/my-pet-dog | 0 | 2,152 | diffusers | 2023-10-10T17:01:53 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by shakti08 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: KMEC-TS28
Sample pictures of this concept:
![0](https://huggingface.co... | 385 | [
[
-0.05804443359375,
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0.002355... |
Recognai/zeroshot_selectra_medium | 2023-07-14T22:21:07.000Z | [
"transformers",
"pytorch",
"safetensors",
"electra",
"text-classification",
"zero-shot-classification",
"nli",
"es",
"dataset:xnli",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | Recognai | null | null | Recognai/zeroshot_selectra_medium | 8 | 2,147 | transformers | 2022-03-02T23:29:04 | ---
language: es
tags:
- zero-shot-classification
- nli
- pytorch
datasets:
- xnli
pipeline_tag: zero-shot-classification
license: apache-2.0
widget:
- text: "El autor se perfila, a los 50 años de su muerte, como uno de los grandes de su siglo"
candidate_labels: "cultura, sociedad, economia, salud, deportes"
---
# Z... | 4,337 | [
[
-0.0122222900390625,
-0.0291748046875,
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-0.015655517578125,
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0.0128173828125,
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-0.039703369140625,
... |
satvikag/chatbot | 2021-06-04T20:08:11.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | conversational | satvikag | null | null | satvikag/chatbot | 35 | 2,145 | transformers | 2022-03-02T23:29:05 | ---
tags:
- conversational
license: mit
---
# DialoGPT Trained on the Speech of a Game Character
This is an instance of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) trained on a game character, Joshua from [The World Ends With You](https://en.wikipedia.org/wiki/The_World_Ends_with_You).... | 1,548 | [
[
-0.0106658935546875,
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-0.0096588134765625,
0.0184478759765625,
-0.01255035400390625,
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0.018829345703125,
0.02386474609375,
-0.057464599609375,
-0.03521728515625,
-0.038787841796... |
ckiplab/bert-tiny-chinese-pos | 2022-05-10T03:28:12.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"zh",
"license:gpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | ckiplab | null | null | ckiplab/bert-tiny-chinese-pos | 1 | 2,143 | transformers | 2022-05-10T02:54:45 | ---
language:
- zh
thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
- pytorch
- token-classification
- bert
- zh
license: gpl-3.0
---
# CKIP BERT Tiny Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segment... | 1,123 | [
[
-0.0229644775390625,
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-0.0296478271484375,
-0.0004940032958984375,
-0.017913818359375,
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0.0028476715087890625,
0.0251617431640625,
-0.0262451171875,
-0.0163421630859375,
-0.037689208984... |
prasanna2003/blip-image-captioning | 2023-07-22T06:37:04.000Z | [
"transformers",
"pytorch",
"safetensors",
"blip",
"text2text-generation",
"image-to-text",
"dataset:MMInstruction/M3IT",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | prasanna2003 | null | null | prasanna2003/blip-image-captioning | 5 | 2,141 | transformers | 2023-06-18T13:45:39 | ---
pipeline_tag: image-to-text
datasets:
- MMInstruction/M3IT
---
## Usage:
```
from transformers import BlipProcessor, BlipForConditionalGeneration
import torch
from PIL import Image
processor = BlipProcessor.from_pretrained("prasanna2003/blip-image-captioning")
if processor.tokenizer.eos_token is None:
process... | 737 | [
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0.0386962890625,
-0.0396728515625,
-0.01282501220703125,
-0.05645751953125,
0.0184... |
Yntec/MapleSyrup | 2023-08-12T15:24:37.000Z | [
"diffusers",
"anime",
"art",
"illustration",
"advokat",
"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/MapleSyrup | 3 | 2,141 | diffusers | 2023-08-12T15:00:58 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anime
- art
- illustration
- advokat
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# Maple Syrup
Sample image and prompt:
![Sample](https://cdn-uploads.huggingface.co/produc... | 629 | [
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0.00797271728515625... |
Yntec/SuperCuteRemix | 2023-09-20T08:09:16.000Z | [
"diffusers",
"Anime",
"Girl",
"Asian",
"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/SuperCuteRemix | 3 | 2,141 | diffusers | 2023-09-20T06:59:55 | ---
library_name: diffusers
pipeline_tag: text-to-image
license: creativeml-openrail-m
tags:
- Anime
- Girl
- Asian
- DucHaiten
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Super Cute Remix
DucHaitenSuperCute 1.0 mixed with SuperCute's unet and skin colors fixed (to match the colo... | 1,388 | [
[
-0.0506591796875,
-0.03759765625,
0.02203369140625,
0.026123046875,
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0.06451416015625,
0.04498291015625,
-0.07305908203125,
-0.0212860107421875,
-0.039031982421875,
0.00715255737304687... |
aubmindlab/bert-base-arabert | 2023-08-03T12:32:51.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"ar",
"dataset:wikipedia",
"dataset:Osian",
"dataset:1.5B-Arabic-Corpus",
"dataset:oscar-arabic-unshuffled",
"dataset:Assafir(private)",
"arxiv:2003.00104",
"autotrain_compatible",
"endpoints_compatible",
"ha... | fill-mask | aubmindlab | null | null | aubmindlab/bert-base-arabert | 16 | 2,139 | transformers | 2022-03-02T23:29:05 | ---
language: ar
datasets:
- wikipedia
- Osian
- 1.5B-Arabic-Corpus
- oscar-arabic-unshuffled
- Assafir(private)
widget:
- text: " عاصم +ة لبنان هي [MASK] ."
---
# !!! A newer version of this model is available !!! [AraBERTv2](https://huggingface.co/aubmindlab/bert-base-arabertv2)
# AraBERT v1 & v2 : Pre-training B... | 8,423 | [
[
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0.00095... |
minlik/chinese-llama-7b-merged | 2023-04-10T11:16:52.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | minlik | null | null | minlik/chinese-llama-7b-merged | 23 | 2,139 | transformers | 2023-04-10T09:59:54 | ---
title: chinese-llama-7b-merged
emoji: 📚
colorFrom: gray
colorTo: red
sdk: gradio
sdk_version: 3.23.0
app_file: app.py
pinned: false
---
加入中文词表并继续预训练中文Embedding，得到的中文LLaMA模型
详情可参考：https://github.com/ymcui/Chinese-LLaMA-Alpaca | 230 | [
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0.0196533203125,
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-0.056793212890625,
-0.04730224609375,
-0.0174713134765625... |
cambridgeltl/SapBERT-from-PubMedBERT-fulltext-mean-token | 2023-06-14T19:02:41.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"feature-extraction",
"arxiv:2010.11784",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | cambridgeltl | null | null | cambridgeltl/SapBERT-from-PubMedBERT-fulltext-mean-token | 0 | 2,133 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- biomedical
- lexical-semantics
datasets:
- UMLS
**[news]** A cross-lingual extension of SapBERT will appear in the main onference of **ACL 2021**! <br>
**[news]** SapBERT will appear in the conference proceedings of **NAACL 2021**!
### SapBERT-PubMedBERT
SapBERT by [Liu et al. (2020)](https:... | 3,890 | [
[
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0.039764404296875,
-0.0012006759643554688,
-0.0171966552734375,
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-0.01432037353515625,
-0.0250701904296875,
0.03515625,
0.033172607421875,
-0.034881591796875,
-0.0687255859375,
-0.035186767578125,
0.... |
lllyasviel/control_v11p_sd15s2_lineart_anime | 2023-05-04T18:49:50.000Z | [
"diffusers",
"art",
"controlnet",
"stable-diffusion",
"controlnet-v1-1",
"image-to-image",
"arxiv:2302.05543",
"license:openrail",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | image-to-image | lllyasviel | null | null | lllyasviel/control_v11p_sd15s2_lineart_anime | 14 | 2,129 | diffusers | 2023-04-14T19:25:03 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
- controlnet-v1-1
- image-to-image
duplicated_from: ControlNet-1-1-preview/control_v11p_sd15s2_lineart_anime
---
# Controlnet - v1.1 - *lineart_anime Version*
**Controlnet v1.1** was released in [lllyasviel/Co... | 15,688 | [
[
-0.041473388671875,
-0.04931640625,
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0.0201416015625,
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-0.0268096923828125,
-0.0584716796875,
-0.01049804687... |
deepset/gelectra-base | 2022-02-17T14:12:20.000Z | [
"transformers",
"pytorch",
"tf",
"electra",
"pretraining",
"de",
"dataset:wikipedia",
"dataset:OPUS",
"dataset:OpenLegalData",
"arxiv:2010.10906",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | null | deepset | null | null | deepset/gelectra-base | 9 | 2,125 | transformers | 2022-03-02T23:29:05 | ---
language: de
license: mit
datasets:
- wikipedia
- OPUS
- OpenLegalData
---
# German ELECTRA base
Released, Oct 2020, this is a German ELECTRA language model trained collaboratively by the makers of the original German BERT (aka "bert-base-german-cased") and the dbmdz BERT (aka bert-base-german-dbmdz-cased). In ou... | 2,002 | [
[
-0.037078857421875,
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-0.0011005401611328125,
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-0.025848388671875,
-0.041748046875,
0.0177764892578125,
0.036956787109375,
-0.04168701171875,
-0.0537109375,
-0.0186920166015625,
... |
internlm/internlm-chat-7b | 2023-10-20T14:22:07.000Z | [
"transformers",
"pytorch",
"internlm",
"feature-extraction",
"text-generation",
"custom_code",
"has_space",
"region:us"
] | text-generation | internlm | null | null | internlm/internlm-chat-7b | 95 | 2,123 | transformers | 2023-07-06T01:37:40 | ---
pipeline_tag: text-generation
---
# InternLM
<div align="center">
<img src="https://github.com/InternLM/InternLM/assets/22529082/b9788105-8892-4398-8b47-b513a292378e" width="200"/>
<div> </div>
<div align="center">
<b><font size="5">InternLM</font></b>
<sup>
<a href="https://internlm.inter... | 10,330 | [
[
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-0.054595947265625,
0.0027751922607421875,
0.0311431884765625,
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0.004322052001953125,
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-0.027435302734375,
-0.003238677978515625,
0.0006451606750488281,
-0.01971435546875,
-0.052459716796875,
-0.03628... |
artificialguybr/LineAniRedmond-LinearMangaSDXL | 2023-10-07T04:13:08.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/LineAniRedmond-LinearMangaSDXL | 4 | 2,122 | diffusers | 2023-08-12T00:21:43 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: LineAniAF
widget:
- text: LineAniAF
---
# LineAni.Redmond
Download V2 HERE: https://huggingface.co/artificialguybr/LineAn... | 1,266 | [
[
-0.044830322265625,
-0.06121826171875,
0.006977081298828125,
0.042205810546875,
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0.0399169921875,
-0.05706787109375,
-0.0306243896484375,
-0.0174560546875,
-0.011... |
l3cube-pune/gujarati-bert | 2023-09-10T09:23:07.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"fill-mask",
"gu",
"arxiv:2211.11418",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | l3cube-pune | null | null | l3cube-pune/gujarati-bert | 1 | 2,119 | transformers | 2022-11-20T07:59:12 | ---
license: cc-by-4.0
language: gu
---
## TamilBERT
GujaratiBERT is a Gujarati BERT model trained on publicly available Gujarati monolingual datasets.
Preliminary details on the dataset, models, and baseline results can be found in our [<a href='https://arxiv.org/abs/2211.11418'> paper </a>] .
Citing:
```
@article... | 2,136 | [
[
-0.038818359375,
-0.032440185546875,
0.00347900390625,
0.0428466796875,
-0.031951904296875,
-0.00453948974609375,
-0.01479339599609375,
-0.0243072509765625,
0.0307159423828125,
0.002201080322265625,
-0.0693359375,
-0.041412353515625,
-0.0557861328125,
0.0031... |
facebook/hf-seamless-m4t-large | 2023-10-30T14:50:30.000Z | [
"transformers",
"pytorch",
"seamless_m4t",
"feature-extraction",
"SeamlessM4T",
"text-to-speech",
"license:cc-by-nc-4.0",
"region:us"
] | text-to-speech | facebook | null | null | facebook/hf-seamless-m4t-large | 17 | 2,119 | transformers | 2023-09-13T12:05:44 | ---
inference: false
tags:
- SeamlessM4T
- seamless_m4t
license: cc-by-nc-4.0
library_name: transformers
pipeline_tag: text-to-speech
---
# SeamlessM4T Large
SeamlessM4T is a collection of models designed to provide high quality translation, allowing people from different
linguistic communities to communicate effort... | 5,850 | [
[
-0.02056884765625,
-0.056793212890625,
0.0258636474609375,
0.0355224609375,
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-0.0276031494140625,
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0.0229339599609375,
-0.05487060546875,
-0.039093017578125,
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0.... |
coreco/seek.art_MEGA | 2023-05-16T09:36:46.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | coreco | null | null | coreco/seek.art_MEGA | 179 | 2,118 | diffusers | 2022-12-12T04:27:41 | ---
inference: true
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
---
# Seek.art MEGA is a general use "anything" model that significantly improves on 1.5 across dozens of styles. Created by Coreco at [seek.art](https://seek.art/)
This model was trained on nearly 10k h... | 3,560 | [
[
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0.01328277587890625,
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0.045074462890625,
0.033935546875,
-0.052734375,
-0.030792236328125,
-0.05010986328125,
0.000167965... |
xiaolxl/WestMagic | 2023-03-24T10:12:10.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:cc-by-nc-sa-4.0",
"has_space",
"region:us"
] | text-to-image | xiaolxl | null | null | xiaolxl/WestMagic | 21 | 2,118 | diffusers | 2023-02-20T00:44:32 | ---
license: cc-by-nc-sa-4.0
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
---
# 本人郑重声明：本模型禁止用于训练基于明星、公众人物肖像的风格模型训练，因为这会带来争议，对AI社区的发展造成不良的负面影响。
# 本模型注明：训练素材中不包含任何真人素材。
# 介绍 - WestMagic
欢迎使用WestMagic3模型 - 这是一个西幻风格的模型，也可以说是一个西幻游戏角色模型，具有2.5D的质感。... | 2,982 | [
[
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... |
timm/pit_s_distilled_224.in1k | 2023-04-26T00:08:18.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2103.16302",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/pit_s_distilled_224.in1k | 0 | 2,118 | timm | 2023-04-26T00:07:57 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for pit_s_distilled_224.in1k
A PiT (Pooling based Vision Transformer) image classification model. Trained on ImageNet-1k with token based distillation by paper authors.
## Model Details
- **Model Ty... | 3,668 | [
[
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-0.061004638671875,
-0.00794219... |
TheBloke/airoboros-l2-13B-gpt4-1.4.1-GPTQ | 2023-09-27T12:45:03.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-gpt4-1.4.1",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/airoboros-l2-13B-gpt4-1.4.1-GPTQ | 25 | 2,111 | transformers | 2023-07-24T12:09:20 | ---
license: other
datasets:
- jondurbin/airoboros-gpt4-1.4.1
model_name: Airoboros Llama 2 13B GPT4 1.4.1
base_model: jondurbin/airoboros-l2-13b-gpt4-1.4.1
inference: false
model_creator: Jon Durbin
model_type: llama
prompt_template: 'A chat between a curious user and an assistant. The assistant gives
helpful, detai... | 18,888 | [
[
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0.0229644775390625,
-0.0438232421875,
-0.0304107666015625,
-0.0309600830078125,
-0.01... |
Xwin-LM/Xwin-LM-7B-V0.2 | 2023-10-13T05:36:23.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Xwin-LM | null | null | Xwin-LM/Xwin-LM-7B-V0.2 | 20 | 2,105 | transformers | 2023-10-13T05:15:31 | ---
license: llama2
---
<h3 align="center">
Xwin-LM: Powerful, Stable, and Reproducible LLM Alignment
</h3>
<p align="center">
<a href="https://github.com/Xwin-LM/Xwin-LM"><img src="https://img.shields.io/badge/GitHub-yellow.svg?style=social&logo=github"></a><a href="https://huggingface.co/Xwin-LM"><img src="https:... | 10,974 | [
[
-0.047882080078125,
-0.044403076171875,
0.031707763671875,
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-0.0019426345825195312,
-0.06085205078125,
0.0267333984375,
0.0169525146484375,
-0.05889892578125,
-0.0552978515625,
-0.05950927734375,
-... |
CompVis/ldm-celebahq-256 | 2022-07-28T08:12:07.000Z | [
"diffusers",
"pytorch",
"unconditional-image-generation",
"arxiv:2112.10752",
"license:apache-2.0",
"has_space",
"diffusers:LDMPipeline",
"region:us"
] | unconditional-image-generation | CompVis | null | null | CompVis/ldm-celebahq-256 | 26 | 2,104 | diffusers | 2022-07-15T17:28:35 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Latent Diffusion Models (LDM)
**Paper**: [High-Resolution Image Synthesis with Latent Diffusion Models](https://arxiv.org/abs/2112.10752)
**Abstract**:
*By decomposing the image formation process into a sequential application... | 4,327 | [
[
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0.0102386474609375,
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0.03363037109375,
-0.038909912109375,
-0.036224365234375,
-0.044158935546875,
... |
sentence-transformers/gtr-t5-xl | 2022-02-09T12:29:08.000Z | [
"sentence-transformers",
"pytorch",
"t5",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"arxiv:2112.07899",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/gtr-t5-xl | 13 | 2,103 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
language: en
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/gtr-t5-xl
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dime... | 1,881 | [
[
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-0.0531005859375,
0.03900146484375,
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0.0005602836608886719,
0.04119873046875,
-0.026641845703125,
-0.035125732421875,
-0.0556640625,
0... |
csarron/mobilebert-uncased-squad-v1 | 2023-04-05T17:53:38.000Z | [
"transformers",
"pytorch",
"safetensors",
"mobilebert",
"question-answering",
"en",
"dataset:squad",
"arxiv:2004.02984",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | csarron | null | null | csarron/mobilebert-uncased-squad-v1 | 0 | 2,102 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail:
license: mit
tags:
- question-answering
- mobilebert
datasets:
- squad
metrics:
- squad
widget:
- text: "Which name is also used to describe the Amazon rainforest in English?"
context: "The Amazon rainforest (Portuguese: Floresta Amazônica or Amazônia; Spanish: Selva Amazónica, Amazonía o... | 5,163 | [
[
-0.0406494140625,
-0.044708251953125,
0.01983642578125,
0.0251617431640625,
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-0.0233612060546875,
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0.0087890625,
-0.0816650390625,
-0.037994384765625,
-0.0283203125,
-0.003742218017578... |
KoboldAI/fairseq-dense-2.7B-Nerys | 2022-06-25T11:23:23.000Z | [
"transformers",
"pytorch",
"xglm",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/fairseq-dense-2.7B-Nerys | 8 | 2,101 | transformers | 2022-05-13T13:40:07 | ---
language: en
license: mit
---
# Fairseq-dense 2.7B - Nerys
## Model Description
Fairseq-dense 2.7B-Nerys is a finetune created using Fairseq's MoE dense model.
## Training data
The training data contains around 2500 ebooks in various genres (the "Pike" dataset), a CYOA dataset called "CYS" and 50 Asian "Light Novel... | 1,310 | [
[
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-0.046661376953125,
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-0.0028591156005859375,
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-0.0005288124084472656,
0.052337646484375,
-0.0595703125,
-0.03277587890625,
-0.04205322265... |
nickmuchi/yolos-small-finetuned-license-plate-detection | 2023-01-10T02:57:56.000Z | [
"transformers",
"pytorch",
"yolos",
"object-detection",
"license-plate-detection",
"vehicle-detection",
"en",
"endpoints_compatible",
"has_space",
"region:us"
] | object-detection | nickmuchi | null | null | nickmuchi/yolos-small-finetuned-license-plate-detection | 18 | 2,095 | transformers | 2022-08-18T13:21:39 | ---
language:
- en
tags:
- object-detection
- license-plate-detection
- vehicle-detection
widget:
- src: https://drive.google.com/uc?id=1j9VZQ4NDS4gsubFf3m2qQoTMWLk552bQ
example_title: "Skoda 1"
- src: https://drive.google.com/uc?id=1p9wJIqRz3W50e2f_A0D8ftla8hoXz4T5
example_title: "Skoda 2"
metrics:
- average preci... | 3,806 | [
[
-0.0491943359375,
-0.0245819091796875,
0.00818634033203125,
-0.0209197998046875,
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-0.004947662353515625,
-0.051177978515625,
0.02886962890625,
0.0168914794921875,
-0.0228424072265625,
-0.040191650390625,
-0.038360595703125,
... |
artificialguybr/ColoringBookRedmond-V2 | 2023-10-07T20:57:38.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/ColoringBookRedmond-V2 | 4 | 2,095 | diffusers | 2023-10-07T20:54:11 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: ColoringBookAF, Coloring Book
widget:
- text: ColoringBookAF, Coloring Book
---
# ColoringBook.Redmond V2
ColoringBook.Re... | 1,229 | [
[
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-0.048126220703125,
0.006378173828125,
0.0307769775390625,
-0.03057861328125,
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0.0109710693359375,
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0.062286376953125,
0.0341796875,
-0.046630859375,
-0.033050537109375,
-0.01129150390625,
-0.0189056396484... |
sail-rvc/Sonic48k | 2023-07-14T07:31:59.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/Sonic48k | 0 | 2,092 | transformers | 2023-07-14T07:31:48 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# Sonic48k
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:31:59
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into load... | 376 | [
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0.05908203125,
-0.06573486328125,
-0.0465087890625,
-0.0268707275390625,
0.0061721801... |
AIARTCHAN/expmixLine_v2 | 2023-03-21T09:33:30.000Z | [
"diffusers",
"stable-diffusion",
"aiartchan",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | AIARTCHAN | null | null | AIARTCHAN/expmixLine_v2 | 12 | 2,091 | diffusers | 2023-03-05T12:39:45 | ---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- aiartchan
---
# ExpMix_Line v2.0
[원본글](https://arca.live/b/aiart/70802971)
~[civitai](https://civitai.com/models/12865)~
# Download
- [no-ema fp32 5.67GB](https://huggingface.co/AIARTCHAN/expmixLine_v2/resolve/main/ex... | 1,519 | [
[
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-0.033355712890625,
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0.04388427734375,
-0.04833984375,
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0.0184478759765625,
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0.07318115234375,
0.038909912109375,
-0.060211181640625,
-0.02886962890625,
-0.0259552001953125,
0.0082... |
nguyenvulebinh/wav2vec2-base-vi | 2023-08-04T05:25:42.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"pretraining",
"speech",
"vi",
"dataset:youtube-vi-13k-hours",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | nguyenvulebinh | null | null | nguyenvulebinh/wav2vec2-base-vi | 1 | 2,090 | transformers | 2022-11-04T12:57:55 | ---
language: vi
datasets:
- youtube-vi-13k-hours
tags:
- speech
license: cc-by-nc-4.0
---
# Vietnamese Self-Supervised Learning Wav2Vec2 model
## Model
We use wav2vec2 architecture for doing Self-Supervised learning
<img src="https://raw.githubusercontent.com/patrickvonplaten/scientific_images/master/wav2vec2.png"... | 3,544 | [
[
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0.0234832763671875,
-0.00518035888671875,
-0.0153961181640625,
-0.02978515625,
-0.02630615234375,
-0.0002313852310180664,
0.034820556640625,
-0.0467529296875,
-0.051422119140625,
-0.044525146484375,
... |
timm/vit_base_patch16_224_miil.in21k | 2023-05-06T00:01:00.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k-p",
"arxiv:2104.10972",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_224_miil.in21k | 0 | 2,090 | timm | 2022-12-22T07:28:12 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k-p
---
# Model card for vit_base_patch16_224_miil.in21k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k-P by Alibaba MIIL.
## Model Details
- **Model Type:** Image classification / fe... | 3,584 | [
[
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-0.0240325927734375,
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0.01125335693359375,
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0.0286407470703125,
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-0.041717529296875,
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... |
MonoHime/rubert-base-cased-sentiment-new | 2023-03-17T09:03:04.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"sentiment",
"ru",
"dataset:Tatyana/ru_sentiment_dataset",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | text-classification | MonoHime | null | null | MonoHime/rubert-base-cased-sentiment-new | 16 | 2,088 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- sentiment
- text-classification
datasets:
- Tatyana/ru_sentiment_dataset
---
# Model Card for RuBERT for Sentiment Analysis
# Model Details
## Model Description
Russian texts sentiment classification.
- **Developed by:** Tatyana Voloshina
- **Shared by [Optional]:** Tatyana Volo... | 3,879 | [
[
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0.0009593963623046875,
0.0212249755859375,
-0.0419921875,
-0.053131103515625,
-0.05419921875,
-0.0... |
ckiplab/gpt2-base-chinese | 2022-05-10T03:28:12.000Z | [
"transformers",
"pytorch",
"jax",
"gpt2",
"text-generation",
"lm-head",
"zh",
"license:gpl-3.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ckiplab | null | null | ckiplab/gpt2-base-chinese | 24 | 2,088 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
- pytorch
- lm-head
- gpt2
- zh
license: gpl-3.0
---
# CKIP GPT2 Base Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segmentation, part-o... | 1,106 | [
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0.0292816162109375,
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-0.0209197998046875,
-0.04864501953125,
... |
vblagoje/bart_lfqa | 2022-02-14T15:54:47.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:vblagoje/lfqa",
"dataset:vblagoje/lfqa_support_docs",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | vblagoje | null | null | vblagoje/bart_lfqa | 46 | 2,087 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- vblagoje/lfqa
- vblagoje/lfqa_support_docs
license: mit
---
## Introduction
See [blog post](https://towardsdatascience.com/long-form-qa-beyond-eli5-an-updated-dataset-and-approach-319cb841aabb) for more details.
## Usage
```python
import torch
from transformers import AutoTokenizer, Auto... | 3,264 | [
[
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-0.0208892822265625,
-0.013031005859375,
0.00989532470703125,
0.01320648193359375,
-0.037506103515625,
-0.024505615234375,
-0.0304107666015625,
... |
allegro/herbert-large-cased | 2022-06-26T14:18:54.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"herbert",
"pl",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | allegro | null | null | allegro/herbert-large-cased | 5 | 2,086 | transformers | 2022-03-02T23:29:05 | ---
language: pl
tags:
- herbert
license: cc-by-4.0
---
# HerBERT
**[HerBERT](https://en.wikipedia.org/wiki/Zbigniew_Herbert)** is a BERT-based Language Model trained on Polish corpora
using Masked Language Modelling (MLM) and Sentence Structural Objective (SSO) with dynamic masking of whole words. For more details, ... | 3,272 | [
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-0.040863037109375,
-0.032745361328125,
0.0186614990234375,
0.027587890625,
-0.053741455078125,
-0.042327880859375,
-0.050140380859375,
... |
hearmeneigh/sd21-e621-rising-v1 | 2023-07-16T18:14:35.000Z | [
"diffusers",
"tensorboard",
"not-for-all-audiences",
"text-to-image",
"dataset:hearmeneigh/e621-rising-v1-curated",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | hearmeneigh | null | null | hearmeneigh/sd21-e621-rising-v1 | 12 | 2,083 | diffusers | 2023-01-25T05:04:25 | ---
library_name: diffusers
pipeline_tag: text-to-image
datasets:
- hearmeneigh/e621-rising-v1-curated
tags:
- not-for-all-audiences
---
<div style='background: #ffdddd; padding:0.5em;'>
Warning: This model is NOT suitable for use by minors. The model can/will generate X-rated/NFSW content.
</div>
<div style='backgro... | 7,787 | [
[
-0.0689697265625,
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0.0... |
persiannlp/mt5-base-parsinlu-opus-translation_fa_en | 2021-09-23T16:19:57.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"machine-translation",
"persian",
"farsi",
"fa",
"multilingual",
"dataset:parsinlu",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | persiannlp | null | null | persiannlp/mt5-base-parsinlu-opus-translation_fa_en | 1 | 2,082 | transformers | 2022-03-02T23:29:05 | ---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- machine-translation
- mt5
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
metrics:
- sacrebleu
---
# Machine Translation (ترجمهی ماشینی)
This is an mT5-based model for machine translatio... | 2,792 | [
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... |
rinna/japanese-cloob-vit-b-16 | 2022-07-19T05:49:48.000Z | [
"transformers",
"pytorch",
"cloob",
"feature-extraction",
"ja",
"japanese",
"clip",
"vision",
"arxiv:2110.11316",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | rinna | null | null | rinna/japanese-cloob-vit-b-16 | 9 | 2,082 | transformers | 2022-04-27T08:29:29 | ---
language: ja
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
license: apache-2.0
tags:
- feature-extraction
- ja
- japanese
- clip
- cloob
- vision
---
# rinna/japanese-cloob-vit-b-16
This is a Japanese [CLOOB (Contrastive Leave One Out Boost)](ht... | 2,118 | [
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0.0016136... |
PatrallapalliRavindra/my-tiger | 2023-11-03T13:15:17.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | PatrallapalliRavindra | null | null | PatrallapalliRavindra/my-tiger | 0 | 2,082 | diffusers | 2023-11-03T13:10:31 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-tiger Dreambooth model trained by PatrallapalliRavindra following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: CVR-249
Sample pictures of this concept:
![0](h... | 836 | [
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-0.053619384765625,
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0.024169921875,
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-0.05078125,
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-0.0156402587890625,
0.01226043701171875,
... |
Sarathkumarroyal/my-lion | 2023-11-03T13:16:52.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Sarathkumarroyal | null | null | Sarathkumarroyal/my-lion | 0 | 2,082 | diffusers | 2023-11-03T13:12:31 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-lion Dreambooth model trained by Sarathkumarroyal following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: CVR-67
Sample pictures of this concept:
![0](https://... | 798 | [
[
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0.00... |
baichuan-inc/Baichuan2-7B-Chat-4bits | 2023-10-07T04:31:02.000Z | [
"transformers",
"pytorch",
"baichuan",
"text-generation",
"custom_code",
"en",
"zh",
"license:other",
"region:us"
] | text-generation | baichuan-inc | null | null | baichuan-inc/Baichuan2-7B-Chat-4bits | 46 | 2,079 | transformers | 2023-08-30T10:11:39 | ---
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="... | 13,215 | [
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Jean-Baptiste/roberta-large-financial-news-sentiment-en | 2023-03-22T02:27:09.000Z | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"roberta",
"text-classification",
"financial",
"stocks",
"sentiment",
"en",
"dataset:Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | Jean-Baptiste | null | null | Jean-Baptiste/roberta-large-financial-news-sentiment-en | 6 | 2,078 | transformers | 2022-12-28T16:07:04 | ---
language: en
tags:
- financial
- stocks
- sentiment
datasets:
- Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75
widget:
- text: "Fortuna Silver Mines Inc. (NYSE: FSM) (TSX: FVI) reports solid production results for the third quarter of 2022 from its four operating mines in the Americas and Wes... | 2,851 | [
[
-0.0154266357421875,
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0.0220184326171875,
0.0224151611328125,
-0.020111083984375,
-0.0684814453125,
-0.0628662109375,
... |
nateraw/vit-base-beans | 2022-12-06T17:47:49.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"generated_from_trainer",
"en",
"dataset:beans",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | nateraw | null | null | nateraw/vit-base-beans | 8 | 2,077 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
tags:
- generated_from_trainer
- image-classification
datasets:
- beans
metrics:
- accuracy
widget:
- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/healthy.jpeg
example_title: Healthy
- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/angular_leaf_... | 6,290 | [
[
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0.016357421875,
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-0.010772705078125,
-0.01213836669921875,
0.015777587890625,
0.023406982421875,
-0.038116455078125,
-0.041900634765625,
-0.057708740234375,
-0.016738... |
Daniil-plotnikov/deepvision-v4-0 | 2023-10-13T04:47:33.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Daniil-plotnikov | null | null | Daniil-plotnikov/deepvision-v4-0 | 0 | 2,075 | diffusers | 2023-10-12T20:01:14 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### DeepVision-V4.0
Good base model
| 118 | [
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0.036895751953125,
0.031829833984375,
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0.0239715576171875,
0.0010023117065429688,
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0.0732421875,
-0.01265716552734375,
-0.049652099609375,
-0.02824401855468... |
ctheodoris/Geneformer | 2023-11-06T07:59:59.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"fill-mask",
"dataset:ctheodoris/Genecorpus-30M",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | ctheodoris | null | null | ctheodoris/Geneformer | 109 | 2,071 | transformers | 2022-03-12T20:55:42 | ---
datasets: ctheodoris/Genecorpus-30M
license: apache-2.0
---
# Geneformer
Geneformer is a foundation transformer model pretrained on a large-scale corpus of ~30 million single cell transcriptomes to enable context-aware predictions in settings with limited data in network biology.
See [our manuscript](https://rdcu... | 6,256 | [
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timm/efficientformerv2_l.snap_dist_in1k | 2023-02-03T21:11:07.000Z | [
"timm",
"pytorch",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2212.08059",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientformerv2_l.snap_dist_in1k | 0 | 2,067 | timm | 2023-02-03T21:08:01 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientformerv2_l.snap_dist_in1k
A EfficientFormer-V2 image classification model. Pretrained with distillation on ImageNet-1k.
## Model Details
- **Model Type:** Image classification / feature ... | 4,558 | [
[
-0.03338623046875,
-0.034698486328125,
0.00948333740234375,
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0.02581787109375,
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PORTULAN/albertina-900m-portuguese-ptbr-encoder-brwac | 2023-10-23T10:16:57.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"fill-mask",
"albertina-pt*",
"albertina-ptpt",
"albertina-ptbr",
"bert",
"deberta",
"portuguese",
"encoder",
"foundation model",
"pt",
"dataset:brwac",
"dataset:PORTULAN/glue-ptpt",
"dataset:assin2",
"dataset:dlb/plue",
"ar... | fill-mask | PORTULAN | null | null | PORTULAN/albertina-900m-portuguese-ptbr-encoder-brwac | 36 | 2,063 | transformers | 2023-05-08T16:48:47 | ---
language:
- pt
tags:
- albertina-pt*
- albertina-ptpt
- albertina-ptbr
- fill-mask
- bert
- deberta
- portuguese
- encoder
- foundation model
license: other
datasets:
- brwac
- PORTULAN/glue-ptpt
- assin2
- dlb/plue
widget:
- text: >-
A culinária brasileira é rica em sabores e [MASK], tornando-se um dos
mai... | 13,906 | [
[
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-0.057373046875,
0.00772857666015625,
0.020111083984375,
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-0.0246734619140625,
-0.045928955078125,
0.0219879150390625,
0.023162841796875,
-0.0220184326171875,
-0.043731689453125,
-0.062469482421875,
0... |
altndrr/cased | 2023-06-16T15:22:02.000Z | [
"transformers",
"pytorch",
"cased",
"feature-extraction",
"vision",
"image-classification",
"custom_code",
"arxiv:2306.00917",
"has_space",
"region:us"
] | image-classification | altndrr | null | null | altndrr/cased | 1 | 2,059 | transformers | 2023-06-07T08:47:15 | ---
pipeline_tag: image-classification
tags:
- vision
inference: false
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
example_title: Cat & Dog
---
# Category Search from External Databases (CaSED)
Disclaimer: The model card is taken and modified from the official r... | 2,037 | [
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0.00275421142578125,
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0.027587890625,
0.03631591796875,
-0.03564453125,
-0.05194091796875,
-0.051025390625,
0.01538848... |
pritamdeka/BioBERT-mnli-snli-scinli-scitail-mednli-stsb | 2022-11-03T12:40:05.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | pritamdeka | null | null | pritamdeka/BioBERT-mnli-snli-scinli-scitail-mednli-stsb | 24 | 2,056 | sentence-transformers | 2022-11-03T12:00:57 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# pritamdeka/BioBERT-mnli-snli-scinli-scitail-mednli-stsb
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector s... | 4,452 | [
[
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-0.0621337890625,
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0.02197265625,
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-0.04095458984375,
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0... |
timm/efficientvit_b3.r224_in1k | 2023-08-18T22:47:26.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2205.14756",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientvit_b3.r224_in1k | 0 | 2,056 | timm | 2023-08-18T22:46:38 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientvit_b3.r224_in1k
An EfficientViT (MIT) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- ... | 3,666 | [
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-0.049407958984375,
-0.0... |
obrizum/all-MiniLM-L6-v2 | 2022-05-09T06:48:12.000Z | [
"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",
"region:us"
] | feature-extraction | obrizum | null | null | obrizum/all-MiniLM-L6-v2 | 3 | 2,054 | sentence-transformers | 2022-05-09T06:44:06 | ---
pipeline_tag: feature-extraction
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
---
# all-MiniLM-L6-v2
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 f... | 10,135 | [
[
-0.0265655517578125,
-0.064208984375,
0.0244293212890625,
0.007537841796875,
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-0.02197265625,
-0.017669677734375,
-0.0215911865234375,
0.025665283203125,
0.01434326171875,
-0.037353515625,
-0.040771484375,
-0.04754638671875,
0.0091857910... |
socialtrait/stable-diffusion-xl-base-1.0-infendpoint | 2023-09-05T04:29:03.000Z | [
"diffusers",
"onnx",
"text-to-image",
"stable-diffusion",
"arxiv:2307.01952",
"arxiv:2211.01324",
"arxiv:2108.01073",
"arxiv:2112.10752",
"license:openrail++",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | socialtrait | null | null | socialtrait/stable-diffusion-xl-base-1.0-infendpoint | 0 | 2,054 | diffusers | 2023-09-04T20:09:09 | ---
license: openrail++
tags:
- text-to-image
- stable-diffusion
duplicated_from: stabilityai/stable-diffusion-xl-base-1.0
---
# SD-XL 1.0-base Model Card
## Model
[SDXL](https://arxiv.org/abs/2307.01952) consists of an [ensemble of experts](https://arxiv.org/abs/2211.01324... | 8,704 | [
[
-0.0308837890625,
-0.062469482421875,
0.03802490234375,
0.0096588134765625,
-0.0080718994140625,
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0.00922393798828125,
0.031890869140625,
-0.0225830078125,
-0.03790283203125,
-0.045440673828125,
... |
sd-dreambooth-library/disco-diffusion-style | 2023-05-16T09:19:43.000Z | [
"diffusers",
"license:mit",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | sd-dreambooth-library | null | null | sd-dreambooth-library/disco-diffusion-style | 101 | 2,053 | diffusers | 2022-09-29T18:35:00 | ---
license: mit
---
### Disco Diffusion style on Stable Diffusion via Dreambooth
#### model by whonoidontkno
This your the Stable Diffusion model fine-tuned the Disco Diffusion style concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **a photo of ddfusion style**
Yo... | 1,704 | [
[
-0.043792724609375,
-0.05621337890625,
0.0276336669921875,
0.03167724609375,
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0.0086669921875,
-0.0189361572265625,
0.056854248046875,
0.0233154296875,
-0.046539306640625,
-0.0391845703125,
-0.0274810791015625,
-0.01426... |
Akshay000/my-pet-dogxzg | 2023-10-08T10:31:36.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Akshay000 | null | null | Akshay000/my-pet-dogxzg | 0 | 2,051 | diffusers | 2023-10-08T10:17:56 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dogxzg Dreambooth model trained by Akshay000 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](h... | 903 | [
[
-0.0618896484375,
-0.0250396728515625,
0.023468017578125,
0.015411376953125,
-0.02789306640625,
0.0232391357421875,
0.024932861328125,
-0.03662109375,
0.039520263671875,
0.0238800048828125,
-0.048919677734375,
-0.04156494140625,
-0.0287017822265625,
0.004768... |
hf-internal-testing/dummy-renamed | 2022-08-10T09:15:51.000Z | [
"transformers",
"endpoints_compatible",
"region:us"
] | null | hf-internal-testing | null | null | hf-internal-testing/dummy-renamed | 0 | 2,050 | transformers | 2022-08-10T09:09:39 | Used for a regression test addressing [this issue](https://github.com/huggingface/huggingface_hub/issues/981). | 110 | [
[
-0.040374755859375,
-0.077880859375,
0.028594970703125,
0.055145263671875,
0.0212554931640625,
-0.0128173828125,
0.0103912353515625,
-0.026702880859375,
0.052093505859375,
0.007389068603515625,
-0.05877685546875,
-0.01157379150390625,
0.00592803955078125,
0.... |
Yntec/HassanBlend12 | 2023-09-14T19:16:41.000Z | [
"diffusers",
"General",
"Photorealistic",
"Hassan",
"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/HassanBlend12 | 1 | 2,050 | diffusers | 2023-09-01T04:45:37 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- General
- Photorealistic
- Hassan
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
---
# Hassan Blend 1.2
A model better at anything than Hassan Blend 1.5.1.2, exc... | 870 | [
[
-0.030181884765625,
-0.04937744140625,
0.033477783203125,
0.02935791015625,
-0.02142333984375,
0.007335662841796875,
0.034515380859375,
-0.040863037109375,
0.04449462890625,
0.0325927734375,
-0.0509033203125,
-0.03692626953125,
-0.02783203125,
-0.02032470703... |
JassTxM/my-pet-dog | 2023-10-07T16:09:34.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | JassTxM | null | null | JassTxM/my-pet-dog | 0 | 2,050 | diffusers | 2023-10-07T16:05:33 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by JassTxM following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: BBSBEC-27
Sample pictures of this concept:
![0]... | 1,154 | [
[
-0.0692138671875,
-0.01824951171875,
0.025726318359375,
0.01554107666015625,
-0.02386474609375,
0.02496337890625,
0.01291656494140625,
-0.038818359375,
0.0452880859375,
0.02740478515625,
-0.041656494140625,
-0.041351318359375,
-0.0264739990234375,
0.01679992... |
kit-nlp/bert-base-japanese-sentiment-irony | 2022-11-08T04:23:27.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"ja",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-classification | kit-nlp | null | null | kit-nlp/bert-base-japanese-sentiment-irony | 2 | 2,047 | transformers | 2022-11-07T06:29:21 | ---
language: ja
license: cc-by-sa-4.0
---
# BERT Base Japanese for Irony
This is a BERT Base model for sentiment analysis in Japanese additionally finetuned for automatic irony detection.
The model was based on [bert-base-japanese-sentiment](https://huggingface.co/daigo/bert-base-japanese-sentiment), and later f... | 1,153 | [
[
-0.0301513671875,
-0.055145263671875,
0.039703369140625,
0.037261962890625,
-0.037689208984375,
-0.0225982666015625,
-0.008270263671875,
-0.0266876220703125,
0.0249176025390625,
0.020111083984375,
-0.052886962890625,
-0.04150390625,
-0.0347900390625,
-0.0004... |
pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512 | 2023-05-19T06:36:56.000Z | [
"transformers",
"pytorch",
"tensorboard",
"layoutlmv2",
"token-classification",
"object-detection",
"vision",
"generated_from_trainer",
"DocLayNet",
"LayoutXLM",
"COCO",
"PDF",
"IBM",
"Financial-Reports",
"Finance",
"Manuals",
"Scientific-Articles",
"Science",
"Laws",
"Law",
... | token-classification | pierreguillou | null | null | pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512 | 3 | 2,043 | transformers | 2023-03-25T06:46:22 | ---
language:
- multilingual
- en
- de
- fr
- ja
license: mit
tags:
- object-detection
- vision
- generated_from_trainer
- DocLayNet
- LayoutXLM
- COCO
- PDF
- IBM
- Financial-Reports
- Finance
- Manuals
- Scientific-Articles
- Science
- Laws
- Law
- Regulations
- Patents
- Government-Tenders
- object-detection
- image... | 15,828 | [
[
-0.032623291015625,
-0.060882568359375,
0.036651611328125,
0.0203094482421875,
0.007198333740234375,
-0.0265655517578125,
-0.001338958740234375,
-0.033447265625,
-0.00492095947265625,
0.033599853515625,
-0.02691650390625,
-0.062164306640625,
-0.03125,
-0.014... |
facebook/mms-tts-tir | 2023-09-01T13:02:55.000Z | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | facebook | null | null | facebook/mms-tts-tir | 0 | 2,043 | transformers | 2023-09-01T13:02:37 |
---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Tigrigna Text-to-Speech
This repository contains the **Tigrigna (tir)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.... | 4,122 | [
[
-0.022918701171875,
-0.060302734375,
0.019073486328125,
0.038330078125,
-0.00574493408203125,
-0.00199127197265625,
-0.0223388671875,
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0.024261474609375,
0.013214111328125,
-0.05303955078125,
-0.041900634765625,
-0.040771484375,
0.001983642... |
hyunwoongko/kobart | 2022-08-16T20:01:59.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"ko",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | hyunwoongko | null | null | hyunwoongko/kobart | 5 | 2,042 | transformers | 2022-03-02T23:29:05 | ---
language: ko
tags:
- bart
license: mit
---
## KoBART-base-v2
With the addition of chatting data, the model is trained to handle the semantics of sequences longer than KoBART.
```python
from transformers import PreTrainedTokenizerFast, BartModel
tokenizer = PreTrainedTokenizerFast.from_pretrained('hyunwoongko/ko... | 506 | [
[
-0.0279541015625,
-0.0452880859375,
0.0222930908203125,
0.0300445556640625,
-0.059814453125,
0.01136016845703125,
-0.01021575927734375,
-0.0275726318359375,
0.01593017578125,
0.06097412109375,
-0.052947998046875,
-0.0290985107421875,
-0.0628662109375,
-0.000... |
timm/resnetv2_101x3_bit.goog_in21k | 2023-03-22T21:15:55.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k",
"arxiv:1912.11370",
"arxiv:1603.05027",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnetv2_101x3_bit.goog_in21k | 1 | 2,042 | timm | 2023-03-22T21:09:28 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for resnetv2_101x3_bit.goog_in21k
A ResNet-V2-BiT (Big Transfer w/ pre-activation ResNet) image classification model. Trained on ImageNet-21k by paper authors.
This model uses:
* Group Normalization... | 4,528 | [
[
-0.03436279296875,
-0.0272979736328125,
0.0018339157104492188,
0.003086090087890625,
-0.0280914306640625,
-0.02899169921875,
-0.02325439453125,
-0.0338134765625,
0.018829345703125,
0.0362548828125,
-0.02947998046875,
-0.044921875,
-0.05438232421875,
-0.01081... |
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