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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
zarakiquemparte/zaraxe-l2-7b | 2023-08-23T16:22:35.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | zarakiquemparte | null | null | zarakiquemparte/zaraxe-l2-7b | 0 | 5,474 | transformers | 2023-08-23T15:38:10 | ---
license: other
tags:
- llama2
---
# Model Card: ZaraXE L2 7b
This model uses [Zarafusionex L2 7b without LimaRP](https://huggingface.co/zarakiquemparte/zarafusionex-l2-7b) (71%) as a base with [Airoboros L2 7B GPT4 2.0](https://huggingface.co/jondurbin/airoboros-l2-7b-gpt4-2.0) (29%) and the result of this merge wa... | 1,441 | [
[
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0.0311279296875,
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0.0184783935546875,
-0.037994384765625,
0.028289794921875,
0.054718017578125,
-0.06512451171875,
-0.031768798828125,
-0.0400390625,
-0.0220794677734... |
zarakiquemparte/zaraxls-l2-7b | 2023-08-27T16:39:30.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | zarakiquemparte | null | null | zarakiquemparte/zaraxls-l2-7b | 1 | 5,473 | transformers | 2023-08-27T02:43:05 | ---
license: other
tags:
- llama2
---
# Model Card: ZaraXLS L2 7b
This model uses [Nous Hermes Llama2 7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) (53%) as a base with [Stable Beluga 7b](https://huggingface.co/stabilityai/StableBeluga-7B) (47%) and the result of this merge was merged with [Airoboros ... | 1,530 | [
[
-0.034393310546875,
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0.0288238525390625,
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0.02154541015625,
-0.05047607421875,
0.030242919921875,
0.058197021484375,
-0.0643310546875,
-0.028564453125,
-0.036346435546875,
-0.011238... |
titan087/OpenLlama13B-Guanaco | 2023-06-26T09:29:39.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | titan087 | null | null | titan087/OpenLlama13B-Guanaco | 1 | 5,471 | transformers | 2023-06-26T08:12:48 | Open Llama 13b Finetuned using Qlora on the Guanaco dataset
---
datasets:
- timdettmers/openassistant-guanaco
--- | 114 | [
[
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0.042388916015625,
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0... |
zarakiquemparte/zarafusionix-l2-7b | 2023-08-18T14:50:15.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | zarakiquemparte | null | null | zarakiquemparte/zarafusionix-l2-7b | 0 | 5,470 | transformers | 2023-08-18T13:35:55 | ---
license: other
tags:
- llama2
---
# Model Card: Zarafusionix L2 7b
This model uses [Nous Hermes Llama2 7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) (62%) as a base with [Stable Beluga 7b](https://huggingface.co/stabilityai/StableBeluga-7B) (38%) and the result of this merge was merged with [LimaR... | 1,417 | [
[
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0.06121826171875,
-0.06695556640625,
-0.0350341796875,
-0.037994384765625,
-0.00691... |
Seznam/small-e-czech | 2022-08-26T14:05:35.000Z | [
"transformers",
"pytorch",
"tf",
"electra",
"cs",
"arxiv:2003.10555",
"arxiv:2112.01810",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | Seznam | null | null | Seznam/small-e-czech | 14 | 5,469 | transformers | 2022-03-02T23:29:05 | ---
language: cs
license: cc-by-4.0
---
# Small-E-Czech
Small-E-Czech is an [Electra](https://arxiv.org/abs/2003.10555)-small model pretrained on a Czech web corpus created at [Seznam.cz](https://www.seznam.cz/) and introduced in an [IAAI 2022 paper](https://arxiv.org/abs/2112.01810). Like other pretrained models, it... | 2,157 | [
[
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0.034027099609375,
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-0.02569580078125,
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... |
Envoid/Yousei-22B | 2023-09-05T06:53:37.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Envoid | null | null | Envoid/Yousei-22B | 1 | 5,468 | transformers | 2023-09-04T05:14:01 | # This model may output NSFW content
## About
This model started as a block-diagonal [frankenllama merge](https://huggingface.co/chargoddard/llama2-22b) between [MythoMax13B](https://huggingface.co/Gryphe/MythoMax-L2-13b) and [Enterredaas33B](https://huggingface.co/Aeala/Enterredaas-33b)
However due to some anomaly ... | 3,187 | [
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-0.033905029296875,
0.01169586181... |
xzuyn/Alpacino-SuperCOT-13B | 2023-05-22T15:51:22.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"alpaca",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | xzuyn | null | null | xzuyn/Alpacino-SuperCOT-13B | 4 | 5,467 | transformers | 2023-05-14T01:03:59 | ---
tags:
- llama
- alpaca
---
This was made as a test to see if I my PC can handle merging.
# Alpacino-SuperCOT-13B Recipe
Alpacino-13B + LLaMa-SuperCOT-13B (50%/50%)
## Original Models:
Alpacino-13B: https://huggingface.co/digitous/Alpacino13b
LLaMa-SuperCOT-13B: https://huggingface.co/ausboss/llama-13b-supercot | 318 | [
[
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0.01945495... |
togethercomputer/GPT-JT-6B-v0 | 2022-11-24T09:07:01.000Z | [
"transformers",
"pytorch",
"gptj",
"text-generation",
"gpt",
"en",
"dataset:natural_instructions",
"dataset:the_pile",
"dataset:cot",
"dataset:Muennighoff/P3",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | togethercomputer | null | null | togethercomputer/GPT-JT-6B-v0 | 2 | 5,464 | transformers | 2022-11-22T12:26:50 | ---
language:
- en
datasets:
- natural_instructions
- the_pile
- cot
- Muennighoff/P3
tags:
- gpt
pipeline_tag: text-generation
inference:
parameters:
temperature: 0.1
widget:
- text: "Is this review positive or negative? Review: Best cast iron skillet you will ever buy. Answer:"
example_title: "Se... | 562 | [
[
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-0.027069091796875,
-0.04425048828125,
0.011... |
zarakiquemparte/zarablend-l2-7b | 2023-08-17T18:48:36.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | zarakiquemparte | null | null | zarakiquemparte/zarablend-l2-7b | 10 | 5,463 | transformers | 2023-08-17T10:28:36 | ---
license: other
tags:
- llama2
---
# Model Card: Zarablend L2 7b
This model uses [Nous Hermes Llama2 7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) (66%) as a base with [Airoboros L2 7B GPT4 2.0](https://huggingface.co/jondurbin/airoboros-l2-7b-gpt4-2.0) (34%) and the result of this merge was merged... | 1,575 | [
[
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0.023101806640625,
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-0.0245361328125,
0.021636962890625,
-0.036163330078125,
0.02557373046875,
0.061614990234375,
-0.0540771484375,
-0.03631591796875,
-0.04022216796875,
-0.016220092773... |
yulan-team/YuLan-Chat-2-13b-fp16 | 2023-09-01T01:57:41.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | yulan-team | null | null | yulan-team/YuLan-Chat-2-13b-fp16 | 9 | 5,460 | transformers | 2023-08-04T04:12:11 | ---
license: mit
---
<div align=center>
<h1>YuLan-Chat: An Open-Source Bilingual Chatbot</h1>
</div>
YuLan-Chat models are chat-based large language models, which are developed by the researchers in GSAI, Renmin University of China (YuLan, which represents Yulan Magnolia, is the campus flower of Renmin University of Ch... | 10,691 | [
[
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0.0438232421875,
0.00772857666015625,
-0.037078857421875,
-0.028900146484375,
-0.03515625,
-0.00... |
facebook/xmod-base | 2023-10-06T11:27:37.000Z | [
"transformers",
"pytorch",
"xmod",
"fill-mask",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"ga",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"i... | fill-mask | facebook | null | null | facebook/xmod-base | 12 | 5,459 | transformers | 2022-12-31T11:43:02 | ---
language:
- multilingual
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- ga
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- ka
- kk
- km
- kn
- ko
- ku
- ky
... | 9,020 | [
[
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0.032440185546875,
0.0259246826171875,
-0.05010986328125,
-0.032012939453125,
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0.012... |
jondurbin/airoboros-l2-13b-3.0 | 2023-10-05T11:20:45.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-3.0",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | jondurbin | null | null | jondurbin/airoboros-l2-13b-3.0 | 7 | 5,458 | transformers | 2023-10-01T23:23:39 | ---
license: llama2
datasets:
- jondurbin/airoboros-3.0
---
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
#### IMPORTANT NOTE - llama-2 chat format!!!
The airobors 3.0 models have been updated to use llama-2 chat format, rather t... | 23,953 | [
[
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0.033905029296875,
0.02734375,
-0.0675048828125,
-0.0428466796875,
-0.028533935546875,
0.0069... |
google/bigbird-pegasus-large-bigpatent | 2023-01-24T16:36:44.000Z | [
"transformers",
"pytorch",
"bigbird_pegasus",
"text2text-generation",
"summarization",
"en",
"dataset:big_patent",
"arxiv:2007.14062",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | google | null | null | google/bigbird-pegasus-large-bigpatent | 28 | 5,454 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- big_patent
tags:
- summarization
---
# BigBirdPegasus model (large)
BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the ca... | 2,825 | [
[
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-0.040374755859375,
0.0291900634765625,
0.00872802734375,
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-0.01200103759765625,
-0.055633544921875,
... |
wenge-research/yayi-7b | 2023-09-08T09:43:19.000Z | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"yayi",
"zh",
"en",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | wenge-research | null | null | wenge-research/yayi-7b | 28 | 5,454 | transformers | 2023-06-02T02:23:58 | ---
language:
- zh
- en
pipeline_tag: text-generation
tags:
- yayi
---
# 雅意大模型
## 介绍
雅意大模型在百万级人工构造的高质量领域数据上进行指令微调得到，训练数据覆盖媒体宣传、舆情分析、公共安全、金融风控、城市治理等五大领域，上百种自然语言指令任务。雅意大模型从预训练初始化权重到领域模型的迭代过程中，我们逐步增强了它的中文基础能力和领域分析能力，并增加了部分插件能力。同时，经过数百名用户内测过程中持续不断的人工反馈优化，我们进一步提升了模型性能和安全性。
通过雅意大模型的开源为促进中文预训练大模型开源社区的发展，贡献自己的一份力量，通过开源，与每一位合... | 8,004 | [
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nghuyong/ernie-1.0-base-zh | 2022-09-10T09:37:26.000Z | [
"transformers",
"pytorch",
"ernie",
"fill-mask",
"zh",
"arxiv:1904.09223",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | nghuyong | null | null | nghuyong/ernie-1.0-base-zh | 15 | 5,452 | transformers | 2022-03-02T23:29:05 | ---
language: zh
---
# ERNIE-1.0
## Introduction
ERNIE (Enhanced Representation through kNowledge IntEgration) is proposed by Baidu in 2019,
which is designed to learn language representation enhanced by knowledge masking strategies i.e. entity-level masking and phrase-level masking.
Experimental results show that ... | 1,498 | [
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TheBloke/Llama-2-7B-Chat-GGML | 2023-09-27T13:00:17.000Z | [
"transformers",
"llama",
"facebook",
"meta",
"pytorch",
"llama-2",
"text-generation",
"en",
"arxiv:2307.09288",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-7B-Chat-GGML | 618 | 5,452 | transformers | 2023-07-18T17:38:15 | ---
language:
- en
license: other
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 7B Chat
arxiv: 2307.09288
inference: false
model_creator: Meta Llama 2
model_link: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf
model_type: llama
pipeline_tag: text-generation
quantized_by: TheBloke
base_mo... | 23,038 | [
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0.00... |
TheBloke/WizardLM-13B-1.0-fp16 | 2023-06-05T00:10:30.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2304.12244",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/WizardLM-13B-1.0-fp16 | 10 | 5,443 | transformers | 2023-05-27T16:25:31 | ---
inference: false
license: other
---
<!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<div style=... | 14,778 | [
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-0.028045654296875,
-0.028289794921875,
... |
microsoft/prophetnet-large-uncased | 2023-04-27T09:41:22.000Z | [
"transformers",
"pytorch",
"rust",
"safetensors",
"prophetnet",
"text2text-generation",
"en",
"arxiv:2001.04063",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | microsoft | null | null | microsoft/prophetnet-large-uncased | 4 | 5,441 | transformers | 2022-03-02T23:29:05 | ---
language: en
---
## prophetnet-large-uncased
Pretrained weights for [ProphetNet](https://arxiv.org/abs/2001.04063).
ProphetNet is a new pre-trained language model for sequence-to-sequence learning with a novel self-supervised objective called future n-gram prediction.
ProphetNet is able to predict more future ... | 1,676 | [
[
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-0.00623321533203125,
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0.0286865234375,
0.031707763671875,
-0.045806884765625,
-0.03759765625,
-0.07080078125,
0.02699279... |
google/t5-xl-lm-adapt | 2023-01-24T16:52:44.000Z | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"t5-lm-adapt",
"en",
"dataset:c4",
"arxiv:2002.05202",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | google | null | null | google/t5-xl-lm-adapt | 11 | 5,436 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- c4
tags:
- t5-lm-adapt
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) Version 1.1 - LM-Adapted
## Version 1.1 - LM-Adapted
[T5 Version 1.1 - LM Adapted](https://github.com/google-research/text-to-text-transfer-transform... | 3,198 | [
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0.032745361328125,
-0.05438232421875,
-0.043365478515625,
-0.06146240234375,
0... |
Guizmus/MosaicArt | 2023-03-06T16:20:51.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"image-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Guizmus | null | null | Guizmus/MosaicArt | 33 | 5,436 | diffusers | 2022-12-01T14:43:57 | ---
language:
- en
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/Guizmus/MosaicArt/resolve/main/showcase.jpg"
tags:
- stable-diffusion
- text-to-image
- image-to-image
---
# Mosaic Art
## Details
This is a Dreamboothed... | 2,841 | [
[
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0.006107330322265625,
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0.032928466796875,
-0.0289306640625,
-0.034271240234375,
-0.057220458984375,
-0.012... |
caidas/swin2SR-classical-sr-x2-64 | 2023-01-21T12:07:31.000Z | [
"transformers",
"pytorch",
"swin2sr",
"image-to-image",
"vision",
"arxiv:2209.11345",
"license:apache-2.0",
"has_space",
"region:us"
] | image-to-image | caidas | null | null | caidas/swin2SR-classical-sr-x2-64 | 7 | 5,435 | transformers | 2022-12-16T14:05:18 | ---
license: apache-2.0
tags:
- vision
- image-to-image
inference: false
---
# Swin2SR model (image super-resolution)
Swin2SR model that upscales images x2. It was introduced in the paper [Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration](https://arxiv.org/abs/2209.11345)
by Conde et ... | 642 | [
[
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0.022003173828125,
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0.0039043426513671875,
0.027008056640625,
-0.050506591796875,
0.020111083984375,
-0.0430297851562... |
ai-forever/sbert_large_mt_nlu_ru | 2023-07-28T10:13:22.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"PyTorch",
"Transformers",
"ru",
"endpoints_compatible",
"region:us"
] | feature-extraction | ai-forever | null | null | ai-forever/sbert_large_mt_nlu_ru | 13 | 5,430 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- PyTorch
- Transformers
---
# BERT large model multitask (cased) for Sentence Embeddings in Russian language.
The model is described [in this article](https://habr.com/ru/company/sberdevices/blog/560748/)
Russian SuperGLUE [metrics](https://russiansuperglue.com/login/submit_info/944)
For b... | 2,016 | [
[
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0.0244140625,
0.01837158203125,
-0.052642822265625,
-0.0484619140625,
-0.048126220703125,
-0.014320373... |
TFLai/gpt2-turkish-uncased | 2023-09-29T10:22:02.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | TFLai | null | null | TFLai/gpt2-turkish-uncased | 1 | 5,422 | transformers | 2023-05-07T11:30:01 | ---
license: mit
---
<a href="https://www.buymeacoffee.com/PulsarAI" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
| 241 | [
[
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0.06719970703125,
0.007633209228515625,
-0.042510986328125,
-0.0189361572265625,
-0.03179931640625,
... |
MAGAer13/mplug-owl-llama-7b | 2023-06-06T07:26:32.000Z | [
"transformers",
"pytorch",
"mplug-owl",
"image-to-text",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | MAGAer13 | null | null | MAGAer13/mplug-owl-llama-7b | 11 | 5,416 | transformers | 2023-05-08T08:53:39 | ---
license: apache-2.0
language:
- en
pipeline_tag: image-to-text
tags:
- mplug-owl
---
# Usage
## Get the latest codebase from Github
```Bash
git clone https://github.com/X-PLUG/mPLUG-Owl.git
```
## Model initialization
```Python
from mplug_owl.modeling_mplug_owl import MplugOwlForConditionalGeneration
from mplug_o... | 2,166 | [
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-0.00817108154296875,
0.025421142578125,
-0.051788330078125,
-0.0338134765625,
-0.048980712890625,
... |
hotshotco/SDXL-512 | 2023-10-07T14:43:07.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | hotshotco | null | null | hotshotco/SDXL-512 | 33 | 5,412 | diffusers | 2023-10-03T08:30:59 | ---
license: openrail++
tags:
- text-to-image
- stable-diffusion
---
<hr>
# Overview
SDXL-512 is a checkpoint fine-tuned from SDXL 1.0 that is designed to more simply generate higher-fidelity imag... | 3,025 | [
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0.040069580078125,
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flair/chunk-english-fast | 2023-04-05T11:50:33.000Z | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"en",
"dataset:conll2000",
"region:us"
] | token-classification | flair | null | null | flair/chunk-english-fast | 4 | 5,409 | flair | 2022-03-02T23:29:05 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: en
datasets:
- conll2000
widget:
- text: "The happy man has been eating at the diner"
---
## English Chunking in Flair (fast model)
This is the fast phrase chunking model for English that ships with [Flair](https://github.com/flairNLP/flair/).... | 3,728 | [
[
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0.01407623291015625,
-0.0311279296875,
-0.02386474609375,
-0.03472900390625,
... |
OrbitalWitness/distilbert-finetuned-headings | 2023-10-31T14:35:00.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | OrbitalWitness | null | null | OrbitalWitness/distilbert-finetuned-headings | 0 | 5,409 | transformers | 2023-10-31T14:34:20 | ---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: distilbert-finetuned-headings
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... | 2,387 | [
[
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0.023162841796875,
0.02252197265625,
-0.05621337890625,
-0.051422119140625,
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... |
PocketDoc/Dans-AdventurousWinds-7b | 2023-10-07T20:28:43.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:PocketDoc/Floyd-Text-Adventures",
"dataset:PocketDoc/Choose-Your-Story-Long-Text-Adventures",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | PocketDoc | null | null | PocketDoc/Dans-AdventurousWinds-7b | 7 | 5,407 | transformers | 2023-10-04T01:00:24 | ---
language:
- en
datasets:
- PocketDoc/Floyd-Text-Adventures
- PocketDoc/Choose-Your-Story-Long-Text-Adventures
---
# What is the model for?
This model is proficient in crafting text-based adventure games. It can both concise replies and more expansive, novel-like descriptions. The ability to alternate between these ... | 8,261 | [
[
-0.046112060546875,
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0.039703369140625,
-0.0633544921875,
-0.0184326171875,
-0.046051025390625,
0.006267... |
yiyanghkust/finbert-pretrain | 2022-10-17T00:38:42.000Z | [
"transformers",
"pytorch",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | yiyanghkust | null | null | yiyanghkust/finbert-pretrain | 25 | 5,396 | transformers | 2022-03-02T23:29:05 | `FinBERT` is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice. It is trained on the following three financial communication corpus. The total corpora size is 4.9B tokens.
- Corporate Reports 10-K & 10-Q: 2.5B tokens
- Earnings Call Transcripts: 1.3... | 1,095 | [
[
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0.020751953125,
0.050201416015625,
-0.032196044921875,
-0.04058837890625,
-0.037200927734375,
-0.00... |
Yntec/Cute | 2023-10-10T05:12:02.000Z | [
"diffusers",
"Anime",
"Midjourney",
"NijiV5",
"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/Cute | 0 | 5,396 | diffusers | 2023-10-10T03:55:49 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Midjourney
- NijiV5
- DucHaiten
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# DucHaitenNiji Cute v2.3.5
Original page: https://civitai.com/models/70921?modelVersionId=80635
Suppo... | 807 | [
[
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0.07684326171875,
0.04119873046875,
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-0.037506103515625,
-0.039215087890625,
0.03034... |
HuggingFaceM4/idefics-80b-instruct | 2023-10-12T18:44:04.000Z | [
"transformers",
"pytorch",
"safetensors",
"idefics",
"pretraining",
"multimodal",
"text",
"image",
"image-to-text",
"text-generation",
"en",
"dataset:HuggingFaceM4/OBELICS",
"dataset:wikipedia",
"dataset:facebook/pmd",
"dataset:laion/laion2B-en",
"arxiv:2303.12733",
"arxiv:2109.05014... | text-generation | HuggingFaceM4 | null | null | HuggingFaceM4/idefics-80b-instruct | 140 | 5,395 | transformers | 2023-07-25T03:19:23 | ---
language: en
tags:
- multimodal
- text
- image
- image-to-text
license: other
datasets:
- HuggingFaceM4/OBELICS
- wikipedia
- facebook/pmd
- laion/laion2B-en
pipeline_tag: text-generation
inference: false
---
<p align="center">
<img src="https://huggingface.co/HuggingFaceM4/idefics-80b/resolve/main/assets/IDEF... | 43,239 | [
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0.0288543701171875,
-0.0247802734375,
-0.003421783447265625,
-0.027557373046875,
-0.047332763671875,
0.003223419189453125,
0.0163421630859375,
-0.047271728515625,
-0.03759765625,
-0.047210693359375,
... |
ainize/kobart-news | 2021-06-29T02:51:15.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"summarization",
"ko",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | ainize | null | null | ainize/kobart-news | 15 | 5,380 | transformers | 2022-03-02T23:29:05 | ---
language: ko
license: mit
tags:
- summarization
- bart
---
# kobart-news
- This model is a [kobart](https://huggingface.co/hyunwoongko/kobart) fine-tuned on the [문서요약 텍스트/신문기사](https://aihub.or.kr/aidata/8054) using [Ainize Teachable-NLP](https://ainize.ai/teachable-nlp).
## Usage
### Python Code
```python
from tr... | 2,124 | [
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0.04052734375,
0.0154876708984375,
-0.0230712890625,
-0.05096435546875,
-0.050079345703125,
0.01605224... |
AchyuthGamer/ImMagician-Fantasy | 2023-10-04T01:19:58.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"MagicArt35",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | AchyuthGamer | null | null | AchyuthGamer/ImMagician-Fantasy | 2 | 5,372 | diffusers | 2023-10-03T11:49:46 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- MagicArt35
---
# ImMagician
This a Model which generates Images based on Prompts.
This is an amazing model which generates images with love, hones... | 1,055 | [
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0.03521728515625,
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-0.034759521484375,
-0.0416259765625,
0.0... |
tau/splinter-base | 2021-08-17T14:09:19.000Z | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"SplinterModel",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | tau | null | null | tau/splinter-base | 1 | 5,367 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- splinter
- SplinterModel
license: apache-2.0
---
# Splinter base model
Splinter-base is the pretrained model discussed in the paper [Few-Shot Question Answering by Pretraining Span Selection](https://aclanthology.org/2021.acl-long.239/) (at ACL 2021). Its original repository can be found [h... | 2,667 | [
[
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0.015045166015625,
-0.035125732421875,
0.0186920166015625,
0.024444580078125,
-0.0709228515625,
-0.0298004150390625,
-0.0304718017578125,
0.005... |
sismetanin/rubert-ru-sentiment-rusentiment | 2021-05-20T06:11:34.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"sentiment analysis",
"Russian",
"ru",
"endpoints_compatible",
"region:us"
] | text-classification | sismetanin | null | null | sismetanin/rubert-ru-sentiment-rusentiment | 3 | 5,364 | transformers | 2022-03-02T23:29:05 | ---
language:
- ru
tags:
- sentiment analysis
- Russian
---
## RuBERT-Base-ru-sentiment-RuSentiment
RuBERT-ru-sentiment-RuSentiment is a [RuBERT](https://huggingface.co/DeepPavlov/rubert-base-cased) model fine-tuned on [RuSentiment dataset](https://github.com/text-machine-lab/rusentiment) of general-domain Russian-l... | 6,333 | [
[
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0.030426025390625,
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-0.0537109375,
-0.023651123046875,
-0.048583984375,
0.00... |
google/electra-small-generator | 2022-11-02T19:47:23.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"electra",
"fill-mask",
"en",
"arxiv:1406.2661",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | google | null | null | google/electra-small-generator | 5 | 5,363 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail: https://huggingface.co/front/thumbnails/google.png
license: apache-2.0
---
**WARNING**: This is the official generator checkpoint as in the [ELECTRA original codebase](https://github.com/google-research/electra). However, this model is not scaled properly for pre-training with [google/elec... | 2,309 | [
[
-0.040374755859375,
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0.0... |
TheBloke/Mistral-7B-Instruct-v0.1-GGUF | 2023-09-28T22:43:11.000Z | [
"transformers",
"mistral",
"finetuned",
"text-generation",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Mistral-7B-Instruct-v0.1-GGUF | 243 | 5,355 | transformers | 2023-09-27T17:49:54 | ---
base_model: mistralai/Mistral-7B-Instruct-v0.1
inference: false
license: apache-2.0
model_creator: Mistral AI
model_name: Mistral 7B Instruct v0.1
model_type: mistral
pipeline_tag: text-generation
prompt_template: '<s>[INST]{prompt} [/INST]
'
quantized_by: TheBloke
tags:
- finetuned
---
<!-- header start -->
<!... | 19,143 | [
[
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nvidia/segformer-b1-finetuned-ade-512-512 | 2022-08-06T10:08:05.000Z | [
"transformers",
"pytorch",
"tf",
"segformer",
"vision",
"image-segmentation",
"dataset:scene_parse_150",
"arxiv:2105.15203",
"license:other",
"endpoints_compatible",
"region:us"
] | image-segmentation | nvidia | null | null | nvidia/segformer-b1-finetuned-ade-512-512 | 0 | 5,346 | transformers | 2022-03-02T23:29:05 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- scene_parse_150
widget:
- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg
example_title: House
- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_0... | 3,090 | [
[
-0.0689697265625,
-0.055328369140625,
0.01145172119140625,
0.0143280029296875,
-0.024658203125,
-0.0278472900390625,
0.00046253204345703125,
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0.023712158203125,
0.042388916015625,
-0.06689453125,
-0.042633056640625,
-0.05694580078125,
0.00... |
consciousAI/question-answering-roberta-base-s | 2022-11-21T22:11:48.000Z | [
"transformers",
"pytorch",
"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 | 3 | 5,346 | transformers | 2022-10-18T19:36:48 | ---
license: apache-2.0
tags:
- Question Answering
metrics:
- squad
model-index:
- name: question-answering-roberta-base-s
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 & confidence scor... | 2,514 | [
[
-0.036376953125,
-0.0738525390625,
0.0278472900390625,
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0.003734588623046875,
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0.005664825439453125,
0.0236358642578125,
-0.0743408203125,
-0.0285797119140625,
-0.03753662109375... |
jinaai/flat-2d-animerge | 2023-08-02T09:20:40.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dreambooth",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | jinaai | null | null | jinaai/flat-2d-animerge | 6 | 5,342 | diffusers | 2023-07-17T22:23:26 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- dreambooth
pipeline_tag: text-to-image
inference: true
---
# flat-2d-animerge
This is a checkpoint made by [bigbeanboiler](https://civitai.com/models/35960) and... | 506 | [
[
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0.03656005859375,
0.036041259765625,
-0.039794921875,
-0.033172607421875,
-0.0367431640625,
... |
bhenrym14/mistral-7b-platypus-fp16 | 2023-10-02T20:51:46.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"dataset:garage-bAInd/Open-Platypus",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | bhenrym14 | null | null | bhenrym14/mistral-7b-platypus-fp16 | 0 | 5,329 | transformers | 2023-10-02T20:00:28 | ---
datasets:
- garage-bAInd/Open-Platypus
---
# Instruction tune of Mistral-7B-v0.1 with Open-Platypus (fp16)
## Overview
This is [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1), with instruction tuning performed with the [garage-bAInd/Open-Platypus](https://huggingface.co/datasets/ga... | 1,936 | [
[
-0.0472412109375,
-0.04150390625,
0.013916015625,
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-0.0172271728515625,
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0.02264404296875,
-0.053192138671875,
-0.02294921875,
-0.0367431640625,
-0.00946044921... |
PulsarAI/Samantha-Nebula-7B | 2023-10-05T12:53:37.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | PulsarAI | null | null | PulsarAI/Samantha-Nebula-7B | 0 | 5,326 | transformers | 2023-10-05T12:39:45 | ---
license: cc-by-nc-4.0
datasets:
- garage-bAInd/Open-Platypus
language:
- en
---
<a href="https://www.buymeacoffee.com/PulsarAI" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
# Samantha-Nebul... | 874 | [
[
-0.0255584716796875,
-0.029754638671875,
0.0390625,
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0.0167694091796875,
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0.011184... |
timm/convnext_small.in12k_ft_in1k_384 | 2023-03-31T22:36:59.000Z | [
"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_384 | 0 | 5,323 | timm | 2023-01-18T20:12:19 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for convnext_small.in12k_ft_in1k_384
A ConvNeXt image classification model. Pretrained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) and fine-tuned on ImageNet-1... | 15,989 | [
[
-0.0672607421875,
-0.03253173828125,
-0.0024814605712890625,
0.03509521484375,
-0.032257080078125,
-0.01468658447265625,
-0.01242828369140625,
-0.03631591796875,
0.0628662109375,
0.017547607421875,
-0.044219970703125,
-0.0423583984375,
-0.051849365234375,
-0... |
caidas/swin2SR-realworld-sr-x4-64-bsrgan-psnr | 2023-01-21T12:08:28.000Z | [
"transformers",
"pytorch",
"swin2sr",
"image-to-image",
"vision",
"arxiv:2209.11345",
"license:apache-2.0",
"region:us"
] | image-to-image | caidas | null | null | caidas/swin2SR-realworld-sr-x4-64-bsrgan-psnr | 6 | 5,320 | transformers | 2022-12-16T14:13:44 | ---
license: apache-2.0
tags:
- vision
- image-to-image
inference: false
---
# Swin2SR model (image super-resolution)
Swin2SR model that upscales images x4. It was introduced in the paper [Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration](https://arxiv.org/abs/2209.11345)
by Conde et ... | 653 | [
[
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-0.01824951171875,
0.0246429443359375,
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0.0034732818603515625,
0.027557373046875,
-0.0548095703125,
0.01824951171875,
-0.0367736816... |
Yntec/3DRendering | 2023-10-17T06:53:21.000Z | [
"diffusers",
"Anime",
"Illustration",
"Midjourney",
"LONGD",
"s6yx",
"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/3DRendering | 4 | 5,311 | diffusers | 2023-10-07T16:18:15 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Illustration
- Midjourney
- LONGD
- s6yx
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# 3DRendering
ReVAnimated with the 3DMM V3 LoRA merged in. It uses the Mois... | 1,052 | [
[
-0.040985107421875,
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-0.0245819091796875,
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-0.01626... |
The-Face-Of-Goonery/Huginn-19b-prototype | 2023-09-07T23:25:48.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | The-Face-Of-Goonery | null | null | The-Face-Of-Goonery/Huginn-19b-prototype | 1 | 5,301 | transformers | 2023-09-07T14:14:10 | Look I have no idea what this model can do or how good it is, I'm just putting it up so I can ask other people to help me test it.
I love creating unholy abominations of nature
this is undilewd + pygmalion
| 211 | [
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0.0185546875,
-0.03765869140625,
-0.005428314208984375,
-0.03338623046875,
0.01507568359... |
sequelbox/SharpBalance | 2023-10-16T23:17:46.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"sharp-balance",
"llama-2",
"llama-2-chat",
"70b",
"en",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | sequelbox | null | null | sequelbox/SharpBalance | 3 | 5,291 | transformers | 2023-10-06T00:08:02 | ---
language:
- en
pipeline_tag: text-generation
tags:
- sharp-balance
- llama
- llama-2
- llama-2-chat
- 70b
model_type: llama
license: llama2
---
Sharp Balance is a general capability upgrade to Llama 2, using open source data to improve overall knowledge, extended communication, and technical skill.
This model is ... | 875 | [
[
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0.021942138671875,
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0.02569580078125,
0.0270233154296875,
-0.04315185546875,
-0.0212554931640625,
-0.0361328125,
-0.0211... |
stabilityai/japanese-stablelm-base-alpha-7b | 2023-08-22T09:36:29.000Z | [
"transformers",
"pytorch",
"text-generation",
"japanese-stablelm",
"causal-lm",
"custom_code",
"ja",
"dataset:wikipedia",
"dataset:mc4",
"dataset:cc100",
"dataset:oscar-corpus/OSCAR-2301",
"dataset:oscar-corpus/OSCAR-2201",
"dataset:togethercomputer/RedPajama-Data-1T",
"license:apache-2.0"... | text-generation | stabilityai | null | null | stabilityai/japanese-stablelm-base-alpha-7b | 105 | 5,283 | transformers | 2023-08-09T14:30:09 | ---
language:
- ja
tags:
- japanese-stablelm
- causal-lm
pipeline_tag: text-generation
datasets:
- wikipedia
- mc4
- cc100
- oscar-corpus/OSCAR-2301
- oscar-corpus/OSCAR-2201
- togethercomputer/RedPajama-Data-1T
license:
- apache-2.0
---
# Japanese-StableLM-Base-Alpha-7B
![japanese-stablelm-icon](./japanese-stablelm-... | 6,614 | [
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0.0167694091796875,
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-0.047088623046875,
-0.041107177734375,
0.0... |
Hemlok/QuinceMix | 2023-03-26T12:33:28.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"art",
"ja",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Hemlok | null | null | Hemlok/QuinceMix | 23 | 5,276 | diffusers | 2023-03-26T08:50:08 | ---
license: creativeml-openrail-m
language:
- ja
tags:
- stable-diffusion
- text-to-image
- art
library_name: diffusers
---
# ◆QuinceMix
- "Defacta"ベースのマージモデルです。
- 背景やエフェクトに強いモデルです。
----
# ◆Discord
[Join Discord Server](https://discord.gg/eN6aSWRddT)
- Hemlokのマージコミュニティです。レシピとか裏話はこちら。
----... | 2,371 | [
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microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft | 2022-12-10T10:09:19.000Z | [
"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-large-patch4-window12to16-192to256-22kto1k-ft | 0 | 5,271 | transformers | 2022-06-16T05:23:35 | ---
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... | 4,266 | [
[
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0.031524658203125,
-0.039520263671875,
-0.001216888427734375,
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... |
zatochu/EasyFluff | 2023-10-07T21:33:47.000Z | [
"diffusers",
"arxiv:2305.08891",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | zatochu | null | null | zatochu/EasyFluff | 17 | 5,271 | diffusers | 2023-08-12T22:49:28 | V10-FunnerEdition?
- Tweaked UNET with supermerger adjust to dial back noise/detail that can resolve eye sclera bleed in some cases.
- Adjusted contrast and color temperature. (Less orange/brown by default)
- CLIP should theoretically respond more to natural language. (Don't conflate this with tags not working or havi... | 1,848 | [
[
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0.0005331039428710938,
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... |
Helsinki-NLP/opus-mt-tc-big-zls-en | 2023-10-10T10:31:05.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"opus-mt-tc",
"bg",
"bs",
"en",
"hr",
"mk",
"sh",
"sl",
"sr",
"zls",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-tc-big-zls-en | 0 | 5,270 | transformers | 2022-04-13T17:12:36 | ---
language:
- bg
- bs
- en
- hr
- mk
- sh
- sl
- sr
- zls
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-zls-en
results:
- task:
name: Translation bul-eng
type: translation
args: bul-eng
dataset:
name: flores101-devtest
type: flores_101
... | 9,559 | [
[
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-0.040191650390625,
0.0... |
h2oai/h2ogpt-4096-llama2-70b-chat | 2023-08-24T18:35:23.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"h2ogpt",
"en",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | h2oai | null | null | h2oai/h2ogpt-4096-llama2-70b-chat | 9 | 5,264 | transformers | 2023-08-09T17:19:18 | ---
inference: false
language:
- en
license: llama2
model_type: llama
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- h2ogpt
---
h2oGPT clone of [Meta's Llama 2 70B Chat](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf).
Try it live on our [h2oGPT demo](https://gpt.h2o.ai) wi... | 1,643 | [
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Yntec/DreamFulV2 | 2023-10-09T17:53:31.000Z | [
"diffusers",
"Anime",
"Portrait",
"3D",
"Hius",
"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/DreamFulV2 | 1 | 5,262 | diffusers | 2023-10-09T16:55:48 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Portrait
- 3D
- Hius
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# DreamFul V2
Original page: https://civitai.com/models/17754?modelVersionId=33141
Samples and prompt:
![Sample... | 731 | [
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bergum/xtremedistil-l6-h384-go-emotion | 2023-03-21T11:55:16.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"dataset:go_emotions",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | bergum | null | null | bergum/xtremedistil-l6-h384-go-emotion | 6 | 5,255 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
datasets:
- go_emotions
metrics:
- accuracy
model-index:
- name: xtremedistil-emotion
results:
- task:
name: Multi Label Text Classification
type: multi_label_classification
dataset:
name: go_emotions
type: emotion
args: default
metrics:
- name: Acc... | 1,646 | [
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facebook/incoder-1B | 2023-01-24T17:06:37.000Z | [
"transformers",
"pytorch",
"xglm",
"text-generation",
"code",
"python",
"javascript",
"arxiv:2204.05999",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | facebook | null | null | facebook/incoder-1B | 34 | 5,248 | transformers | 2022-04-08T15:40:08 | ---
license: "cc-by-nc-4.0"
tags:
- code
- python
- javascript
---
# InCoder 1B
A 1B parameter decoder-only Transformer model trained on code using a causal-masked objective, which allows inserting/infilling code as well as standard left-to-right generation.
The model was trained on public open-source repositories w... | 2,461 | [
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0.012329101... |
apple/deeplabv3-mobilevit-xx-small | 2022-08-29T07:57:26.000Z | [
"transformers",
"pytorch",
"tf",
"coreml",
"mobilevit",
"vision",
"image-segmentation",
"dataset:pascal-voc",
"arxiv:2110.02178",
"arxiv:1706.05587",
"license:other",
"endpoints_compatible",
"region:us"
] | image-segmentation | apple | null | null | apple/deeplabv3-mobilevit-xx-small | 6 | 5,245 | transformers | 2022-05-30T12:52:28 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- pascal-voc
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-2.jpg
example_title: Cat
---
# MobileViT + DeepLabV3 (extra extra small-sized model)
MobileViT model pre-trained on PASCAL VOC at resolution 512x512. It ... | 4,288 | [
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bugdaryan/Code-Llama-2-13B-instruct-text2sql | 2023-09-15T09:39:43.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:bugdaryan/sql-create-context-instruction",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | bugdaryan | null | null | bugdaryan/Code-Llama-2-13B-instruct-text2sql | 11 | 5,244 | transformers | 2023-09-06T16:41:05 | ---
license: llama2
datasets:
- bugdaryan/sql-create-context-instruction
language:
- en
pipeline_tag: text-generation
widget:
- text: "[INST] Write SQLite query to answer the following question given the database schema. Please wrap your code answer using ```: Schema: CREATE TABLE head (age INTEGER) Question: How many... | 7,746 | [
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0.0... |
cointegrated/rubert-tiny2-cedr-emotion-detection | 2023-03-20T09:52:11.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"russian",
"classification",
"sentiment",
"emotion-classification",
"multiclass",
"ru",
"dataset:cedr",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | cointegrated | null | null | cointegrated/rubert-tiny2-cedr-emotion-detection | 21 | 5,242 | transformers | 2022-03-02T23:29:05 | ---
language: ["ru"]
tags:
- russian
- classification
- sentiment
- emotion-classification
- multiclass
datasets:
- cedr
widget:
- text: "Бесишь меня, падла"
- text: "Как здорово, что все мы здесь сегодня собрались"
- text: "Как-то стрёмно, давай свалим отсюда?"
- text: "Грусть-тоска меня съедает"
- text: "Данный фрагм... | 1,680 | [
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sail-rvc/Drake_RVC | 2023-07-14T07:21:38.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/Drake_RVC | 1 | 5,240 | transformers | 2023-07-14T07:21:23 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# Drake_RVC
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:21:38
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into loa... | 377 | [
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elinas/chronos007-70b | 2023-10-12T19:10:18.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"chat",
"roleplay",
"storywriting",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | elinas | null | null | elinas/chronos007-70b | 3 | 5,240 | transformers | 2023-09-26T21:48:29 | ---
license: cc-by-nc-4.0
tags:
- chat
- roleplay
- storywriting
---
# chronos007-70b fp16
This is a merge of Chronos-70b-v2 and model 007 at a ratio of 0.3 using the SLERP method, with Chronos being the parent model. This is an experimental model that has improved Chronos'
logical and reasoning abilities while keep... | 2,224 | [
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timm/efficientnet_b1.ft_in1k | 2023-04-27T21:09:56.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"license:apache-2.0",
"has_space",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_b1.ft_in1k | 0 | 5,239 | timm | 2022-12-12T23:56:03 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_b1.ft_in1k
A EfficientNet image classification model. Fine-tuned on ImageNet-1k from original Tensorflow "SAME" padding weights for use in PyTorch.
## Model Details
- **Model Type:... | 4,076 | [
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timm/vit_base_patch16_224.augreg_in21k_ft_in1k | 2023-05-06T00:00:39.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_224.augreg_in21k_ft_in1k | 0 | 5,236 | timm | 2022-12-22T07:25:53 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_base_patch16_224.augreg_in21k_ft_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additional augmentation... | 3,906 | [
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dbmdz/bert-base-turkish-128k-cased | 2021-05-19T15:10:48.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"tr",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | null | dbmdz | null | null | dbmdz/bert-base-turkish-128k-cased | 8 | 5,231 | transformers | 2022-03-02T23:29:05 | ---
language: tr
license: mit
---
# 🤗 + 📚 dbmdz Turkish BERT model
In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
Library open sources a cased model for Turkish 🎉
# 🇹🇷 BERTurk
BERTurk is a community-driven cased BERT model for Turkish.
Some datasets used for pretraining and eval... | 2,937 | [
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ControlNet-1-1-preview/control_v11p_sd15_lineart | 2023-04-14T19:11:45.000Z | [
"diffusers",
"art",
"controlnet",
"stable-diffusion",
"arxiv:2302.05543",
"license:openrail",
"diffusers:ControlNetModel",
"region:us",
"has_space"
] | null | ControlNet-1-1-preview | null | null | ControlNet-1-1-preview/control_v11p_sd15_lineart | 12 | 5,225 | diffusers | 2023-04-13T09:18:01 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
---
# Controlnet - v1.1 - *lineart Version*
**Controlnet v1.1** is the successor model of [Controlnet v1.0](https://huggingface.co/lllyasviel/ControlNet)
and was released in [lllyasviel/ControlNet-v1-1](https:... | 5,799 | [
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timm/convnextv2_tiny.fcmae_ft_in22k_in1k_384 | 2023-03-31T23:41:29.000Z | [
"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_tiny.fcmae_ft_in22k_in1k_384 | 0 | 5,220 | timm | 2023-01-05T01:57:01 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_tiny.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... | 15,828 | [
[
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0.064453125,
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-0.052490234375,
-0.00405883... |
google/tapas-base-finetuned-sqa | 2021-11-29T11:41:09.000Z | [
"transformers",
"pytorch",
"tf",
"tapas",
"table-question-answering",
"en",
"dataset:msr_sqa",
"arxiv:2004.02349",
"arxiv:2010.00571",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | table-question-answering | google | null | null | google/tapas-base-finetuned-sqa | 4 | 5,217 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- tapas
- table-question-answering
license: apache-2.0
datasets:
- msr_sqa
---
# TAPAS base model fine-tuned on Sequential Question Answering (SQA)
This model has 2 versions which can be used. The default version corresponds to the `tapas_sqa_inter_masklm_base_reset` checkpoint of the [original... | 7,705 | [
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nreimers/MiniLM-L6-H384-uncased | 2021-08-30T20:05:29.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | nreimers | null | null | nreimers/MiniLM-L6-H384-uncased | 21 | 5,212 | transformers | 2022-03-02T23:29:05 | ---
license: mit
---
## MiniLM: 6 Layer Version
This is a 6 layer version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased/) by keeping only every second layer. | 215 | [
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timm/twins_svt_large.in1k | 2023-04-23T23:25:05.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.13840",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/twins_svt_large.in1k | 0 | 5,209 | timm | 2023-04-23T23:23:58 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for twins_svt_large.in1k
A Twins-SVT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:*... | 2,838 | [
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wangrongsheng/MiniGPT-4-LLaMA-7B | 2023-04-22T20:51:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"LLMs",
"MiniGPT-4",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | wangrongsheng | null | null | wangrongsheng/MiniGPT-4-LLaMA-7B | 15 | 5,208 | transformers | 2023-04-22T09:06:20 | ---
tags:
- LLMs
- MiniGPT-4
---
这是MiniGPT-4的转化权重，利用的教程是[MiniGPT-4/PrepareVicuna.md](https://github.com/Vision-CAIR/MiniGPT-4/blob/main/PrepareVicuna.md) ，使用它，您可以不需要LLAMA-7B和vicuna-7b-delta-v0进行转化。
- [https://github.com/Vision-CAIR/MiniGPT-4](https://github.com/Vision-CAIR/MiniGPT-4) | 286 | [
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akreal/tiny-random-bert | 2021-08-18T14:42:20.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"endpoints_compatible",
"region:us"
] | null | akreal | null | null | akreal/tiny-random-bert | 0 | 5,207 | transformers | 2022-03-02T23:29:05 | This is a copy of: https://huggingface.co/hf-internal-testing/tiny-random-bert
Changes: use old format for `pytorch_model.bin`.
| 129 | [
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microsoft/xclip-base-patch32-16-frames | 2022-09-08T11:05:06.000Z | [
"transformers",
"pytorch",
"xclip",
"feature-extraction",
"vision",
"video-classification",
"en",
"arxiv:2208.02816",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | microsoft | null | null | microsoft/xclip-base-patch32-16-frames | 1 | 5,207 | transformers | 2022-09-07T14:50:31 | ---
language: en
license: mit
tags:
- vision
- video-classification
model-index:
- name: nielsr/xclip-base-patch32-16-frames
results:
- task:
type: video-classification
dataset:
name: Kinetics 400
type: kinetics-400
metrics:
- type: top-1 accuracy
value: 81.1
- type: top-5 ac... | 2,739 | [
[
-0.046234130859375,
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-0.04693603515625,
-0.060546875,
-0.0169982... |
xiaol/RWKV-v4-raven-14B-one-state | 2023-10-05T04:12:00.000Z | [
"transformers",
"pytorch",
"safetensors",
"rwkv",
"dataset:PygmalionAI/PIPPA",
"dataset:Norquinal/claude_multiround_chat_30k",
"dataset:ehartford/dolphin",
"dataset:cais/mmlu",
"dataset:OpenLeecher/Teatime",
"dataset:BAAI/COIG-PC",
"dataset:natural_questions",
"license:apache-2.0",
"endpoint... | null | xiaol | null | null | xiaol/RWKV-v4-raven-14B-one-state | 1 | 5,202 | transformers | 2023-09-27T04:15:33 | ---
license: apache-2.0
datasets:
- PygmalionAI/PIPPA
- Norquinal/claude_multiround_chat_30k
- ehartford/dolphin
- cais/mmlu
- OpenLeecher/Teatime
- BAAI/COIG-PC
- natural_questions
---
# RWKV 14B one state model
finetuend on instruction datasets ,can do Role play, for openllm leaderboard, impoved mmlu training datase... | 1,481 | [
[
-0.0160369873046875,
-0.04339599609375,
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0.0282135009765625,
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0.03448486328125,
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-0.0478515625,
-0.0357666015625,
-0.013... |
M-CLIP/XLM-Roberta-Large-Vit-B-32 | 2022-09-15T10:45:49.000Z | [
"transformers",
"pytorch",
"tf",
"M-CLIP",
"multilingual",
"af",
"sq",
"am",
"ar",
"az",
"bn",
"bs",
"bg",
"ca",
"zh",
"hr",
"cs",
"da",
"nl",
"en",
"et",
"fr",
"de",
"el",
"hi",
"hu",
"is",
"id",
"it",
"ja",
"mk",
"ml",
"mr",
"pl",
"pt",
"ro",
... | null | M-CLIP | null | null | M-CLIP/XLM-Roberta-Large-Vit-B-32 | 6 | 5,192 | transformers | 2022-05-31T09:50:54 | ---
language:
- multilingual
- af
- sq
- am
- ar
- az
- bn
- bs
- bg
- ca
- zh
- hr
- cs
- da
- nl
- en
- et
- fr
- de
- el
- hi
- hu
- is
- id
- it
- ja
- mk
- ml
- mr
- pl
- pt
- ro
- ru
- sr
- sl
- es
- sw
- sv
- tl
- te
- tr
- tk
- uk
- ur
- ug
- uz
- vi
- xh
---
## Multilingual-clip: XLM-Roberta-Large-Vit-B-32
... | 3,780 | [
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0... |
harborwater/open-llama-3b-everything-v2 | 2023-10-12T15:49:59.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:totally-not-an-llm/EverythingLM-data-V2-sharegpt",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | harborwater | null | null | harborwater/open-llama-3b-everything-v2 | 1 | 5,189 | transformers | 2023-10-12T07:31:43 | ---
license: apache-2.0
datasets:
- totally-not-an-llm/EverythingLM-data-V2-sharegpt
language:
- en
library_name: transformers
---
Trained on 3 epochs of the `totally-not-an-llm/EverythingLM-data-V2-sharegpt` dataset.
```
### HUMAN:
{prompt}
### RESPONSE:
<leave a newline for the model to answer>
```
note: Changed... | 654 | [
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0... |
MingZhong/unieval-sum | 2022-10-14T01:06:32.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"arxiv:2210.07197",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | MingZhong | null | null | MingZhong/unieval-sum | 2 | 5,180 | transformers | 2022-10-10T01:04:09 | Pre-trained evaluator in EMNLP 2022 paper
*[Towards a Unified Multi-Dimensional Evaluator for Text Generation](https://arxiv.org/abs/2210.07197)*
## Introduction
**Multi-dimensional evaluation** is the dominant paradigm for human evaluation in Natural Language Generation (NLG), i.e., evaluating the generated text fr... | 1,173 | [
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0.026336669921875... |
google/bigbird-base-trivia-itc | 2021-06-02T14:53:34.000Z | [
"transformers",
"pytorch",
"jax",
"big_bird",
"question-answering",
"en",
"dataset:trivia_qa",
"arxiv:2007.14062",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | google | null | null | google/bigbird-base-trivia-itc | 5 | 5,173 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- trivia_qa
---
# BigBird base trivia-itc
This model is a fine-tune checkpoint of `bigbird-roberta-base`, fine-tuned on `trivia_qa` with `BigBirdForQuestionAnsweringHead` on its top.
Check out [this](https://colab.research.google.com/drive/1DVOm1VHjW0eKCayFq1N2GpY6GR9M4... | 2,016 | [
[
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0.021087646484375,
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0.0174560... |
microsoft/git-base-coco | 2023-02-08T10:48:43.000Z | [
"transformers",
"pytorch",
"git",
"text-generation",
"vision",
"image-captioning",
"image-to-text",
"en",
"arxiv:2205.14100",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | microsoft | null | null | microsoft/git-base-coco | 9 | 5,169 | transformers | 2022-12-06T09:27:24 | ---
language: en
license: mit
tags:
- vision
- image-captioning
model_name: microsoft/git-base-coco
pipeline_tag: image-to-text
---
# GIT (GenerativeImage2Text), base-sized, fine-tuned on COCO
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on COCO. It was introduced in the paper [GIT: A Ge... | 3,195 | [
[
-0.046600341796875,
-0.0552978515625,
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... |
nlpaueb/bert-base-uncased-contracts | 2022-04-28T14:43:56.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"legal",
"fill-mask",
"en",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | nlpaueb | null | null | nlpaueb/bert-base-uncased-contracts | 13 | 5,167 | transformers | 2022-03-02T23:29:05 | ---
language: en
pipeline_tag: fill-mask
license: cc-by-sa-4.0
thumbnail: https://i.ibb.co/p3kQ7Rw/Screenshot-2020-10-06-at-12-16-36-PM.png
tags:
- legal
widget:
- text: "This [MASK] Agreement is between General Motors and John Murray."
---
# LEGAL-BERT: The Muppets straight out of Law School
<img align="left" src="h... | 11,201 | [
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yanekyuk/bert-uncased-keyword-extractor | 2022-06-06T09:27:10.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | yanekyuk | null | null | yanekyuk/bert-uncased-keyword-extractor | 37 | 5,165 | transformers | 2022-06-05T22:37:41 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
- f1
language:
- en
widget:
- text: "Broadcom agreed to acquire cloud computing company VMware in a $61 billion (€57bn) cash-and stock deal, massively diversifying the chipmaker’s business and almost tripling its software-re... | 4,117 | [
[
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... |
digiplay/2K | 2023-11-02T13:51:31.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/2K | 4 | 5,152 | diffusers | 2023-06-24T14:10:11 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
![下载 - 2023-06-25T051311.313.png](https://cdn-... | 811 | [
[
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0.... |
timm/tf_efficientnetv2_l.in21k_ft_in1k | 2023-04-27T22:17:39.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnetv2_l.in21k_ft_in1k | 2 | 5,151 | timm | 2022-12-13T00:16:48 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for tf_efficientnetv2_l.in21k_ft_in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k in Tensorflow by paper authors, ported to PyTo... | 4,191 | [
[
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Helsinki-NLP/opus-mt-en-sk | 2023-08-16T11:31:06.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-en-sk | 0 | 5,150 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-sk
* source languages: en
* target languages: sk
* OPUS readme: [en-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 816 | [
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0.015777... |
arbazk/maestroqa-distilbert-negative-sentiment | 2023-03-27T17:39:15.000Z | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | arbazk | null | null | arbazk/maestroqa-distilbert-negative-sentiment | 2 | 5,139 | transformers | 2023-03-22T21:42:45 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: maestroqa-distilbert-negative-sentiment
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... | 1,672 | [
[
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0.0153045654296875,
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-0.046783447265625,
-0.05560302734375,
-0.01... |
FFusion/400GB-LoraXL | 2023-09-17T06:30:59.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion",
"text-to-image",
"lora",
"loraxl",
"ffai",
"en",
"license:openrail++",
"has_space",
"region:us"
] | text-to-image | FFusion | null | null | FFusion/400GB-LoraXL | 25 | 5,136 | diffusers | 2023-09-07T10:07:02 | ---
license: openrail++
base_model: FFusion/FFXL400
instance_prompt: Morphxl_V10
widget:
- text: >-
cyber bunny solo, looking at viewer, long sleeves, 1girl, holding, animal ears, jewelry, closed mouth, standing, latex jacket, upper body, weapon, female focus, outdoors, open clothes, solo focus, belt, necklace,... | 35,852 | [
[
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-... |
Helsinki-NLP/opus-mt-gmq-en | 2023-08-16T11:38:03.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"da",
"nb",
"sv",
"is",
"nn",
"fo",
"gmq",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-gmq-en | 1 | 5,134 | transformers | 2022-03-02T23:29:04 | ---
language:
- da
- nb
- sv
- is
- nn
- fo
- gmq
- en
tags:
- translation
license: apache-2.0
---
### gmq-eng
* source group: North Germanic languages
* target group: English
* OPUS readme: [gmq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md)
* model: transformer
... | 2,262 | [
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0.0170745849609375,
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-0.06219482421875,
-0.039764404296875,
0.02... |
FriedGil/distillBERT-misinformation-classifier | 2023-09-05T02:25:43.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | FriedGil | null | null | FriedGil/distillBERT-misinformation-classifier | 0 | 5,134 | transformers | 2023-09-05T01:33:54 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distillBERT-misinformation-classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably p... | 1,488 | [
[
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0.01076507568359375,
-0.036376953125,
-0.04510498046875,
-0.0711059570312... |
vasista22/whisper-tamil-small | 2023-04-24T21:03:31.000Z | [
"transformers",
"pytorch",
"jax",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"ta",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | vasista22 | null | null | vasista22/whisper-tamil-small | 0 | 5,133 | transformers | 2023-01-01T06:00:21 | ---
language:
- ta
license: apache-2.0
tags:
- whisper-event
metrics:
- wer
model-index:
- name: Whisper Tamil Small - Vasista Sai Lodagala
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: google/fleurs
type: google/fleurs
config... | 4,523 | [
[
-0.01312255859375,
-0.05108642578125,
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0.036224365234375,
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-0.0061187744140625,
-0.0374755859375,
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0.0175628662109375,
-0.03045654296875,
-0.033905029296875,
-0.043670654296875,
... |
Muennighoff/SGPT-125M-weightedmean-msmarco-specb-bitfit | 2023-03-27T22:19:34.000Z | [
"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-msmarco-specb-bitfit | 2 | 5,131 | 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-msmarco-specb-bitfit
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactual... | 122,066 | [
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hassanblend/hassanblend1.4 | 2023-07-01T22:25:28.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | hassanblend | null | null | hassanblend/hassanblend1.4 | 436 | 5,121 | diffusers | 2022-11-21T12:43:55 | ---
title: Hassanblend1.4
emoji: 📚
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 3.11.0
app_file: app.py
pinned: false
thumbnail: "https://i.imgur.com/PVThZvk.png"
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
inference: true
---
# HassanBlend1.4
I am hassan, I created Hassans... | 2,353 | [
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0.000955581665... |
Helsinki-NLP/opus-mt-nl-fr | 2023-08-16T12:01:44.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"nl",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-nl-fr | 0 | 5,120 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nl-fr
* source languages: nl
* target languages: fr
* OPUS readme: [nl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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Yntec/3DKX | 2023-10-12T06:30:19.000Z | [
"diffusers",
"General",
"3D",
"Cartoon",
"unvailai",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/3DKX | 2 | 5,119 | diffusers | 2023-10-12T04:56:13 | ---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- 3D
- Cartoon
- unvailai
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# 3DKX
Diffusers version of this model for the hosted inference API.
Check the license at the original page: https://hugging... | 634 | [
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rinna/japanese-hubert-base | 2023-05-15T04:39:41.000Z | [
"transformers",
"pytorch",
"safetensors",
"hubert",
"feature-extraction",
"speech",
"ja",
"dataset:reazon-research/reazonspeech",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | rinna | null | null | rinna/japanese-hubert-base | 50 | 5,107 | transformers | 2023-04-28T07:39:44 | ---
language: ja
datasets:
- reazon-research/reazonspeech
tags:
- hubert
- speech
license: apache-2.0
---
# japanese-hubert-base
This is a Japanese HuBERT (Hidden Unit Bidirectional Encoder Representations from Transformers) model trained by [rinna Co., Ltd.](https://rinna.co.jp/)
T... | 2,169 | [
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-0.... |
lgaalves/mistral-7b-platypus1k | 2023-10-11T16:51:05.000Z | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | lgaalves | null | null | lgaalves/mistral-7b-platypus1k | 0 | 5,101 | transformers | 2023-10-10T22:00:12 | ---
license: apache-2.0
datasets:
- garage-bAInd/Open-Platypus
pipeline_tag: text-generation
language:
- en
---
# mistral-7b-v0.1-platypus1k
**mistral-7b-v0.1-platypus1k** is an instruction fine-tuned model based on the Mistral-7B transformer architecture.
### Benchmark Metrics
| Metric | mistral... | 2,777 | [
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nicholasKluge/Aira-2-1B1 | 2023-10-30T12:05:35.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"alignment",
"instruction tuned",
"text generation",
"conversation",
"assistant",
"en",
"dataset:nicholasKluge/instruct-aira-dataset",
"arxiv:1803.05457",
"arxiv:2109.07958",
"arxiv:2203.09509",
"license:apache-2.0",... | text-generation | nicholasKluge | null | null | nicholasKluge/Aira-2-1B1 | 1 | 5,099 | transformers | 2023-10-11T02:36:07 | ---
license: apache-2.0
datasets:
- nicholasKluge/instruct-aira-dataset
language:
- en
metrics:
- accuracy
library_name: transformers
tags:
- alignment
- instruction tuned
- text generation
- conversation
- assistant
pipeline_tag: text-generation
widget:
- text: "<|startofinstruction|>How should I call you?<|endofinstr... | 5,334 | [
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1-800-BAD-CODE/punctuation_fullstop_truecase_english | 2023-03-19T21:35:48.000Z | [
"generic",
"onnx",
"text2text-generation",
"punctuation",
"true-casing",
"sentence-boundary-detection",
"nlp",
"en",
"license:apache-2.0",
"region:us"
] | text2text-generation | 1-800-BAD-CODE | null | null | 1-800-BAD-CODE/punctuation_fullstop_truecase_english | 3 | 5,097 | generic | 2023-03-11T22:21:22 | ---
license: apache-2.0
language:
- en
tags:
- text2text-generation
- punctuation
- true-casing
- sentence-boundary-detection
- nlp
widget:
- text: "hey man how's it going i haven't seen you in a while let's meet at 6 pm for drinks"
- text: "hello user this is an example input this text should be split into several... | 16,830 | [
[
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0.... |
timm/convnext_tiny.fb_in22k_ft_in1k | 2023-03-31T22:38:08.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2201.03545",
"license:apache-2.0",
"has_space",
"region:us"
] | image-classification | timm | null | null | timm/convnext_tiny.fb_in22k_ft_in1k | 0 | 5,095 | timm | 2022-12-13T07:15:09 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_tiny.fb_in22k_ft_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model Type:**... | 15,734 | [
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microsoft/git-large-coco | 2023-06-26T19:50:47.000Z | [
"transformers",
"pytorch",
"safetensors",
"git",
"text-generation",
"vision",
"image-captioning",
"image-to-text",
"en",
"arxiv:2205.14100",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | microsoft | null | null | microsoft/git-large-coco | 74 | 5,095 | transformers | 2023-01-02T10:44:21 | ---
language: en
license: mit
tags:
- vision
- image-captioning
model_name: microsoft/git-large-coco
pipeline_tag: image-to-text
---
# GIT (GenerativeImage2Text), large-sized, fine-tuned on COCO
GIT (short for GenerativeImage2Text) model, large-sized version, fine-tuned on COCO. It was introduced in the paper [GIT: A... | 3,199 | [
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... |
lllyasviel/control_v11p_sd15_scribble | 2023-05-04T18:50:48.000Z | [
"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_sd15_scribble | 15 | 5,085 | diffusers | 2023-04-14T19:26:12 | ---
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_sd15_scribble
---
# Controlnet - v1.1 - *Scribble Version*
**Controlnet v1.1** is the successor model of [Controlnet v1.0... | 16,505 | [
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-0.0142288... |
crumb/gpt2023 | 2023-05-01T21:53:44.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"causal-lm",
"en",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | crumb | null | null | crumb/gpt2023 | 12 | 5,078 | transformers | 2023-04-30T02:23:04 | ---
license: mit
language:
- en
tags:
- causal-lm
---
# GPT2(023) Model Card
This is the smallest GPT-2 model (124m) from OpenAi finetuned on approximately 2.23B tokens (almost the 2.48B needed to 'chinchilla-optimally' pretrain it! It's also more tokens than Cerebras-GPT-111M was trained on in total) consisting of 1... | 6,572 | [
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-0.0513916015625,
... |
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