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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
google/canine-s | 2022-08-08T16:22:47.000Z | [
"transformers",
"pytorch",
"canine",
"feature-extraction",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
"fi... | feature-extraction | google | null | null | google/canine-s | 13 | 10,141 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- af
- sq
- ar
- an
- hy
- ast
- az
- ba
- eu
- bar
- be
- bn
- inc
- bs
- br
- bg
- my
- ca
- ceb
- ce
- zh
- cv
- hr
- cs
- da
- nl
- en
- et
- fi
- fr
- gl
- ka
- de
- el
- gu
- ht
- he
- hi
- hu
- is
- io
- id
- ga
- it
- ja
- jv
- kn
- kk
- ky
- ko
- la
- lv
- lt
- roa
- nds
- lm
- mk... | 5,319 | [
[
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0.015350341796875,
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-0.033355712890625,
-0.031280517578125,
0.011512... |
togethercomputer/LLaMA-2-7B-32K | 2023-10-03T17:39:07.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"en",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:togethercomputer/RedPajama-Data-Instruct",
"dataset:EleutherAI/pile",
"dataset:togethercomputer/Long-Data-Collections",
"license:llama2",
"endpoints_compatible",
... | text-generation | togethercomputer | null | null | togethercomputer/LLaMA-2-7B-32K | 482 | 10,130 | transformers | 2023-07-26T02:19:41 | ---
license: llama2
datasets:
- togethercomputer/RedPajama-Data-1T
- togethercomputer/RedPajama-Data-Instruct
- EleutherAI/pile
- togethercomputer/Long-Data-Collections
language:
- en
library_name: transformers
---
# LLaMA-2-7B-32K
## Model Description
LLaMA-2-7B-32K is an open-source, long context language model de... | 6,141 | [
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-0.0419921875,
-0.047454833984375,
0.007621765... |
PY007/TinyLlama-1.1B-step-50K-105b | 2023-09-16T03:06:11.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | PY007 | null | null | PY007/TinyLlama-1.1B-step-50K-105b | 103 | 10,099 | transformers | 2023-09-01T08:59:02 | ---
license: apache-2.0
datasets:
- cerebras/SlimPajama-627B
- bigcode/starcoderdata
language:
- en
---
<div align="center">
# TinyLlama-1.1B
</div>
https://github.com/jzhang38/TinyLlama
The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achi... | 3,411 | [
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sanali209/nsfwfilter | 2023-08-29T01:19:05.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | sanali209 | null | null | sanali209/nsfwfilter | 3 | 10,098 | transformers | 2023-08-21T13:44:01 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: sanali209/nsfwfilter
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9273858666419983
---
# sanali209/nsf... | 656 | [
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-0.046875,
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... |
facebook/xglm-564M | 2023-01-24T16:35:45.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"xglm",
"text-generation",
"multilingual",
"en",
"ru",
"zh",
"de",
"es",
"fr",
"ja",
"it",
"pt",
"el",
"ko",
"fi",
"id",
"tr",
"ar",
"vi",
"th",
"bg",
"ca",
"hi",
"et",
"bn",
"ta",
"ur",
"sw",
"te",
"eu",
"my... | text-generation | facebook | null | null | facebook/xglm-564M | 29 | 10,097 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- en
- ru
- zh
- de
- es
- fr
- ja
- it
- pt
- el
- ko
- fi
- id
- tr
- ar
- vi
- th
- bg
- ca
- hi
- et
- bn
- ta
- ur
- sw
- te
- eu
- my
- ht
- qu
license: mit
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
inference: false
---
# XGLM-564M
XGLM-564M is a multilingual a... | 7,588 | [
[
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0.01224517822265625,
-0.03997802734375,
-0.058624267578125,
-0.03662109375,
... |
FlagAlpha/Llama2-Chinese-7b-Chat | 2023-07-23T10:56:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"question-answering",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | question-answering | FlagAlpha | null | null | FlagAlpha/Llama2-Chinese-7b-Chat | 117 | 10,088 | transformers | 2023-07-23T10:12:21 | ---
developers: [https://huggingface.co/FlagAlphaAI]
license: apache-2.0
language:
- zh
- en
pipeline_tag: question-answering
library_name: transformers
---
# Llama2中文社区
---
## Llama2中文微调参数
由于Llama2本身的中文对齐较弱，我们采用中文指令集，对meta-llama/Llama-2-7b-chat-hf进行LoRA微调，使其具备较强的中文对话能力。
🎯 **该版本为LoRA中文微调参数FlagAlpha/Llama2-Chinese-7b... | 997 | [
[
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-0.036773681640625,
0.0047569... |
distil-whisper/distil-large-v2 | 2023-11-06T16:37:42.000Z | [
"transformers",
"pytorch",
"jax",
"tensorboard",
"onnx",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"transformers.js",
"en",
"arxiv:2311.00430",
"arxiv:2210.13352",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | distil-whisper | null | null | distil-whisper/distil-large-v2 | 170 | 10,078 | transformers | 2023-10-24T15:48:32 | ---
language:
- en
tags:
- audio
- automatic-speech-recognition
- transformers.js
widget:
- example_title: LibriSpeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: LibriSpeech sample 2
src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
pipeline_tag: auto... | 20,465 | [
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0.0014104843139648438,
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-0.039703369140625,
-0.032684326171875,
-0.06494140625,
... |
alibaba-damo/mgp-str-base | 2023-03-17T07:10:02.000Z | [
"transformers",
"pytorch",
"mgp-str",
"image-to-text",
"arxiv:2209.03592",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | alibaba-damo | null | null | alibaba-damo/mgp-str-base | 1 | 10,075 | transformers | 2022-11-23T13:38:30 | ---
tags:
- mgp-str
- image-to-text
widget:
- src: https://github.com/AlibabaResearch/AdvancedLiterateMachinery/blob/main/OCR/MGP-STR/demo_imgs/IIIT5k_HOUSE.png
example_title: Example 1
- src: https://github.com/AlibabaResearch/AdvancedLiterateMachinery/blob/main/OCR/MGP-STR/demo_imgs/IIT5k_EVERYONE.png
example_tit... | 2,949 | [
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-0.0021800994873046875,
0.027587890625,
-0.022186279296875,
-0.026275634765625,
-0.05377197265625,
... |
Lykon/dreamshaper-8 | 2023-08-26T16:49:07.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"anime",
"dreamshaper",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Lykon | null | null | Lykon/dreamshaper-8 | 13 | 10,059 | diffusers | 2023-08-26T16:49:06 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
- anime
- dreamshaper
duplicated_from: lykon-models/dreamshaper-8
---
# Dreamshaper 8
`lykon-models/dreamshaper-8` is a Stable Diffusion model that has been fine-tuned o... | 2,412 | [
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-0.051239013671875,
0.00579... |
Salesforce/instructblip-flan-t5-xl | 2023-06-18T09:19:04.000Z | [
"transformers",
"pytorch",
"instructblip",
"text2text-generation",
"vision",
"image-captioning",
"image-to-text",
"en",
"arxiv:2305.06500",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | Salesforce | null | null | Salesforce/instructblip-flan-t5-xl | 20 | 10,058 | transformers | 2023-05-28T13:29:18 | ---
language: en
license: mit
tags:
- vision
- image-captioning
pipeline_tag: image-to-text
---
# InstructBLIP model
InstructBLIP model using [Flan-T5-xl](https://huggingface.co/google/flan-t5-xl) as language model. InstructBLIP was introduced in the paper [InstructBLIP: Towards General-purpose Vision-Language Models... | 2,133 | [
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... |
cyberagent/open-calm-7b | 2023-05-18T01:12:08.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"japanese",
"causal-lm",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:mc4",
"license:cc-by-sa-4.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | cyberagent | null | null | cyberagent/open-calm-7b | 191 | 10,053 | transformers | 2023-05-15T07:53:34 | ---
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
- mc4
language:
- ja
tags:
- japanese
- causal-lm
inference: false
---
# OpenCALM-7B
## Model Description
OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by CyberAgent, Inc.
## Usage
```python
import torch
from t... | 3,366 | [
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0.00462... |
THUDM/visualglm-6b | 2023-05-22T13:29:07.000Z | [
"transformers",
"pytorch",
"chatglm",
"glm",
"visualglm",
"thudm",
"custom_code",
"zh",
"en",
"arxiv:2103.10360",
"arxiv:2210.02414",
"arxiv:2301.12597",
"arxiv:2105.13290",
"endpoints_compatible",
"has_space",
"region:us"
] | null | THUDM | null | null | THUDM/visualglm-6b | 186 | 10,051 | transformers | 2023-05-17T08:34:19 | ---
language:
- zh
- en
tags:
- glm
- visualglm
- chatglm
- thudm
---
# VisualGLM-6B
<p align="center">
💻 <a href="https://github.com/THUDM/VisualGLM-6B" target="_blank">Github Repo</a> • 🐦 <a href="https://twitter.com/thukeg" target="_blank">Twitter</a> • 📃 <a href="https://arxiv.org/abs/2103.10360" target="_bla... | 3,106 | [
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-... |
johnslegers/epic-diffusion | 2023-01-21T06:04:43.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | johnslegers | null | null | johnslegers/epic-diffusion | 128 | 10,040 | diffusers | 2023-01-03T09:54:56 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
extra_gated_prompt: |-
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. ... | 33,582 | [
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0.010726928710... |
google/deplot | 2023-09-06T19:53:17.000Z | [
"transformers",
"pytorch",
"safetensors",
"pix2struct",
"text2text-generation",
"visual-question-answering",
"en",
"fr",
"ro",
"de",
"multilingual",
"arxiv:2212.10505",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"region:us"
] | visual-question-answering | google | null | null | google/deplot | 115 | 10,022 | transformers | 2023-04-03T11:05:38 | ---
language:
- en
- fr
- ro
- de
- multilingual
inference: false
pipeline_tag: visual-question-answering
license: apache-2.0
---
# Model card for DePlot
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/deplot_architecture.png"
alt="drawing" width... | 4,317 | [
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Deci/DeciCoder-1b | 2023-10-02T08:28:44.000Z | [
"transformers",
"safetensors",
"text-generation",
"text generation",
"Deci AI",
"DeciCoder",
"custom_code",
"dataset:bigcode/starcoderdata",
"arxiv:2305.13245",
"arxiv:2104.09864",
"license:apache-2.0",
"model-index",
"has_space",
"region:us"
] | text-generation | Deci | null | null | Deci/DeciCoder-1b | 223 | 10,008 | transformers | 2023-08-16T14:52:10 | ---
pipeline_tag: text-generation
license: apache-2.0
tags:
- text generation
- Deci AI
- DeciCoder
programming_language:
- Java
- JavaScript
- Python
metrics:
- code_eval
inference: true
widget:
- text: 'def print_hello_world():'
example_title: Hello world
group: Python
model-index:
- name: DeciCoder-1b
re... | 5,704 | [
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0.02447... |
WizardLM/WizardCoder-Python-7B-V1.0 | 2023-09-09T06:44:39.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"arxiv:2303.08774",
"license:llama2",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | WizardLM | null | null | WizardLM/WizardCoder-Python-7B-V1.0 | 52 | 9,994 | transformers | 2023-08-29T10:08:55 | ---
license: llama2
metrics:
- code_eval
library_name: transformers
tags:
- code
model-index:
- name: WizardCoder-Python-34B-V1.0
results:
- task:
type: text-generation
dataset:
type: openai_humaneval
name: HumanEval
metrics:
- name: pass@1
type: pass@1
value: 0.555
v... | 9,128 | [
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0.003368377685546875,
-0.01239776611328125,
0.002590179443359375,
-0.036102294921875,
0.015869140625,
0.0212554931640625,
-0.048828125,
-0.046966552734375,
-0.038665771484375,
0.0... |
digiplay/perfectlevel10 | 2023-08-01T18:49:48.000Z | [
"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/perfectlevel10 | 4 | 9,979 | diffusers | 2023-08-01T18:10:46 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
https://civitai.com/models/117591/perfectlevel10
Sample image :
| 312 | [
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liam168/trans-opus-mt-zh-en | 2021-07-16T03:34:38.000Z | [
"transformers",
"pytorch",
"marian",
"text2text-generation",
"translation",
"en",
"zh",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | liam168 | null | null | liam168/trans-opus-mt-zh-en | 15 | 9,938 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
- zh
tags:
- translation
widget:
- text: "我喜欢学习数据科学和机器学习。"
---
# liam168/trans-opus-mt-zh-en
## Model description
* source group: English
* target group: Chinese
* model: transformer
* source language(s): eng
## How to use
```python
>>> from transformers import AutoModelWithLMHead,AutoToke... | 752 | [
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0.0289459228515625,
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-0.03076171875,
-0.06045532226... |
mosaicml/mpt-7b-8k | 2023-10-30T21:53:51.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"Composer",
"MosaicML",
"llm-foundry",
"StreamingDatasets",
"custom_code",
"dataset:mc4",
"dataset:c4",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:bigcode/the-stack",
"dataset:allenai/s2orc",
"arxiv:2108.12409",
"arxiv:23... | text-generation | mosaicml | null | null | mosaicml/mpt-7b-8k | 20 | 9,936 | transformers | 2023-06-30T19:56:15 | ---
license: apache-2.0
tags:
- Composer
- MosaicML
- llm-foundry
- StreamingDatasets
datasets:
- mc4
- c4
- togethercomputer/RedPajama-Data-1T
- bigcode/the-stack
- allenai/s2orc
inference: false
---
# MPT-7B-8k
MPT-7B-8k is a decoder-style transformer pretrained starting from MPT-7B, but updating the sequence lengt... | 13,686 | [
[
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-0.037139892578125,
-0.054290771484375,
0.0... |
RWKV/rwkv-4-430m-pile | 2023-05-15T10:00:20.000Z | [
"transformers",
"pytorch",
"rwkv",
"text-generation",
"dataset:EleutherAI/pile",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | RWKV | null | null | RWKV/rwkv-4-430m-pile | 3 | 9,930 | transformers | 2023-05-04T13:38:41 | ---
datasets:
- EleutherAI/pile
---
# Model card for RWKV-4 | 430M parameters trained on Pile dataset
RWKV is a project led by [Bo Peng](https://github.com/BlinkDL). Learn more about the model archit... | 5,303 | [
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0.0188140869140625,
-0.040191650390625,
-0.02581787109375,
-0.03692626953125... |
shahrukhx01/bert-mini-finetune-question-detection | 2023-03-29T22:00:48.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"neural-search-query-classification",
"neural-search",
"en",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | shahrukhx01 | null | null | shahrukhx01/bert-mini-finetune-question-detection | 8 | 9,929 | transformers | 2022-03-02T23:29:05 |
---
language: "en"
tags:
- neural-search-query-classification
- neural-search
widget:
- text: "keyword query."
---
# KEYWORD QUERY VS STATEMENT/QUESTION CLASSIFIER FOR NEURAL SEARCH
| Train Loss | Validation Acc.| Test Acc.|
| ------------- |:-------------: | -----: |
| 0.000806 | 0.99 | 0.997 |
```pyth... | 1,349 | [
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-0.01490020751953125,
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-0.002201080322265625,
0.03179931640625,
-0.04443359375,
-0.02716064453125,
-0.021224975585937... |
KB/bert-base-swedish-cased | 2022-06-07T16:31:14.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"sv",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | KB | null | null | KB/bert-base-swedish-cased | 8 | 9,880 | transformers | 2022-06-07T16:28:03 | ---
language: sv
---
# Swedish BERT Models
The National Library of Sweden / KBLab releases three pretrained language models based on BERT and ALBERT. The models are trained on aproximately 15-20GB of text (200M sentences, 3000M tokens) from various sources (books, news, government publications, swedish wikipedia and ... | 6,165 | [
[
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0.0287322998046875,
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-0.0458984375,
0.0... |
facebook/metaclip-h14-fullcc2.5b | 2023-10-14T09:01:40.000Z | [
"transformers",
"pytorch",
"clip",
"zero-shot-image-classification",
"vision",
"metaclip",
"arxiv:2309.16671",
"arxiv:2103.00020",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"has_space"
] | zero-shot-image-classification | facebook | null | null | facebook/metaclip-h14-fullcc2.5b | 14 | 9,869 | transformers | 2023-10-09T20:33:38 | ---
license: cc-by-nc-4.0
tags:
- vision
- metaclip
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: playing music, playing sports
example_title: Cat & Dog
---
# MetaCLIP model, huge-sized version, patch resolution 14
MetaCLIP model applied to 2... | 2,012 | [
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0.035430908203125,
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... |
klue/roberta-large | 2023-06-12T12:29:57.000Z | [
"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-large | 28 | 9,861 | transformers | 2022-03-02T23:29:05 | ---
language: ko
tags:
- korean
- klue
mask_token: "[MASK]"
widget:
- text: 대한민국의 수도는 [MASK] 입니다.
---
# KLUE RoBERTa large
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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-0.0525512695312... |
PygmalionAI/pygmalion-2.7b | 2023-01-12T19:20:02.000Z | [
"transformers",
"pytorch",
"tensorboard",
"gpt_neo",
"text-generation",
"text generation",
"conversational",
"en",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | conversational | PygmalionAI | null | null | PygmalionAI/pygmalion-2.7b | 48 | 9,845 | transformers | 2023-01-05T14:57:04 | ---
license: creativeml-openrail-m
language:
- en
thumbnail:
tags:
- text generation
- conversational
inference: false
---
# Pygmalion 2.7B
## Model description
Pymalion 2.7B is a proof-of-concept dialogue model based on EleutherAI's [gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B).
**Warning:** This ... | 2,347 | [
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ckpt/ModelScope | 2023-04-05T23:36:43.000Z | [
"open_clip",
"license:cc-by-nc-4.0",
"region:us"
] | null | ckpt | null | null | ckpt/ModelScope | 3 | 9,822 | open_clip | 2023-04-05T23:27:22 | ---
license: cc-by-nc-4.0
---
https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis, but with fp16 (half precision) weights
Read all the info here https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis/blob/main/README.md
| 263 | [
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lllyasviel/sd-controlnet-depth | 2023-04-24T22:30:25.000Z | [
"diffusers",
"art",
"controlnet",
"stable-diffusion",
"image-to-image",
"arxiv:2302.05543",
"license:openrail",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | image-to-image | lllyasviel | null | null | lllyasviel/sd-controlnet-depth | 28 | 9,788 | diffusers | 2023-02-24T06:59:59 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
- image-to-image
---
# Controlnet - *Depth Version*
ControlNet is a neural network structure to control diffusion models by adding extra conditions.
This checkpoint corresponds to the ControlNet conditioned o... | 11,472 | [
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-0... |
EleutherAI/pythia-6.9b-deduped | 2023-06-08T13:05:19.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"en",
"dataset:EleutherAI/the_pile_deduplicated",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region... | text-generation | EleutherAI | null | null | EleutherAI/pythia-6.9b-deduped | 6 | 9,778 | transformers | 2023-02-25T17:56:57 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
license: apache-2.0
datasets:
- EleutherAI/the_pile_deduplicated
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
It contains two sets of eight models... | 13,663 | [
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0.012847900390625,
-0.027191162109375,
-0.0218505859375,
-0.03240966796875,
-0.003... |
KoboldAI/LLAMA2-13B-Holodeck-1 | 2023-07-28T21:08:16.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"en",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/LLAMA2-13B-Holodeck-1 | 17 | 9,763 | transformers | 2023-07-28T09:33:08 | ---
license: other
language: en
commercial: no
inference: true
---
# LLAMA2 13B - Holodeck
## Model Description
LLAMA2 13B-Holodeck is a finetune created using Meta's llama 2 model.
## Training data
The training data contains around 3000 ebooks in various genres.
Most parts of the dataset have been prepended using the ... | 1,576 | [
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-... |
adasnew/t5-small-xsum | 2022-04-11T22:35:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:xsum",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | adasnew | null | null | adasnew/t5-small-xsum | 0 | 9,759 | transformers | 2022-04-11T18:45:17 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
model-index:
- name: t5-small-xsum
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 remove this comment. -->
# t5-s... | 2,590 | [
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0.0249481201171875,
-0.05694580078125,
-0.04827880859375,
-0.048858642578... |
yuvalkirstain/peft-100k_t5_xl_task_pred_1024steps_color_best | 2023-11-01T07:35:10.000Z | [
"peft",
"region:us"
] | null | yuvalkirstain | null | null | yuvalkirstain/peft-100k_t5_xl_task_pred_1024steps_color_best | 0 | 9,757 | peft | 2023-11-01T07:35:05 | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.5.0
- PEFT 0.5.0
| 101 | [
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42MARU/GenAI-llama-2-13b | 2023-10-04T04:35:56.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"instruct",
"instruction",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 42MARU | null | null | 42MARU/GenAI-llama-2-13b | 3 | 9,702 | transformers | 2023-09-24T14:28:22 | ---
language:
- en
tags:
- llama-2
- instruct
- instruction
pipeline_tag: text-generation
---
# GenAI-llama-2-13b
### Model Details
- Developed by: [42MARU](https://www.42maru.ai/en/)
- Backbone Model: [LLaMA-2](https://github.com/facebookresearch/llama/tree/main)
- Library: [transformers](https://github.com/huggingf... | 1,060 | [
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0.01378... |
ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli | 2021-05-20T23:17:23.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"dataset:snli",
"dataset:anli",
"dataset:multi_nli",
"dataset:multi_nli_mismatch",
"dataset:fever",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | ynie | null | null | ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli | 9 | 9,690 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- snli
- anli
- multi_nli
- multi_nli_mismatch
- fever
license: mit
---
This is a strong pre-trained RoBERTa-Large NLI model.
The training data is a combination of well-known NLI datasets: [`SNLI`](https://nlp.stanford.edu/projects/snli/), [`MNLI`](https://cims.nyu.edu/~sbowman/multinli/), [`FEVER-NLI`... | 3,406 | [
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0.03094482421875,
0.0194091796875,
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... |
sail-rvc/EricCartman | 2023-07-14T07:22:16.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/EricCartman | 0 | 9,687 | transformers | 2023-07-14T07:21:57 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# EricCartman
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:22:16
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting into l... | 379 | [
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togethercomputer/RedPajama-INCITE-Chat-3B-v1 | 2023-05-09T14:59:47.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:OpenAssistant/oasst1",
"dataset:databricks/databricks-dolly-15k",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | togethercomputer | null | null | togethercomputer/RedPajama-INCITE-Chat-3B-v1 | 116 | 9,681 | transformers | 2023-05-05T05:06:37 | ---
license: apache-2.0
language:
- en
datasets:
- togethercomputer/RedPajama-Data-1T
- OpenAssistant/oasst1
- databricks/databricks-dolly-15k
widget:
- text: "<human>: Write an email to my friends inviting them to come to my home on Friday for a dinner party, bring their own food to share.\n<bot>:"
example_title: "E... | 8,215 | [
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nvidia/segformer-b2-finetuned-ade-512-512 | 2022-08-06T10:07:54.000Z | [
"transformers",
"pytorch",
"tf",
"segformer",
"vision",
"image-segmentation",
"dataset:scene_parse_150",
"arxiv:2105.15203",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | nvidia | null | null | nvidia/segformer-b2-finetuned-ade-512-512 | 1 | 9,667 | 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 | [
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Wellcome/WellcomeBertMesh | 2023-04-26T09:53:48.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"text-classification",
"custom_code",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | Wellcome | null | null | Wellcome/WellcomeBertMesh | 4 | 9,661 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
pipeline_tag: text-classification
---
# WellcomeBertMesh
WellcomeBertMesh is build from the data science team at the WellcomeTrust to tag biomedical grants with Medical Subject Headings ([Mesh](https://www.nlm.nih.gov/mesh/meshhome.html)). Even though developed with the intention to be used to... | 2,449 | [
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Qwen/Qwen-7B-Chat-Int4 | 2023-11-05T03:27:30.000Z | [
"transformers",
"safetensors",
"qwen",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2309.16609",
"arxiv:2305.08322",
"arxiv:2009.03300",
"arxiv:2305.05280",
"arxiv:2210.03629",
"has_space",
"region:us"
] | text-generation | Qwen | null | null | Qwen/Qwen-7B-Chat-Int4 | 57 | 9,651 | transformers | 2023-08-20T14:57:46 | ---
language:
- zh
- en
tags:
- qwen
pipeline_tag: text-generation
inference: false
---
# Qwen-7B-Chat-Int4
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_qwen.jpg" width="400"/>
<p>
<br>
<p align="center">
🤗 <a href="https://huggingface.co/Qwen">Hugging Face</a> &... | 26,828 | [
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timm/vit_tiny_patch16_224.augreg_in21k | 2023-05-06T00:29:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_tiny_patch16_224.augreg_in21k | 1 | 9,650 | timm | 2022-12-22T07:55:55 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for vit_tiny_patch16_224.augreg_in21k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k (with additional augmentation and regularization) in JAX by paper authors, ported... | 3,799 | [
[
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0... |
superb/hubert-base-superb-ks | 2021-11-04T16:03:26.000Z | [
"transformers",
"pytorch",
"hubert",
"audio-classification",
"speech",
"audio",
"en",
"dataset:superb",
"arxiv:2105.01051",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-classification | superb | null | null | superb/hubert-base-superb-ks | 3 | 9,645 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- superb
tags:
- speech
- audio
- hubert
- audio-classification
license: apache-2.0
widget:
- example_title: Speech Commands "down"
src: https://cdn-media.huggingface.co/speech_samples/keyword_spotting_down.wav
- example_title: Speech Commands "go"
src: https://cdn-media.huggingface.co/sp... | 3,709 | [
[
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0.0321044921875,
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-0.05145263671875,
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... |
PygmalionAI/mythalion-13b | 2023-09-15T20:30:08.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"text generation",
"instruct",
"en",
"dataset:PygmalionAI/PIPPA",
"dataset:Open-Orca/OpenOrca",
"dataset:Norquinal/claude_multiround_chat_30k",
"dataset:jondurbin/airoboros-gpt4-1.4.1",
"dataset:databricks/databricks-dolly... | text-generation | PygmalionAI | null | null | PygmalionAI/mythalion-13b | 73 | 9,641 | transformers | 2023-09-05T12:45:18 | ---
language:
- en
thumbnail: null
tags:
- text generation
- instruct
pipeline_tag: text-generation
inference: false
license: llama2
datasets:
- PygmalionAI/PIPPA
- Open-Orca/OpenOrca
- Norquinal/claude_multiround_chat_30k
- jondurbin/airoboros-gpt4-1.4.1
- databricks/databricks-dolly-15k
---
<h1 style="text-align: cen... | 3,275 | [
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0.009... |
dandelin/vilt-b32-mlm | 2022-07-06T12:18:37.000Z | [
"transformers",
"pytorch",
"vilt",
"fill-mask",
"arxiv:2102.03334",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | dandelin | null | null | dandelin/vilt-b32-mlm | 6 | 9,631 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
# Vision-and-Language Transformer (ViLT), pre-trained only
Vision-and-Language Transformer (ViLT) model pre-trained on GCC+SBU+COCO+VG (200k steps). It was introduced in the paper [ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision](https://arxiv.org/abs/2102.0... | 2,850 | [
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TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GPTQ | 2023-09-27T12:44:27.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GPTQ | 75 | 9,618 | transformers | 2023-06-01T09:48:20 | ---
license: other
model_name: WizardLM Uncensored SuperCOT Storytelling 30B
base_model: Monero/WizardLM-Uncensored-SuperCOT-StoryTelling-30b
inference: false
model_creator: YellowRoseCx
model_type: llama
prompt_template: 'You are a helpful AI assistant.
USER: {prompt}
ASSISTANT:
'
quantized_by: TheBloke
---
... | 17,161 | [
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alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech | 2023-11-06T20:35:21.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"dataset:librispeech_asr",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | alefiury | null | null | alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech | 3 | 9,610 | transformers | 2023-04-24T02:39:47 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: weights
results: []
datasets:
- librispeech_asr
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this c... | 6,675 | [
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timm/convnext_base.fb_in22k_ft_in1k_384 | 2023-03-31T22:04:16.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_base.fb_in22k_ft_in1k_384 | 0 | 9,590 | timm | 2022-12-13T07:07:47 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_base.fb_in22k_ft_in1k_384
A ConvNeXt image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model Typ... | 15,732 | [
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microsoft/wavlm-base-plus-sv | 2022-03-25T10:39:41.000Z | [
"transformers",
"pytorch",
"wavlm",
"audio-xvector",
"speech",
"en",
"arxiv:1912.07875",
"arxiv:2106.06909",
"arxiv:2101.00390",
"arxiv:2110.13900",
"endpoints_compatible",
"has_space",
"region:us"
] | null | microsoft | null | null | microsoft/wavlm-base-plus-sv | 14 | 9,585 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- speech
---
# WavLM-Base-Plus for Speaker Verification
[Microsoft's WavLM](https://github.com/microsoft/unilm/tree/master/wavlm)
The model was pretrained on 16kHz sampled speech audio with utterance and speaker contrastive loss. When using the model, make sure that your speech input is also... | 4,052 | [
[
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0.03033447265625,
-0.051544189453125,
-0.0447998046875,
-0.031646728515625,
... |
deepset/electra-base-squad2 | 2023-09-27T12:04:02.000Z | [
"transformers",
"pytorch",
"safetensors",
"electra",
"question-answering",
"en",
"dataset:squad_v2",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | deepset | null | null | deepset/electra-base-squad2 | 15 | 9,569 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: cc-by-4.0
datasets:
- squad_v2
model-index:
- name: deepset/electra-base-squad2
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_v2
type: squad_v2
config: squad_v2
split: validation
metrics:
- type: exac... | 7,180 | [
[
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gogamza/kobart-summarization | 2023-06-12T23:54:06.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"ko",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | gogamza | null | null | gogamza/kobart-summarization | 5 | 9,568 | transformers | 2022-03-02T23:29:05 | ---
language: ko
tags:
- bart
license: mit
---
# Korean News Summarization Model
## Demo
https://huggingface.co/spaces/gogamza/kobart-summarization
## How to use
```python
import torch
from transformers import PreTrainedTokenizerFast
from transformers import BartForConditionalGeneration
tokenizer = PreTrainedToke... | 1,026 | [
[
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-0.045074462890625,
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... |
sentence-transformers/stsb-xlm-r-multilingual | 2022-06-15T21:42:42.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/stsb-xlm-r-multilingual | 18 | 9,567 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/stsb-xlm-r-multilingual
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dens... | 3,699 | [
[
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0.033599853515625,
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Yntec/LAMEanime | 2023-10-29T18:24:58.000Z | [
"diffusers",
"Anime",
"Chibi",
"General",
"Adorable",
"Lasorco",
"realisticElves",
"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/LAMEanime | 2 | 9,548 | diffusers | 2023-10-02T16:02:15 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Chibi
- General
- Adorable
- Lasorco
- realisticElves
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# LAMEanime
A mix of lamettaRemix and animeSEXTILLION to bri... | 1,837 | [
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LeoLM/leo-hessianai-7b | 2023-09-11T00:10:47.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"en",
"de",
"dataset:oscar-corpus/OSCAR-2301",
"dataset:wikipedia",
"dataset:bjoernp/tagesschau-2018-2023",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | LeoLM | null | null | LeoLM/leo-hessianai-7b | 29 | 9,537 | transformers | 2023-08-22T20:19:12 | ---
datasets:
- oscar-corpus/OSCAR-2301
- wikipedia
- bjoernp/tagesschau-2018-2023
language:
- en
- de
library_name: transformers
pipeline_tag: text-generation
---
# LAION LeoLM: **L**inguistically **E**nhanced **O**pen **L**anguage **M**odel
Meet LeoLM, the first open and commercially available German Foundation Langu... | 2,586 | [
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stabilityai/StableBeluga2 | 2023-09-18T15:55:32.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:conceptofmind/cot_submix_original",
"dataset:conceptofmind/flan2021_submix_original",
"dataset:conceptofmind/t0_submix_original",
"dataset:conceptofmind/niv2_submix_original",
"arxiv:2307.09288",
"arxiv:2306.02707",
"endpoin... | text-generation | stabilityai | null | null | stabilityai/StableBeluga2 | 838 | 9,524 | transformers | 2023-07-20T15:09:28 | ---
datasets:
- conceptofmind/cot_submix_original
- conceptofmind/flan2021_submix_original
- conceptofmind/t0_submix_original
- conceptofmind/niv2_submix_original
language:
- en
pipeline_tag: text-generation
---
# Stable Beluga 2
Use [Stable Chat (Research Preview)](https://chat.stability.ai/chat) to test Stability AI... | 5,873 | [
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facebook/deit-small-distilled-patch16-224 | 2022-07-13T11:41:21.000Z | [
"transformers",
"pytorch",
"tf",
"deit",
"image-classification",
"vision",
"dataset:imagenet",
"arxiv:2012.12877",
"arxiv:2006.03677",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | facebook | null | null | facebook/deit-small-distilled-patch16-224 | 3 | 9,504 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
---
# Distilled Data-efficient Image Transformer (small-sized model)
Distilled data-efficient Image Transformer (DeiT) model pre-trained and fine-tuned on ImageNet-1k (1 million images, 1,000 classes) at resolution 224x224. It was firs... | 6,806 | [
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Helsinki-NLP/opus-mt-et-en | 2023-08-16T11:33:57.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"et",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-et-en | 1 | 9,491 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-et-en
* source languages: et
* target languages: en
* OPUS readme: [et-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 907 | [
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0.030426025390625,
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-0.041229248046875,
-0.04586791992187... |
invisiblecat/Uber_Realistic_Porn_Merge_V1.3_inpainting | 2023-08-18T07:00:32.000Z | [
"diffusers",
"not-for-all-audiences",
"inpainting",
"en",
"license:creativeml-openrail-m",
"has_space",
"diffusers:StableDiffusionInpaintPipeline",
"region:us"
] | null | invisiblecat | null | null | invisiblecat/Uber_Realistic_Porn_Merge_V1.3_inpainting | 0 | 9,485 | diffusers | 2023-08-11T16:36:09 | ---
license: creativeml-openrail-m
language:
- en
tags:
- diffusers
- not-for-all-audiences
- inpainting
library_name: diffusers
---
<div style='background: #f044442e; color: #f04444; border: solid 1px #f04444; border-radius: 0.5pc; margin-top: 1.5em; margin-bottom: 1.5em; padding:1em;'>
<b>WARNING:</b> Potential for N... | 741 | [
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laion/CLIP-convnext_large_d.laion2B-s26B-b102K-augreg | 2023-04-18T19:33:42.000Z | [
"open_clip",
"tensorboard",
"clip",
"zero-shot-image-classification",
"arxiv:2201.03545",
"arxiv:2210.08402",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-convnext_large_d.laion2B-s26B-b102K-augreg | 4 | 9,483 | open_clip | 2023-01-29T22:40:05 | ---
license: mit
library_name: open_clip
pipeline_tag: zero-shot-image-classification
tags:
- clip
---
# Model Card for CLIP-convnext_large_d.laion2B-s26B-b102K-augreg
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training Details](#training-details)
4. [Evaluation](#evaluation)
5. [Ack... | 11,454 | [
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internlm/internlm-20b | 2023-10-19T10:08:46.000Z | [
"transformers",
"pytorch",
"internlm",
"feature-extraction",
"text-generation",
"custom_code",
"license:apache-2.0",
"region:us"
] | text-generation | internlm | null | null | internlm/internlm-20b | 56 | 9,462 | transformers | 2023-09-18T03:27:33 | ---
license: apache-2.0
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="... | 13,068 | [
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-0.050567626953125,
-0.0313720703125... |
kfkas/Llama-2-ko-7b-Chat | 2023-09-20T08:21:34.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"kollama",
"llama-2-ko",
"llama-2-ko-chat",
"en",
"ko",
"arxiv:2307.09288",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | kfkas | null | null | kfkas/Llama-2-ko-7b-Chat | 51 | 9,454 | transformers | 2023-07-25T11:56:27 | ---
language:
- en
- ko
pipeline_tag: text-generation
inference: false
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- kollama
- llama-2-ko
- llama-2-ko-chat
---
# **Llama-2-Ko-Chat** 🦙🇰🇷
<img src=https://github.com/boostcampaitech5/level2_klue-nlp-08/assets/96530685/9dc3a02a-f554-42c7-9aa7-e7bd8c8870b7 style... | 18,477 | [
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0.0... |
pdelobelle/robbert-v2-dutch-base | 2022-11-16T11:36:42.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"nl",
"dataset:oscar",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2001.06286",
"arxiv:2004.02814",
"arxiv:2010.13652",
"arxiv:... | fill-mask | pdelobelle | null | null | pdelobelle/robbert-v2-dutch-base | 17 | 9,427 | transformers | 2022-03-02T23:29:05 | ---
language: "nl"
thumbnail: "https://github.com/iPieter/RobBERT/raw/master/res/robbert_logo.png"
tags:
- Dutch
- Flemish
- RoBERTa
- RobBERT
license: mit
datasets:
- oscar
- dbrd
- lassy-ud
- europarl-mono
- conll2002
widget:
- text: "Hallo, ik ben RobBERT, een <mask> taalmodel van de KU Leuven."
---
<p align="cente... | 14,497 | [
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facebook/contriever-msmarco | 2022-06-25T17:19:59.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"arxiv:2112.09118",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | facebook | null | null | facebook/contriever-msmarco | 7 | 9,424 | transformers | 2022-03-02T23:29:05 | ---
tags:
- feature-extraction
pipeline_tag: feature-extraction
---
This model is the finetuned version of the pre-trained contriever model available here https://huggingface.co/facebook/contriever, following the approach described in [Towards Unsupervised Dense Information Retrieval with Contrastive Learning](https://... | 1,568 | [
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kssteven/ibert-roberta-base | 2021-11-22T10:09:32.000Z | [
"transformers",
"pytorch",
"ibert",
"fill-mask",
"arxiv:1907.11692",
"arxiv:2101.01321",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | kssteven | null | null | kssteven/ibert-roberta-base | 0 | 9,420 | transformers | 2022-03-02T23:29:05 | # I-BERT base model
This model, `ibert-roberta-base`, is an integer-only quantized version of [RoBERTa](https://arxiv.org/abs/1907.11692), and was introduced in [this paper](https://arxiv.org/abs/2101.01321).
I-BERT stores all parameters with INT8 representation, and carries out the entire inference using integer-only... | 4,381 | [
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-0.... |
KoboldAI/OPT-13B-Nerybus-Mix | 2023-03-09T06:53:39.000Z | [
"transformers",
"pytorch",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/OPT-13B-Nerybus-Mix | 27 | 9,420 | transformers | 2023-02-13T06:32:16 | ---
language: en
license: other
commercial: no
inference: false
---
# OPT 13B - Nerybus Mix
## Model description
This is a merged (50/50) model of both Erebus 13B and Nerys V2 13B by Mr. Seeker.
**Warning: THIS model is NOT suitable for use by minors. The model will output X-rated content.**
## Information:
For more i... | 1,362 | [
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0.00390... |
stablediffusionapi/all-526 | 2023-04-26T20:04:01.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/all-526 | 2 | 9,408 | diffusers | 2023-04-26T20:02:20 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# All 526 API Inference
## Get API Key
... | 2,390 | [
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0.003013610... |
olm/olm-roberta-base-dec-2022 | 2023-01-20T14:32:41.000Z | [
"transformers",
"pytorch",
"tf",
"tensorboard",
"roberta",
"fill-mask",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | olm | null | null | olm/olm-roberta-base-dec-2022 | 7 | 9,381 | transformers | 2022-12-27T22:14:15 | ---
language: en
---
# OLM RoBERTa/BERT December 2022
This is a more up-to-date version of the [original BERT](https://huggingface.co/bert-base-cased) and [original RoBERTa](https://huggingface.co/roberta-base).
In addition to being more up-to-date, it also tends to perform better than the original BERT on standard... | 4,601 | [
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OpenAssistant/oasst-sft-1-pythia-12b | 2023-03-11T14:25:14.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"sft",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | OpenAssistant | null | null | OpenAssistant/oasst-sft-1-pythia-12b | 277 | 9,381 | transformers | 2023-03-09T16:47:26 | ---
license: apache-2.0
language:
- en
tags:
- sft
pipeline_tag: text-generation
widget:
- text: <|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
- text: <|prompter|>What's the Earth total population<|endoftext|><|assistant|>
- text: <|prompter|>Write a story abou... | 3,491 | [
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-0.00948333740234375,
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0... |
sentence-transformers/all-roberta-large-v1 | 2021-08-31T09:33:26.000Z | [
"sentence-transformers",
"pytorch",
"roberta",
"feature-extraction",
"sentence-similarity",
"en",
"arxiv:1904.06472",
"arxiv:2102.07033",
"arxiv:2104.08727",
"arxiv:1704.05179",
"arxiv:1810.09305",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/all-roberta-large-v1 | 38 | 9,375 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
---
# all-roberta-large-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be ... | 9,839 | [
[
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0.07568359375,
-0.051025390625,
-0.024810791015625,
-0.040771484375,
-0.00603485107421875... |
Lykon/dreamshaper-xl-1-0 | 2023-08-26T16:44:49.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"stable-diffusion-xl",
"text-to-image",
"art",
"artistic",
"anime",
"dreamshaper",
"en",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | Lykon | null | null | Lykon/dreamshaper-xl-1-0 | 15 | 9,370 | diffusers | 2023-08-26T16:44:49 | ---
language:
- en
license: openrail++
tags:
- stable-diffusion
- stable-diffusion-diffusers
- stable-diffusion-xl
- text-to-image
- art
- artistic
- diffusers
- anime
- dreamshaper
duplicated_from: lykon-models/dreamshaper-xl-1-0
---
# Dreamshaper SDXL-1-0
`lykon-models/dreamshaper-xl-1-0` is a Stable Diffusion mode... | 1,485 | [
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0.004062652587890625,
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0.043701171875,
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-0.0261688232421875,
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-0.00... |
timm/resnet50.tv_in1k | 2023-04-05T18:15:23.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1512.03385",
"license:bsd-3-clause",
"region:us"
] | image-classification | timm | null | null | timm/resnet50.tv_in1k | 0 | 9,365 | timm | 2023-04-05T18:14:58 | ---
tags:
- image-classification
- timm
library_tag: timm
license: bsd-3-clause
---
# Model card for resnet50.tv_in1k
A ResNet-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k, original to... | 37,876 | [
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Yale-LILY/brio-cnndm-uncased | 2022-11-15T18:19:02.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"text-2-text-generation",
"arxiv:2203.16804",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | Yale-LILY | null | null | Yale-LILY/brio-cnndm-uncased | 7 | 9,353 | transformers | 2022-03-30T23:35:54 | ---
tags:
- text-2-text-generation
- bart
---
# Model Card for brio-cnndm-uncased
# Model Details
## Model Description
Abstractive summarization models are commonly trained using maximum likelihood estimation, which assumes a deterministic (one-point) target distribution in which an ideal model will assign all t... | 5,786 | [
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-0.013916015625,
-0.0161590576171875,
-0.0338134765625,
-0.00775146484375,
0.03656005859375,
-0.030670166015625,
-0.03814697265625,
-0.050994873046875,
0.010253... |
laion/CLIP-ViT-g-14-laion2B-s12B-b42K | 2023-01-24T01:01:19.000Z | [
"open_clip",
"pytorch",
"clip",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | null | laion | null | null | laion/CLIP-ViT-g-14-laion2B-s12B-b42K | 26 | 9,350 | open_clip | 2022-09-14T22:53:40 | ---
license: mit
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: playing music, playing sports
example_title: Cat & Dog
---
# Model Card for CLIP ViT-g/14 - LAION-2B
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Tr... | 7,409 | [
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sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking | 2022-06-15T19:34:08.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking | 1 | 9,348 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to... | 3,814 | [
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timm/inception_resnet_v2.tf_in1k | 2023-05-10T01:09:00.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1602.07261",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/inception_resnet_v2.tf_in1k | 0 | 9,344 | timm | 2023-04-25T21:33:47 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for inception_resnet_v2.tf_in1k
A Inception-ResNet-v2 image classification model. Trained on ImageNet-1k paper authors. Ported from Tensorflow via Cadene's pretrained-models.pytorch.
## Model Detail... | 3,812 | [
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EleutherAI/polyglot-ko-5.8b | 2023-06-07T05:03:38.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"ko",
"arxiv:2104.09864",
"arxiv:2204.04541",
"arxiv:2306.02254",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/polyglot-ko-5.8b | 50 | 9,343 | transformers | 2022-09-22T06:57:04 | ---
language:
- ko
tags:
- pytorch
- causal-lm
license: apache-2.0
---
# Polyglot-Ko-5.8B
## Model Description
Polyglot-Ko is a series of large-scale Korean autoregressive language models made by the EleutherAI polyglot team.
| Hyperparameter | Value ... | 15,471 | [
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... |
Yntec/Lyriel | 2023-10-13T02:39:06.000Z | [
"diffusers",
"General",
"Fantasy",
"Banned",
"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/Lyriel | 1 | 9,342 | diffusers | 2023-10-13T00:41:22 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- Fantasy
- Banned
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Lyriel 1.2
Original model page: https://civitai.com/models/22922?modelVersionId=32704
Sample and prompt:
![Sampl... | 704 | [
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albert-large-v2 | 2023-04-06T13:41:50.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | null | null | albert-large-v2 | 12 | 9,319 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT Large v2
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-res... | 9,758 | [
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emilyalsentzer/Bio_Discharge_Summary_BERT | 2022-02-27T13:59:50.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"fill-mask",
"en",
"arxiv:1904.03323",
"arxiv:1901.08746",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | emilyalsentzer | null | null | emilyalsentzer/Bio_Discharge_Summary_BERT | 26 | 9,313 | transformers | 2022-03-02T23:29:05 | ---
language: "en"
tags:
- fill-mask
license: mit
---
# ClinicalBERT - Bio + Discharge Summary BERT Model
The [Publicly Available Clinical BERT Embeddings](https://arxiv.org/abs/1904.03323) paper contains four unique clinicalBERT models: initialized with BERT-Base (`cased_L-12_H-768_A-12`) or BioBERT (`BioBERT-Base ... | 2,751 | [
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vilsonrodrigues/falcon-7b-instruct-sharded | 2023-07-13T12:22:04.000Z | [
"transformers",
"safetensors",
"falcon",
"text-generation",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2205.14135",
"arxiv:1911.02150",
"arxiv:2005.14165",
"arxiv:2104.09864",
"arxiv:2306.01116",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-gene... | text-generation | vilsonrodrigues | null | null | vilsonrodrigues/falcon-7b-instruct-sharded | 22 | 9,305 | transformers | 2023-06-09T01:06:04 | ---
datasets:
- tiiuae/falcon-refinedweb
language:
- en
inference: true
widget:
- text: "Hey Falcon! Any recommendations for my holidays in Abu Dhabi?"
example_title: "Abu Dhabi Trip"
- text: "What's the Everett interpretation of quantum mechanics?"
example_title: "Q/A: Quantum & Answers"
- text: "Giv... | 10,351 | [
[
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... |
timm/eva_large_patch14_196.in22k_ft_in22k_in1k | 2023-03-31T06:13:42.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2211.07636",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva_large_patch14_196.in22k_ft_in22k_in1k | 0 | 9,300 | timm | 2022-12-22T07:08:20 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
- imagenet-22k
---
# Model card for eva_large_patch14_196.in22k_ft_in22k_in1k
An EVA image classification model. Pretrained on ImageNet-22k with masked image modeling (using EVA-CLIP as a MIM teacher) and fine... | 5,072 | [
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0.0... |
hoskinson-center/proofGPT-v0.1 | 2023-02-15T19:08:47.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"text generation",
"causal-lm",
"en",
"dataset:hoskinson-center/proof-pile",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | hoskinson-center | null | null | hoskinson-center/proofGPT-v0.1 | 3 | 9,291 | transformers | 2022-12-01T01:13:54 | ---
language:
- en
tags:
- text generation
- pytorch
- causal-lm
- gpt_neox
license: mit
datasets:
- hoskinson-center/proof-pile
---
# ProofGPT-v0.1
# Model Description
ProofGPT-v0.1 is a 1.3B parameter language model based on the GPT-NeoX architecture and trained on the [proof-pile](https://huggingface.co/datasets/h... | 795 | [
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hyunseoki/ko-ref-llama2-7b | 2023-10-04T07:22:05.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | hyunseoki | null | null | hyunseoki/ko-ref-llama2-7b | 3 | 9,287 | transformers | 2023-10-04T07:05:50 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
---
**Model Developers** HyunseokLee, TaeyoungKim - (kaist alinlab, omnious.ai)
**Input** Models input text only.
**Output** Models generate text only.
**Model Architecture**
ko-ref-llama2-7b is an auto-regressive language model based on ... | 503 | [
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0.0107269287109375... |
Yntec/CyberRealistic | 2023-10-17T04:07:07.000Z | [
"diffusers",
"Photorealistic",
"Highly Detailed",
"Beautiful",
"Cyberdelia",
"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/CyberRealistic | 1 | 9,270 | diffusers | 2023-10-16T21:44:55 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Photorealistic
- Highly Detailed
- Beautiful
- Cyberdelia
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# CyberRealistic V2
Original page: https://civitai.com/models/15003?modelVersionId=55... | 798 | [
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jarvisx17/japanese-sentiment-analysis | 2023-03-03T11:00:00.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"ja",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | jarvisx17 | null | null | jarvisx17/japanese-sentiment-analysis | 6 | 9,259 | transformers | 2022-11-15T06:28:39 | ---
tags:
- generated_from_trainer
language: ja
widget:
- text: "🤗セグメント利益は、前期比8.3％増の24億28百万円となった"
metrics:
- accuracy
- f1
model-index:
- name: Japanese-sentiment-analysis
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probabl... | 1,676 | [
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goofyai/3d_render_style_xl | 2023-08-14T16:58:25.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:apache-2.0",
"has_space",
"region:us"
] | text-to-image | goofyai | null | null | goofyai/3d_render_style_xl | 62 | 9,249 | diffusers | 2023-08-14T16:41:59 | ---
license: apache-2.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: 3d style, 3d, 3d render
widget:
- text: 3d style llama
---
# 3D Render Style SDXL
## Support me in upgrading my 3060 to a 40xx GPU as my current GPU struggles with S... | 738 | [
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mrm8488/t5-base-finetuned-emotion | 2021-06-23T12:46:24.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:emotion",
"arxiv:1910.10683",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | mrm8488 | null | null | mrm8488/t5-base-finetuned-emotion | 36 | 9,248 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- emotion
widget:
- text: "I wish you were here but it is impossible"
---
# T5-base fine-tuned for Emotion Recognition 😂😢😡😃😯
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) base fine-tuned on [emotion recognition](https://github.com/dair-ai/em... | 3,990 | [
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bennyguo/zero123-diffusers | 2023-08-07T08:31:53.000Z | [
"diffusers",
"arxiv:2303.11328",
"license:mit",
"has_space",
"diffusers:Zero123Pipeline",
"region:us"
] | null | bennyguo | null | null | bennyguo/zero123-diffusers | 2 | 9,237 | diffusers | 2023-08-01T08:38:23 | ---
license: mit
---
# Uses
_Note: This section is originally taken from the [Stable Diffusion v2 model card](https://huggingface.co/stabilityai/stable-diffusion-2), but applies in the same way to Zero-1-to-3._
## Direct Use
The model is intended for research purposes only. Possible research areas and tasks include:... | 4,272 | [
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Qwen/Qwen-14B-Chat | 2023-11-05T03:27:18.000Z | [
"transformers",
"safetensors",
"qwen",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2309.16609",
"arxiv:2305.08322",
"arxiv:2009.03300",
"arxiv:2305.05280",
"arxiv:2210.03629",
"region:us"
] | text-generation | Qwen | null | null | Qwen/Qwen-14B-Chat | 257 | 9,236 | transformers | 2023-09-24T03:27:58 | ---
language:
- zh
- en
tags:
- qwen
pipeline_tag: text-generation
inference: false
---
# Qwen-14B-Chat
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_qwen.jpg" width="400"/>
<p>
<br>
<p align="center">
🤗 <a href="https://huggingface.co/Qwen">Hugging Face</a>  ... | 28,744 | [
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elyza/ELYZA-japanese-Llama-2-7b | 2023-08-29T03:45:51.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ja",
"en",
"arxiv:2307.09288",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | elyza | null | null | elyza/ELYZA-japanese-Llama-2-7b | 38 | 9,235 | transformers | 2023-08-28T12:38:34 | ---
license: llama2
language:
- ja
- en
---
## ELYZA-japanese-Llama-2-7b
### Model Description
**ELYZA-japanese-Llama-2-7b** は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。
詳細は [Blog記事](https://note.com/elyza/n/na405acaca130) を参照してください。
### Usage
```python
import tor... | 4,469 | [
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-0.034332275390625,
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0.0102081298828125,
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0.044830322265625,
0.0080413818359375,
-0.046356201171875,
-0.0452880859375,
-0.042816162109375,
0.014915... |
Salesforce/blip2-opt-6.7b-coco | 2023-09-13T08:47:26.000Z | [
"transformers",
"pytorch",
"blip-2",
"visual-question-answering",
"vision",
"image-to-text",
"image-captioning",
"en",
"arxiv:2301.12597",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | Salesforce | null | null | Salesforce/blip2-opt-6.7b-coco | 18 | 9,233 | transformers | 2023-02-07T15:18:25 | ---
language: en
license: mit
tags:
- vision
- image-to-text
- image-captioning
- visual-question-answering
pipeline_tag: image-to-text
---
# BLIP-2, OPT-6.7b, fine-tuned on COCO
BLIP-2 model, leveraging [OPT-6.7b](https://huggingface.co/facebook/opt-6.7b) (a large language model with 6.7 billion parameters).
It was ... | 3,349 | [
[
-0.0302886962890625,
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0.046142578125,
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-0.0233154296875,
-0.0728759765625,
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0.052520751953125,
-0.0313720703125,
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-0.0455322265625,
... |
laion/CLIP-ViT-B-16-DataComp.XL-s13B-b90K | 2023-09-29T22:41:47.000Z | [
"open_clip",
"zero-shot-image-classification",
"dataset:mlfoundations/datacomp_pools",
"arxiv:2304.14108",
"license:mit",
"region:us"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-ViT-B-16-DataComp.XL-s13B-b90K | 1 | 9,219 | open_clip | 2023-05-15T19:27:18 | ---
license: mit
widget:
- src: >-
https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: playing music, playing sports
example_title: Cat & Dog
library_name: open_clip
datasets:
- mlfoundations/datacomp_pools
pipeline_tag: zero-shot-image-classification
---
# Mode... | 7,405 | [
[
-0.032501220703125,
-0.04937744140625,
0.0123748779296875,
0.0027923583984375,
-0.03009033203125,
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-0.01433563232421875,
-0.0433349609375,
0.003753662109375,
0.0306243896484375,
-0.042266845703125,
-0.04620361328125,
-0.04742431640625,
-0.0... |
stablediffusionapi/edge-of-realism | 2023-05-18T12:56:13.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/edge-of-realism | 18 | 9,216 | diffusers | 2023-04-22T03:05:12 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# API Inference
## Get API Key
Get API key from [Stable... | 2,393 | [
[
-0.0325927734375,
-0.0711669921875,
0.037567138671875,
0.0155029296875,
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0.0202484130859375,
-0.0296173095703125,
0.038116455078125,
0.039947509765625,
-0.06402587890625,
-0.06524658203125,
-0.0257720947265625,
-0.007492... |
osiria/bert-tweet-italian-uncased-sentiment | 2023-06-20T22:31:17.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"it",
"arxiv:1810.04805",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | osiria | null | null | osiria/bert-tweet-italian-uncased-sentiment | 1 | 9,209 | transformers | 2023-05-29T17:27:11 | ---
license: apache-2.0
language:
- it
widget:
- text: "una fantastica giornata di #calcio! grande prestazione del mister e della squadra"
example_title: "Example 1"
- text: "il governo dovrebbe fare politica, non soltanto propaganda! #vergogna"
example_title: "Example 2"
- text: "che serata da sogno sul #redcarpet... | 3,616 | [
[
-0.031402587890625,
-0.0543212890625,
0.01122283935546875,
0.04522705078125,
-0.029937744140625,
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-0.0255889892578125,
-0.038177490234375,
0.02801513671875,
-0.01023101806640625,
-0.059844970703125,
-0.05975341796875,
-0.059112548828125,
-... |
deepset/bert-medium-squad2-distilled | 2023-05-05T06:59:02.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"question-answering",
"exbert",
"en",
"dataset:squad_v2",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | deepset | null | null | deepset/bert-medium-squad2-distilled | 3 | 9,197 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: mit
tags:
- exbert
datasets:
- squad_v2
thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
model-index:
- name: deepset/bert-medium-squad2-distilled
results:
- task:
type: question-answering
name: Question Answe... | 2,883 | [
[
-0.0252532958984375,
-0.050018310546875,
0.0293731689453125,
0.0155181884765625,
-0.0056304931640625,
0.0146484375,
-0.0347900390625,
-0.03717041015625,
0.00551605224609375,
0.01934814453125,
-0.057403564453125,
-0.060394287109375,
-0.035430908203125,
-0.001... |
timm/resnetv2_50x1_bit.goog_in21k | 2023-03-22T20:57:51.000Z | [
"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_50x1_bit.goog_in21k | 0 | 9,195 | timm | 2023-03-22T20:57:10 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for resnetv2_50x1_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 ... | 4,520 | [
[
-0.0345458984375,
-0.027008056640625,
0.0015325546264648438,
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-0.02777099609375,
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-0.02337646484375,
-0.033416748046875,
0.018463134765625,
0.035797119140625,
-0.030364990234375,
-0.0447998046875,
-0.053924560546875,
-0... |
cross-encoder/stsb-roberta-large | 2021-08-05T08:42:03.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | cross-encoder | null | null | cross-encoder/stsb-roberta-large | 6 | 9,180 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
# Cross-Encoder for Quora Duplicate Questions Detection
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
## Training Data
This model was trained on the [STS benchmark dataset]... | 941 | [
[
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-0.060394287109375,
0.01953125,
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0.012176513671875,
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0.00899505615234375,
0.051849365234375,
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-0.031951904296875,
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0.0331420... |
uw-madison/yoso-4096 | 2022-01-12T13:36:04.000Z | [
"transformers",
"pytorch",
"yoso",
"fill-mask",
"arxiv:2111.09714",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | uw-madison | null | null | uw-madison/yoso-4096 | 0 | 9,172 | transformers | 2022-03-02T23:29:05 | # YOSO
YOSO model for masked language modeling (MLM) for sequence length 4096.
## About YOSO
The YOSO model was proposed in [You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling](https://arxiv.org/abs/2111.09714) by Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Fun... | 2,566 | [
[
-0.02984619140625,
-0.041656494140625,
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-0.0160675048828125,
-0.0217132568359375,
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0.044403076171875,
-0.05389404296875,
-0.0297393798828125,
-0.03717041015625,
... |
jondurbin/airoboros-l2-13b-gpt4-m2.0 | 2023-08-14T10:09:50.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-gpt4-m2.0",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | jondurbin | null | null | jondurbin/airoboros-l2-13b-gpt4-m2.0 | 26 | 9,170 | transformers | 2023-07-28T06:20:23 | ---
license: other
datasets:
- jondurbin/airoboros-gpt4-m2.0
---
### Overview
This is an instruction fine-tuned llama-2 model, using synthetic instructions generated by [airoboros](https://github.com/jondurbin/airoboros)
- The 2.0 series are generated exclusively from 0614 version of gpt-4, as mechanism to compare t... | 17,780 | [
[
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-0.0213623046875,
-0.009490966796875,
-0.0222625732421875,
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0.03466796875,
-0.05340576171875,
-0.042083740234375,
-0.028717041015625,
0.02159118... |
EleutherAI/pythia-410m | 2023-07-09T16:01:42.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"en",
"dataset:EleutherAI/pile",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region... | text-generation | EleutherAI | null | null | EleutherAI/pythia-410m | 9 | 9,138 | transformers | 2023-02-13T18:45:00 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
license: apache-2.0
datasets:
- EleutherAI/pile
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
It contains two sets of eight models of sizes
70M, 1... | 13,570 | [
[
-0.0273590087890625,
-0.055877685546875,
0.0251922607421875,
0.00366973876953125,
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-0.0222930908203125,
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... |
hyunseoki/ko-ref-llama2-13b | 2023-10-04T07:03:44.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | hyunseoki | null | null | hyunseoki/ko-ref-llama2-13b | 1 | 9,082 | transformers | 2023-10-04T06:38:18 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
---
**Model Developers** HyunseokLee, TaeyoungKim - (kaist alinlab, omnious.ai)
**Input** Models input text only.
**Output** Models generate text only.
**Model Architecture**
ko-ref-llama2-13b is an auto-regressive language model based on... | 505 | [
[
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0.051513671875,
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-0.035614013671875,
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0.01048... |
liuhaotian/llava-v1-0719-336px-lora-merge-vicuna-13b-v1.3 | 2023-07-19T08:54:01.000Z | [
"transformers",
"pytorch",
"llava",
"text-generation",
"region:us"
] | text-generation | liuhaotian | null | null | liuhaotian/llava-v1-0719-336px-lora-merge-vicuna-13b-v1.3 | 8 | 9,078 | transformers | 2023-07-19T08:39:56 | ---
inference: false
---
<br>
<br>
# LLaVA Model Card
## Model details
**Model type:**
LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
**Model date:**
LLaVA-v1... | 1,576 | [
[
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0.044677734375,
-0.036773681640625,
-0.0447998046875,
-0.03375244140625,
-0.0034... |
nvidia/segformer-b3-finetuned-ade-512-512 | 2022-08-06T10:29:16.000Z | [
"transformers",
"pytorch",
"tf",
"segformer",
"vision",
"image-segmentation",
"dataset:scene_parse_150",
"arxiv:2105.15203",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | nvidia | null | null | nvidia/segformer-b3-finetuned-ade-512-512 | 6 | 9,074 | 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... | 3,209 | [
[
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0.04351806640625,
-0.06439208984375,
-0.043487548828125,
-0.0565185546875,
0.0082397... |
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