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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
timm/beit_large_patch16_224.in22k_ft_in22k_in1k | 2023-05-08T23:26:01.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2106.08254",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/beit_large_patch16_224.in22k_ft_in22k_in1k | 0 | 931 | timm | 2022-12-23T02:28:05 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for beit_large_patch16_224.in22k_ft_in22k_in1k
A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visua... | 3,739 | [
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proximasanfinetuning/fantassified_icons_v2 | 2023-06-08T19:26:22.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"finetune",
"icons",
"art",
"en",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | proximasanfinetuning | null | null | proximasanfinetuning/fantassified_icons_v2 | 36 | 931 | diffusers | 2023-05-10T22:35:57 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- finetune
- icons
- art
language:
- en
---
## new and shiny 。・:*:・゚’☆
[<img src="https://huggingface.co/proximasanfinetuning/fantassified_icons_v2/resolve/main/animatedicons.gif">](https://huggingface.co/proximasanfinetuning/fantassified_icons_v2/blob/main/... | 4,472 | [
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Helsinki-NLP/opus-mt-st-en | 2023-08-16T12:04:36.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"st",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-st-en | 0 | 930 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-st-en
* source languages: st
* target languages: en
* OPUS readme: [st-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 816 | [
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timm/convnext_large.fb_in1k | 2023-03-31T22:06:28.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_large.fb_in1k | 0 | 930 | timm | 2022-12-13T07:08:36 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for convnext_large.fb_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Sta... | 15,624 | [
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seeklhy/codes-1b | 2023-09-04T12:36:59.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"SQL generation",
"Text-to-SQL",
"text2sql",
"sql",
"code",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | seeklhy | null | null | seeklhy/codes-1b | 0 | 930 | transformers | 2023-08-27T09:11:37 | ---
language:
- sql
- code
tags:
- SQL generation
- Text-to-SQL
- text2sql
license: "apache-2.0"
---
# CodeS-1B
CodeS is a series of Code LLMs specifically optimized for SQL generation.
The CodeS encompasses 1B, 3B, 7B, and 15B scales. CodeS-1B, 3B, and 7B are incrementally pre-trained on the top of StarCoderBase-1... | 758 | [
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Helsinki-NLP/opus-mt-ru-es | 2023-08-16T12:03:24.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-ru-es | 2 | 929 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ru-es
* source languages: ru
* target languages: es
* OPUS readme: [ru-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 898 | [
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0... |
Yntec/Reanimate | 2023-11-05T16:23:36.000Z | [
"diffusers",
"Anime",
"Art",
"Illustration",
"Cartoon",
"XpucT",
"s6yx",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Yntec | null | null | Yntec/Reanimate | 0 | 929 | diffusers | 2023-11-05T15:11:52 | ---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Art
- Illustration
- Cartoon
- XpucT
- s6yx
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# Reanimate
A mix of ReVAnimated by s6yx and Deliberate by XpucT to bring my favorite t... | 1,005 | [
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lvwerra/pegasus-samsum | 2021-10-25T14:57:33.000Z | [
"transformers",
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"generated_from_trainer",
"dataset:samsum",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | lvwerra | null | null | lvwerra/pegasus-samsum | 2 | 928 | transformers | 2022-03-02T23:29:05 | ---
tags:
- generated_from_trainer
datasets:
- samsum
model-index:
- name: pegasus-samsum
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. -->
# pegasus-samsum
This ... | 1,819 | [
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-0.0625,
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-0.0147552490... |
IDEA-CCNL/Randeng-Pegasus-523M-Summary-Chinese-V1 | 2023-04-06T06:14:02.000Z | [
"transformers",
"pytorch",
"pegasus",
"text2text-generation",
"summarization",
"chinese",
"zh",
"arxiv:1912.08777",
"arxiv:2209.02970",
"autotrain_compatible",
"region:us"
] | summarization | IDEA-CCNL | null | null | IDEA-CCNL/Randeng-Pegasus-523M-Summary-Chinese-V1 | 4 | 928 | transformers | 2023-01-13T09:21:54 | ---
language: zh
tags:
- summarization
- chinese
inference: False
---
# Randeng-Pegasus-523M-Summary-Chinese-V1
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM/blob/main/fengshen/examples/summary/randeng_pegasus_523M_summary.sh)
- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs... | 4,443 | [
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0.010... |
526christian/526mix-v1.5 | 2023-08-09T19:18:04.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 526christian | null | null | 526christian/526mix-v1.5 | 1 | 928 | diffusers | 2023-08-02T20:47:05 | ---
language:
- en
tags:
- stable-diffusion
- text-to-image
license: creativeml-openrail-m
inference: true
---
High saturation is much less frequently an issue in this version at 7 CFG than the last. But if it happens again, it helps to pull back to 6.
`<neg-sketch-2>` negative embedding highly recommended for realism... | 1,379 | [
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classla/wav2vec2-xls-r-parlaspeech-hr | 2023-06-23T06:29:11.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"parlaspeech",
"hr",
"dataset:parlaspeech-hr",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | classla | null | null | classla/wav2vec2-xls-r-parlaspeech-hr | 2 | 925 | transformers | 2022-03-02T23:29:05 | ---
language: hr
datasets:
- parlaspeech-hr
tags:
- audio
- automatic-speech-recognition
- parlaspeech
widget:
- example_title: example 1
src: https://huggingface.co/classla/wav2vec2-xls-r-parlaspeech-hr/raw/main/1800.m4a
- example_title: example 2
src: https://huggingface.co/classla/wav2vec2-xls-r-parlaspeech-hr/r... | 2,893 | [
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0.022216796875,
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-0.003982543945312... |
timm/tf_efficientnet_b4.aa_in1k | 2023-04-27T21:19:11.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1805.09501",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b4.aa_in1k | 0 | 925 | timm | 2022-12-13T00:03:05 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b4.aa_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with auto-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | 4,494 | [
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timm/convnext_base.clip_laion2b_augreg_ft_in1k | 2023-03-31T21:55:41.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:laion-2b",
"arxiv:2210.08402",
"arxiv:2201.03545",
"arxiv:2103.00020",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_base.clip_laion2b_augreg_ft_in1k | 0 | 925 | timm | 2023-02-03T18:32:07 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- laion-2b
---
# Model card for convnext_base.clip_laion2b_augreg_ft_in1k
A ConvNeXt image classification model. CLIP image tower weights pretrained in [OpenCLIP](https://github.com/mlfoundations/open_clip) on LAION a... | 18,496 | [
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Unbabel/xlm-roberta-comet-small | 2021-07-10T17:32:40.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"feature-extraction",
"arxiv:2012.15828",
"endpoints_compatible",
"region:us"
] | feature-extraction | Unbabel | null | null | Unbabel/xlm-roberta-comet-small | 1 | 924 | transformers | 2022-03-02T23:29:05 | # Model
mMiniLM-L12xH384 XLM-R model proposed in [MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers](https://arxiv.org/abs/2012.15828) that we fine-tune using the direct assessment annotations collected in the Workshop on Statistical Machine Translation (WMT) 2015 to 202... | 412 | [
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0.... |
timm/maxvit_base_tf_384.in21k_ft_in1k | 2023-05-10T23:57:09.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_base_tf_384.in21k_ft_in1k | 0 | 924 | timm | 2022-12-02T21:49:04 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for maxvit_base_tf_384.in21k_ft_in1k
An official MaxViT image classification model. Pretrained in tensorflow on ImageNet-21k (21843 Google specific instance of ImageNet-22k) and fine-t... | 22,282 | [
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badmonk/rkmijo | 2023-07-15T11:11:45.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | badmonk | null | null | badmonk/rkmijo | 1 | 924 | diffusers | 2023-07-13T19:39:40 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
# Model Card for RKMIJO
## Model Description
- **Developed by:** BADMONK
- **Model type:** Dreambooth Model + Extracted LoRA
- **Language(s) (NLP):** EN
- **License:** Creativeml-Openrail-M
- **Parent Model:** majicMIX som... | 427 | [
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MBZUAI/LaMini-Flan-T5-77M | 2023-04-28T12:08:06.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"instruction fine-tuning",
"en",
"arxiv:2304.14402",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | MBZUAI | null | null | MBZUAI/LaMini-Flan-T5-77M | 11 | 923 | transformers | 2023-04-10T08:20:26 | ---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
- instruction fine-tuning
model-index:
- name: flan-t5-small-distil-v2
results: []
language:
- en
pipeline_tag: text2text-generation
widget:
- text: >-
how can I become more healthy?
example_title: example
---
<!-- This model card has been generate... | 6,414 | [
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timm/cait_m48_448.fb_dist_in1k | 2023-04-13T01:45:43.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2103.17239",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/cait_m48_448.fb_dist_in1k | 0 | 923 | timm | 2023-04-13T01:40:54 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for cait_m48_448.fb_dist_in1k
A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors.
## Model Details
- **Model Type:... | 2,739 | [
[
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timm/twins_svt_base.in1k | 2023-04-23T23:23:56.000Z | [
"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_base.in1k | 0 | 923 | timm | 2023-04-23T23:23:09 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for twins_svt_base.in1k
A Twins-SVT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**... | 2,833 | [
[
-0.038818359375,
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timm/convnext_xlarge.fb_in22k_ft_in1k | 2023-03-31T22:46:38.000Z | [
"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_xlarge.fb_in22k_ft_in1k | 0 | 922 | timm | 2022-12-13T07:17:29 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_xlarge.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:... | 15,748 | [
[
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0.037994384765625,
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InstaDeepAI/nucleotide-transformer-v2-500m-multi-species | 2023-10-11T12:28:32.000Z | [
"transformers",
"pytorch",
"fill-mask",
"DNA",
"biology",
"genomics",
"custom_code",
"dataset:InstaDeepAI/multi_species_genome",
"dataset:InstaDeepAI/nucleotide_transformer_downstream_tasks",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us... | fill-mask | InstaDeepAI | null | null | InstaDeepAI/nucleotide-transformer-v2-500m-multi-species | 1 | 922 | transformers | 2023-07-27T09:04:55 | ---
license: cc-by-nc-sa-4.0
widget:
- text: ACCTGA<mask>TTCTGAGTC
tags:
- DNA
- biology
- genomics
datasets:
- InstaDeepAI/multi_species_genome
- InstaDeepAI/nucleotide_transformer_downstream_tasks
---
# nucleotide-transformer-v2-500m-multi-species
The Nucleotide Transformers are a collection of foundational language... | 6,342 | [
[
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0.0... |
timm/vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k | 2023-05-06T00:09:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:laion-2b",
"dataset:imagenet-12k",
"arxiv:2212.07143",
"arxiv:2210.08402",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k | 0 | 921 | timm | 2022-11-02T18:58:38 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- laion-2b
- imagenet-12k
---
# Model card for vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k
A Vision Transformer (ViT) image classification model. Pretrained on LAION-2B image-text pairs using OpenCLIP. Fine-tuned... | 5,766 | [
[
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artificialguybr/StoryBookRedmond-V2 | 2023-10-07T19:18:27.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/StoryBookRedmond-V2 | 3 | 921 | diffusers | 2023-10-07T19:15:31 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: KidsRedmAF, Kids Book
widget:
- text: KidsRedmAF, Kids Book
---
# StoryBook.Redmond V2

StoryBook.Redmond V2 is here!
Tes... | 1,235 | [
[
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Palak/microsoft_deberta-large_squad | 2021-12-24T18:12:42.000Z | [
"transformers",
"pytorch",
"deberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | Palak | null | null | Palak/microsoft_deberta-large_squad | 0 | 920 | transformers | 2022-03-02T23:29:04 | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: microsoft-deberta-large
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. -->
# microsoft-deb... | 1,123 | [
[
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-0.038299560546875,
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-... |
facebook/convnext-large-384 | 2023-09-04T21:22:21.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"convnext",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | facebook | null | null | facebook/convnext-large-384 | 0 | 920 | transformers | 2022-03-02T23:29:05 | ---
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... | 3,079 | [
[
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-0.0... |
h2oai/h2ogpt-4096-llama2-13b | 2023-08-24T18:34:43.000Z | [
"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-llama2-13b | 5 | 919 | transformers | 2023-08-09T17:36:58 | ---
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 13B](https://huggingface.co/meta-llama/Llama-2-13b-hf).
This model can be fine-tuned with [H2O.ai](https://h2o.ai/) open-... | 1,668 | [
[
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-0.0430908203125,
-0.04180908203125,
-0.01736450195312... |
eugenesiow/edsr | 2021-09-13T03:46:42.000Z | [
"transformers",
"EDSR",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1707.02921",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible"... | null | eugenesiow | null | null | eugenesiow/edsr | 3 | 917 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- super-image
- image-super-resolution
datasets:
- eugenesiow/Div2k
- eugenesiow/Set5
- eugenesiow/Set14
- eugenesiow/BSD100
- eugenesiow/Urban100
metrics:
- pnsr
- ssim
---
# Enhanced Deep Residual Networks for Single Image Super-Resolution (EDSR)
EDSR model pre-trained on DIV2K (800 imag... | 8,501 | [
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facebook/dinov2-large-imagenet1k-1-layer | 2023-09-15T16:37:58.000Z | [
"transformers",
"pytorch",
"safetensors",
"dinov2",
"image-classification",
"dino",
"vision",
"dataset:imagenet-1k",
"arxiv:2304.07193",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | facebook | null | null | facebook/dinov2-large-imagenet1k-1-layer | 0 | 917 | transformers | 2023-09-14T20:04:10 | ---
license: apache-2.0
tags:
- dino
- vision
datasets:
- imagenet-1k
---
# Vision Transformer (large-sized model) trained using DINOv2
Vision Transformer (ViT) model trained using the DINOv2 method. It was introduced in the paper [DINOv2: Learning Robust Visual Features without Supervision](https://arxiv.org/abs/230... | 3,367 | [
[
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-0.0160675048828125,
-0.0567932128906... |
Helsinki-NLP/opus-mt-mt-en | 2023-08-16T12:01:19.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"marian",
"text2text-generation",
"translation",
"mt",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-mt-en | 0 | 916 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mt-en
* source languages: mt
* target languages: en
* OPUS readme: [mt-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 851 | [
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Helsinki-NLP/opus-mt-tc-big-en-fr | 2023-10-10T10:25:37.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"opus-mt-tc",
"en",
"fr",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-tc-big-en-fr | 2 | 916 | transformers | 2022-04-13T14:07:14 | ---
language:
- en
- fr
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-en-fr
results:
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: flores101-devtest
type: flores_101
args: eng fra devtest
metrics... | 10,302 | [
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0.0... |
deepseek-ai/deepseek-coder-33b-base | 2023-11-05T10:29:33.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | deepseek-ai | null | null | deepseek-ai/deepseek-coder-33b-base | 20 | 916 | transformers | 2023-10-28T08:14:27 | ---
license: other
license_name: deepseek-license
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="htt... | 6,833 | [
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facebook/vit-msn-small | 2022-09-30T13:20:37.000Z | [
"transformers",
"pytorch",
"vit_msn",
"feature-extraction",
"vision",
"dataset:imagenet-1k",
"arxiv:2204.07141",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | facebook | null | null | facebook/vit-msn-small | 1 | 915 | transformers | 2022-09-09T06:08:20 | ---
license: apache-2.0
tags:
- vision
datasets:
- imagenet-1k
---
# Vision Transformer (small-sized model) pre-trained with MSN
Vision Transformer (ViT) model pre-trained using the MSN method. It was introduced in the paper [Masked Siamese Networks for Label-Efficient Learning](https://arxiv.org/abs/2204.07141) by M... | 3,216 | [
[
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-0.0212554931640625,
-0.055419921875,
-0.00... |
malteos/bloom-1b5-clp-german | 2023-09-11T11:43:05.000Z | [
"transformers",
"pytorch",
"safetensors",
"bloom",
"text-generation",
"de",
"dataset:oscar",
"arxiv:2301.09626",
"license:bigscience-bloom-rail-1.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | malteos | null | null | malteos/bloom-1b5-clp-german | 7 | 915 | transformers | 2022-10-18T10:01:57 | ---
license: bigscience-bloom-rail-1.0
language: de
pipeline_tag: text-generation
widget:
- text: >-
In einer schockierenden Entdeckung fanden Wissenschaftler eine Herde
Einhörner, die in
example_title: Einhörner ...
- text: >-
Definiere folgende Wörter
Wort: Einhorn
Definition: Das Einhorn is... | 1,192 | [
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0.0... |
timm/mixnet_s.ft_in1k | 2023-04-27T21:13:49.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1907.09595",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mixnet_s.ft_in1k | 0 | 915 | timm | 2022-12-12T23:59:47 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mixnet_s.ft_in1k
A MixNet image classification model. Fine-tuned on ImageNet-1k from original Tensorflow "SAME" padding weights for use in PyTorch.
## Model Details
- **Model Type:** Image clas... | 3,919 | [
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bert-base-german-dbmdz-cased | 2022-07-18T20:03:25.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"fill-mask",
"de",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | null | null | bert-base-german-dbmdz-cased | 0 | 914 | transformers | 2022-03-02T23:29:04 | ---
language: de
license: mit
---
This model is the same as [dbmdz/bert-base-german-cased](https://huggingface.co/dbmdz/bert-base-german-cased). See the [dbmdz/bert-base-german-cased model card](https://huggingface.co/dbmdz/bert-base-german-cased) for details on the model. | 274 | [
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0.052978515625,
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-0.046661376953125,
-0.01161956787109375,
-0.02407836... |
TryStar/CloneDiffusion | 2023-05-10T19:28:23.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | TryStar | null | null | TryStar/CloneDiffusion | 61 | 914 | diffusers | 2022-11-21T19:40:36 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
---
This is the fine-tuned Stable Diffusion model trained on screenshots from The Clone wars TV series. Use the tokens "Clonewars style" in your prompts for the effect.
**If you enjoy my work, please consider supporting me:**
[![Buy me a coffe... | 1,275 | [
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0.0078125,
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timm/beit_large_patch16_384.in22k_ft_in22k_in1k | 2023-05-08T23:29:18.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2106.08254",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/beit_large_patch16_384.in22k_ft_in22k_in1k | 0 | 914 | timm | 2022-12-23T02:30:12 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for beit_large_patch16_384.in22k_ft_in22k_in1k
A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visua... | 3,741 | [
[
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-0.00399398... |
cvssp/audioldm2-music | 2023-08-29T14:41:17.000Z | [
"diffusers",
"arxiv:2308.05734",
"license:cc-by-nc-nd-4.0",
"diffusers:AudioLDM2Pipeline",
"region:us"
] | null | cvssp | null | null | cvssp/audioldm2-music | 2 | 914 | diffusers | 2023-08-21T11:00:44 | ---
license: cc-by-nc-nd-4.0
---
# AudioLDM 2 Music
AudioLDM 2 is a latent text-to-audio diffusion model capable of generating realistic audio samples given any text input.
It is available in the 🧨 Diffusers library from v0.21.0 onwards.
# Model Details
AudioLDM 2 was proposed in the paper [AudioLDM 2: Learning H... | 5,429 | [
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-0.... |
TheBloke/Nous-Hermes-Llama2-70B-GPTQ | 2023-09-27T12:46:00.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-2",
"self-instruct",
"distillation",
"synthetic instruction",
"en",
"license:mit",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Nous-Hermes-Llama2-70B-GPTQ | 6 | 914 | transformers | 2023-08-24T08:35:24 | ---
language:
- en
license:
- mit
tags:
- llama-2
- self-instruct
- distillation
- synthetic instruction
model_name: Nous Hermes Llama2 70B
base_model: NousResearch/Nous-Hermes-Llama2-70b
inference: false
model_creator: NousResearch
model_type: llama
prompt_template: '### Instruction:
{prompt}
### Response:
... | 24,530 | [
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deepseek-ai/deepseek-coder-33b-instruct | 2023-11-05T16:22:50.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | deepseek-ai | null | null | deepseek-ai/deepseek-coder-33b-instruct | 56 | 914 | transformers | 2023-11-01T05:46:34 | ---
license: other
license_name: deepseek
license_link: LICENSE
---
<p align="center">
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://cod... | 3,468 | [
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-... |
UBC-NLP/MARBERTv2 | 2022-03-30T21:52:31.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"fill-mask",
"Arabic BERT",
"MSA",
"Twitter",
"Masked Langauge Model",
"ar",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | UBC-NLP | null | null | UBC-NLP/MARBERTv2 | 6 | 913 | transformers | 2022-03-02T23:29:05 | ---
language:
- ar
tags:
- Arabic BERT
- MSA
- Twitter
- Masked Langauge Model
widget:
- text: "اللغة العربية هي لغة [MASK]."
---
<img src="https://raw.githubusercontent.com/UBC-NLP/marbert/main/ARBERT_MARBERT.jpg" alt="drawing" width="30%" height="30%" align="right"/>
**MARBERTv2** is one of... | 4,023 | [
[
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0.0157470703125,
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0.0396728515625,
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0.005... |
timm/tf_efficientnet_lite3.in1k | 2023-04-27T21:38:29.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_lite3.in1k | 0 | 913 | timm | 2022-12-13T00:13:52 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_lite3.in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | 4,092 | [
[
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osanseviero/BigGAN-deep-128 | 2022-02-21T13:55:46.000Z | [
"generic",
"pytorch",
"text-to-image",
"has_space",
"region:us"
] | text-to-image | osanseviero | null | null | osanseviero/BigGAN-deep-128 | 14 | 912 | generic | 2022-03-02T23:29:05 | ---
tags:
- text-to-image
library_name: generic
---
# Image generation using pretrained BigGAN
## Warning: This only works for ImageNet inputs.
List of possible inputs: https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a
GitHub repository: https://github.com/huggingface/pytorch-pretrained-BigGAN
| 309 | [
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-0.0406494140625,
-0.0645751953125,
-0.0072860717... |
line-corporation/japanese-large-lm-1.7b | 2023-08-17T01:06:37.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"ja",
"dataset:wikipedia",
"dataset:mc4",
"dataset:cc100",
"dataset:oscar",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | line-corporation | null | null | line-corporation/japanese-large-lm-1.7b | 23 | 911 | transformers | 2023-07-21T00:46:33 | ---
license: apache-2.0
datasets:
- wikipedia
- mc4
- cc100
- oscar
language:
- ja
---
# japanese-large-lm-1.7b
This repository provides a 1.7B parameters Japanese language model, trained by [LINE Corporation](https://linecorp.com/ja/).
[Tech Blog](https://engineering.linecorp.com/ja/blog/3.6-billion-parameter-japan... | 2,435 | [
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0.0115... |
timm/efficientnet_el_pruned.in1k | 2023-04-27T21:11:59.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.02838",
"arxiv:1905.11946",
"arxiv:2002.08258",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_el_pruned.in1k | 0 | 910 | timm | 2022-12-12T23:57:50 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_el_pruned.in1k
A EfficientNet-EdgeTPU image classification model. Knapsack pruned from existing weights.
## Model Details
- **Model Type:** Image classification / feature backbone
... | 4,590 | [
[
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-0.040924072265625,
-0.0018243789672851562,
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0.0198211669921875,
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-0.037200927734375,
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... |
timm/convnext_xxlarge.clip_laion2b_soup_ft_in1k | 2023-03-31T23:03:06.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:laion-2b",
"arxiv:2210.08402",
"arxiv:2201.03545",
"arxiv:2103.00020",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_xxlarge.clip_laion2b_soup_ft_in1k | 1 | 910 | timm | 2023-03-31T22:51:41 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- laion-2b
---
# Model card for convnext_xxlarge.clip_laion2b_soup_ft_in1k
A ConvNeXt image classification model. CLIP image tower weights pretrained in [OpenCLIP](https://github.com/mlfoundations/open_clip) on LAION ... | 18,504 | [
[
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0.057403564453125,
0.0176849365234375,
-0.04132080078125,
-0.043853759765625,
-0.054168701171875,... |
TheBloke/wizardLM-7B-GPTQ | 2023-08-21T13:07:17.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/wizardLM-7B-GPTQ | 104 | 910 | transformers | 2023-04-26T08:12:20 | ---
inference: false
license: other
model_type: llama
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: ... | 10,667 | [
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0.00... |
mmaaz60/LLaVA-7B-Lightening-v1-1 | 2023-06-07T21:45:12.000Z | [
"transformers",
"pytorch",
"llava",
"text-generation",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | text-generation | mmaaz60 | null | null | mmaaz60/LLaVA-7B-Lightening-v1-1 | 2 | 910 | transformers | 2023-06-07T12:52:16 | ---
license: cc-by-4.0
---
This model is obtained by applying LLaVA-7B-Lightening-v1-1 delta from [liuhaotian/LLaVA-Lightning-7B-delta-v1-1](liuhaotian/LLaVA-Lightning-7B-delta-v1-1) to LLaMA-7B model. | 201 | [
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timm/efficientvit_m0.r224_in1k | 2023-08-18T23:21:27.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2305.07027",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/efficientvit_m0.r224_in1k | 0 | 909 | timm | 2023-08-18T23:21:24 | ---
tags:
- image-classification
- timm
library_name: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for efficientvit_m0.r224_in1k
An EfficientViT (MSRA) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | 3,763 | [
[
-0.031036376953125,
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-0.0... |
nghuyong/ernie-3.0-nano-zh | 2022-09-10T09:02:42.000Z | [
"transformers",
"pytorch",
"ernie",
"feature-extraction",
"zh",
"arxiv:2107.02137",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | nghuyong | null | null | nghuyong/ernie-3.0-nano-zh | 21 | 906 | transformers | 2022-08-22T09:39:34 | ---
language: zh
---
# ERNIE-3.0-nano-zh
## Introduction
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
More detail: https://arxiv.org/abs/2107.02137
## Released Model Info
This released pytorch model is converted from the officially released PaddlePaddle ERNIE mod... | 1,225 | [
[
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-0.04852294921875,
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DiamondYin/Wall-E-01-robot-heywhale | 2023-01-15T16:58:31.000Z | [
"diffusers",
"pytorch",
"stable-diffusion",
"text-to-image",
"diffusion-models-class",
"dreambooth-hackathon",
"wildcard",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | DiamondYin | null | null | DiamondYin/Wall-E-01-robot-heywhale | 3 | 906 | diffusers | 2023-01-15T15:24:01 | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- wildcard
widget:
- text: In space, there is a spaceship docked here, and Wall-E-01 walks in the spaceship,8K
resolution, 16:9
---
# DreamBooth model for the Wall-E-01 ... | 4,253 | [
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-0.0266265869140625,
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timm/twins_pcpvt_large.in1k | 2023-04-23T23:22:46.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2104.13840",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/twins_pcpvt_large.in1k | 0 | 905 | timm | 2023-04-23T23:21:47 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for twins_pcpvt_large.in1k
A Twins-PCPVT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Sta... | 2,844 | [
[
-0.0399169921875,
-0.033660888671875,
0.00545501708984375,
0.028839111328125,
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0.032318115234375,
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s-nlp/ruT5-base-detox | 2023-09-08T08:57:14.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"text-generation-inference",
"ru",
"dataset:s-nlp/ru_paradetox",
"license:openrail++",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | s-nlp | null | null | s-nlp/ruT5-base-detox | 5 | 904 | transformers | 2022-03-02T23:29:05 | ---
license: openrail++
language:
- ru
tags:
- text-generation-inference
datasets:
- s-nlp/ru_paradetox
---
This is the detoxification baseline model trained on the [train](https://github.com/skoltech-nlp/russe_detox_2022/blob/main/data/input/train.tsv) part of "RUSSE 2022: Russian Text Detoxification Based on Parallel... | 844 | [
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0.018768310546875,
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-0.043212890625,
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lincoln/mbart-mlsum-automatic-summarization | 2021-09-07T08:21:55.000Z | [
"transformers",
"pytorch",
"tf",
"mbart",
"text2text-generation",
"summarization",
"bart",
"fr",
"dataset:MLSUM",
"arxiv:2004.14900",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | summarization | lincoln | null | null | lincoln/mbart-mlsum-automatic-summarization | 4 | 904 | transformers | 2022-03-02T23:29:05 | ---
language:
- fr
license: mit
datasets:
- MLSUM
pipeline_tag: "summarization"
widget:
- text: « La veille de l’ouverture, je vais faire venir un coach pour les salariés qui reprendront le travail. Cela va me coûter 300 euros, mais après des mois d’oisiveté obligatoire, la reprise n’est pas simple. Certains sont ... | 4,856 | [
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0.0210113525390625,
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neulab/codebert-javascript | 2023-02-27T20:56:02.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"arxiv:2302.05527",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | neulab | null | null | neulab/codebert-javascript | 7 | 904 | transformers | 2022-09-23T15:19:35 | This is a `microsoft/codebert-base-mlm` model, trained for 1,000,000 steps (with `batch_size=32`) on **JavaScript** code from the `codeparrot/github-code-clean` dataset, on the masked-language-modeling task.
It is intended to be used in CodeBERTScore: [https://github.com/neulab/code-bert-score](https://github.com/neu... | 857 | [
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usman7071/my-car-model | 2023-10-18T06:43:23.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | usman7071 | null | null | usman7071/my-car-model | 0 | 904 | diffusers | 2023-10-18T06:37:52 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### my-car-model Dreambooth model trained by usman7071 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
 and our [preprint](https://www.biorxiv.org/content/10.1101/2021.11.18.469186v1) for more information.
This model is on:
- Masked language modeling (masked amino acid or MAA modeling)
- Classification across antigen labels from PIRD
... | 600 | [
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dcferreira/detoxify-optimized | 2023-05-19T17:35:13.000Z | [
"transformers",
"onnx",
"xlm-roberta",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | dcferreira | null | null | dcferreira/detoxify-optimized | 1 | 903 | transformers | 2023-05-19T11:27:06 | ---
license: apache-2.0
---
This repo has an optimized version of [Detoxify](https://github.com/unitaryai/detoxify/), which needs less disk space and less memory at the cost of just a little bit of accuracy.
This is an experiment for me to learn how to use [🤗 Optimum](https://huggingface.co/docs/optimum/index).
# U... | 1,971 | [
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-0.037170410156... |
budecosystem/genz-13b-v2-4bit | 2023-07-26T17:05:28.000Z | [
"transformers",
"llama",
"text-generation",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | budecosystem | null | null | budecosystem/genz-13b-v2-4bit | 0 | 903 | transformers | 2023-07-26T15:47:21 | ---
language:
- en
library_name: transformers
pipeline_tag: text-generation
---
# GenZ 13B v2 4bit
The instruction finetuned model with 4K input length. The model is finetuned on top of pretrained LLaMa2
## Inference
```python
from transformers import LlamaForCausalLM, LlamaTokenizer
from auto_gptq import AutoGPTQ... | 1,504 | [
[
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0.024627685546875,
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-0.04290771484375,
... |
samrawal/bert-large-uncased_med-ner | 2022-05-28T15:56:42.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"token-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | samrawal | null | null | samrawal/bert-large-uncased_med-ner | 7 | 902 | transformers | 2022-03-02T23:29:05 | A Named Entity Recognition model for medication entities (`medication name`, `dosage`, `duration`, `frequency`, `reason`).
The model has been trained on the i2b2 (now n2c2) dataset for the 2009 - Medication task. Please visit the n2c2 site to request access to the dataset. | 274 | [
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0.0263671875,
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... |
timm/tf_mixnet_m.in1k | 2023-04-27T21:50:09.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1907.09595",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_mixnet_m.in1k | 0 | 902 | timm | 2022-12-13T00:21:43 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_mixnet_m.in1k
A MixNet image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image classif... | 3,939 | [
[
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quantumaikr/KoreanLM-3B | 2023-09-02T12:55:53.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"korean",
"foundation",
"ko",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | quantumaikr | null | null | quantumaikr/KoreanLM-3B | 0 | 901 | transformers | 2023-08-21T09:02:18 | ---
language:
- ko
- en
pipeline_tag: text-generation
tags:
- llama
- korean
- foundation
---
<p align="center" width="100%">
<img src="https://i.imgur.com/snFDU0P.png" alt="KoreanLM icon" style="width: 500px; display: block; margin: auto; border-radius: 10%;">
</p>
# KoreanLM: 한국어 언어모델 프로젝트
KoreanLM은 한국어 언어모델을 개발... | 1,129 | [
[
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0.0112... |
SargeZT/controlnet-sd-xl-1.0-depth-16bit-zoe | 2023-08-14T19:09:42.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"controlnet",
"license:creativeml-openrail-m",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | text-to-image | SargeZT | null | null | SargeZT/controlnet-sd-xl-1.0-depth-16bit-zoe | 16 | 900 | diffusers | 2023-08-13T19:14:13 |
---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- controlnet
inference: true
---
# controlnet-SargeZT/controlnet-sd-xl-1.0-depth-16bit-zoe
These are controlnet weights trained on stabil... | 1,421 | [
[
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0.035400390625,
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... |
TinyLlama/tinyLlama-intermediate-checkpoints | 2023-09-28T14:53:27.000Z | [
"transformers",
"llama",
"text-generation",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | TinyLlama | null | null | TinyLlama/tinyLlama-intermediate-checkpoints | 10 | 900 | transformers | 2023-09-28T14:27:51 | ---
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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-0.0296478271484375,
-0.03607177734375,
-0... |
dblasko/blip-dalle3-img2prompt | 2023-10-15T08:45:12.000Z | [
"transformers",
"pytorch",
"blip",
"text2text-generation",
"art",
"image-to-text",
"image-captioning",
"en",
"dataset:laion/dalle-3-dataset",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | dblasko | null | null | dblasko/blip-dalle3-img2prompt | 16 | 900 | transformers | 2023-10-13T16:57:18 | ---
datasets:
- laion/dalle-3-dataset
language:
- en
tags:
- art
- image-to-text
- image-captioning
---
# DALL·E 3 Image prompt reverse-engineering
Pre-trained image-captioning model BLIP fine-tuned on a mixture of `laion/dalle-3-dataset` and semi-automatically gathered `(image, prompt)` data from DALLE·E 3.
It take... | 1,600 | [
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0.040985107421875,
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0... |
facebook/wav2vec2-large | 2022-08-26T21:31:10.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"pretraining",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2006.11477",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | facebook | null | null | facebook/wav2vec2-large | 0 | 898 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# Wav2Vec2-Large
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speec... | 1,833 | [
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nghuyong/ernie-health-zh | 2022-09-10T09:13:33.000Z | [
"transformers",
"pytorch",
"ernie",
"feature-extraction",
"zh",
"arxiv:2110.07244",
"endpoints_compatible",
"region:us"
] | feature-extraction | nghuyong | null | null | nghuyong/ernie-health-zh | 9 | 898 | transformers | 2022-05-31T08:43:33 | ---
language: zh
---
# ernie-health-zh
## Introduction
ERNIE-health is a Chinese biomedical language model pre-trained from in-domain text of de-identified online doctor-patient dialogues, electronic medical records, and textbooks.
More detail:
https://github.com/PaddlePaddle/PaddleNLP/blob/develop/model_zoo/ernie-... | 1,412 | [
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TheBloke/WizardCoder-Python-7B-V1.0-GPTQ | 2023-09-27T12:49:35.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"code",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"arxiv:2303.08774",
"license:llama2",
"model-index",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/WizardCoder-Python-7B-V1.0-GPTQ | 6 | 898 | transformers | 2023-09-16T14:45:16 | ---
license: llama2
library_name: transformers
tags:
- code
metrics:
- code_eval
base_model: WizardLM/WizardCoder-Python-7b-V1.0
inference: false
model_creator: WizardLM
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Write a response
that appropriately completes the request.
##... | 23,426 | [
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TheBloke/zephyr-7B-alpha-GGUF | 2023-10-14T07:12:10.000Z | [
"transformers",
"mistral",
"generated_from_trainer",
"en",
"dataset:stingning/ultrachat",
"dataset:openbmb/UltraFeedback",
"arxiv:2305.18290",
"license:mit",
"has_space",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/zephyr-7B-alpha-GGUF | 124 | 898 | transformers | 2023-10-11T03:26:12 | ---
base_model: HuggingFaceH4/zephyr-7b-alpha
datasets:
- stingning/ultrachat
- openbmb/UltraFeedback
inference: false
language:
- en
license: mit
model-index:
- name: zephyr-7b-alpha
results: []
model_creator: Hugging Face H4
model_name: Zephyr 7B Alpha
model_type: mistral
prompt_template: '<|system|>
</s>
<|u... | 25,721 | [
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-0.00... |
Revanthraja/Fashion | 2023-10-22T09:10:29.000Z | [
"diffusers",
"tensorboard",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Revanthraja | null | null | Revanthraja/Fashion | 1 | 898 | diffusers | 2023-10-22T07:13:51 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### dress_style_v1 Dreambooth model trained by Revanthraja M with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook for ... | 489 | [
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UCSC-VLAA/ViT-H-14-CLIPA-336-datacomp1B | 2023-10-17T06:25:50.000Z | [
"open_clip",
"clip",
"zero-shot-image-classification",
"dataset:mlfoundations/datacomp_1b",
"arxiv:2306.15658",
"arxiv:2305.07017",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | UCSC-VLAA | null | null | UCSC-VLAA/ViT-H-14-CLIPA-336-datacomp1B | 1 | 897 | open_clip | 2023-10-17T06:14:09 | ---
tags:
- clip
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: apache-2.0
datasets:
- mlfoundations/datacomp_1b
---
# Model card for ViT-H-14-CLIPA-336-datacomp1B
A CLIPA-v2 model...
## Model Details
- **Model Type:** Contrastive Image-Text, Zero-Shot Image Classification.
- **Original... | 2,222 | [
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google/switch-base-128 | 2023-01-24T17:20:02.000Z | [
"transformers",
"pytorch",
"switch_transformers",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2101.03961",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | google | null | null | google/switch-base-128 | 3 | 896 | transformers | 2022-11-04T07:59:22 | ---
language:
- en
tags:
- text2text-generation
widget:
- text: "The <extra_id_0> walks in <extra_id_1> park"
example_title: "Masked Language Modeling"
datasets:
- c4
license: apache-2.0
---
# Model Card for Switch Transformers Base - 128 experts
 ... | 18,526 | [
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openai/shap-e-img2img | 2023-07-20T16:02:43.000Z | [
"diffusers",
"image-to-image",
"text-to-3d",
"shap-e",
"arxiv:2305.02463",
"license:mit",
"has_space",
"diffusers:ShapEImg2ImgPipeline",
"region:us"
] | image-to-image | openai | null | null | openai/shap-e-img2img | 16 | 894 | diffusers | 2023-07-04T13:25:57 | ---
license: mit
tags:
- image-to-image
- text-to-3d
- diffusers
- shap-e
---
# Shap-E
Shap-E introduces a diffusion process that can generate a 3D image from a text prompt. It was introduced in [Shap-E: Generating Conditional 3D Implicit Functions](https://arxiv.org/abs/2305.02463) by Heewoo Jun and Alex Nichol fro... | 4,295 | [
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slymnyldrm/dreambooth_usecase_weights | 2023-09-26T22:38:30.000Z | [
"diffusers",
"tensorboard",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dreambooth",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | slymnyldrm | null | null | slymnyldrm/dreambooth_usecase_weights | 0 | 894 | diffusers | 2023-09-26T20:30:22 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: photo of suleyman_person person
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- dreambooth
inference: true
---
# DreamBooth - slymnyldrm/dreambooth_usecase_weights
This is a dreamboo... | 591 | [
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TheBloke/Xwin-LM-13B-v0.2-GPTQ | 2023-10-15T01:34:45.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Xwin-LM-13B-v0.2-GPTQ | 5 | 894 | transformers | 2023-10-15T00:54:13 | ---
base_model: Xwin-LM/Xwin-LM-13B-V0.2
inference: false
license: llama2
model_creator: Xwin-LM
model_name: Xwin LM 13B v0.2
model_type: llama
prompt_template: 'A chat between a curious user and an artificial intelligence assistant.
The assistant gives helpful, detailed, and polite answers to the user''s questions.
... | 29,843 | [
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touch20032003/xuyuan-trial-sentiment-bert-chinese | 2023-05-16T09:18:37.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | touch20032003 | null | null | touch20032003/xuyuan-trial-sentiment-bert-chinese | 6 | 893 | transformers | 2023-04-28T05:36:41 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: xuyuan-trial-sentiment-bert-chinese
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. -->
#... | 1,173 | [
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-0... |
Helsinki-NLP/opus-mt-sv-fi | 2023-08-16T12:05:05.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sv",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-sv-fi | 0 | 891 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-fi
* source languages: sv
* target languages: fi
* OPUS readme: [sv-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-fi/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* do... | 881 | [
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0.01... |
timm/tf_mixnet_s.in1k | 2023-04-27T21:50:14.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1907.09595",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_mixnet_s.in1k | 0 | 891 | timm | 2022-12-13T00:21:51 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_mixnet_s.in1k
A MixNet image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image classif... | 3,939 | [
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Lykon/absolute-realism-1.6525-inpainting | 2023-08-27T16:06:14.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"inpainting",
"art",
"artistic",
"anime",
"absolute-realism",
"en",
"license:creativeml-openrail-m",
"diffusers:StableDiffusionInpaintPipeline",
"region:us"
] | null | Lykon | null | null | Lykon/absolute-realism-1.6525-inpainting | 1 | 891 | diffusers | 2023-08-27T16:06:14 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- inpainting
- art
- artistic
- diffusers
- anime
- absolute-realism
duplicated_from: lykon-absolute-realism/absolute-realism-1.6525-inpainting
---
# Absolute realism 1.6525 inpainting
`lykon-absolute-realism/absol... | 1,879 | [
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SeyedAli/Musical-genres-Classification-Hubert-V1 | 2023-09-25T12:48:02.000Z | [
"transformers",
"pytorch",
"hubert",
"audio-classification",
"generated_from_trainer",
"dataset:marsyas/gtzan",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | SeyedAli | null | null | SeyedAli/Musical-genres-Classification-Hubert-V1 | 3 | 891 | transformers | 2023-09-25T06:48:00 | ---
license: apache-2.0
base_model: ntu-spml/distilhubert
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
model-index:
- name: SeyedAli/Musical-genres-Classification-Hubert-V1
results:
- task:
name: Audio Classification
type: audio-classification
dataset:
name: GTZ... | 2,301 | [
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valhalla/t5-small-qa-qg-hl | 2021-06-23T14:42:41.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"question-generation",
"dataset:squad",
"arxiv:1910.10683",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | valhalla | null | null | valhalla/t5-small-qa-qg-hl | 12 | 890 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- squad
tags:
- question-generation
widget:
- text: "generate question: <hl> 42 <hl> is the answer to life, the universe and everything. </s>"
- text: "question: What is 42 context: 42 is the answer to life, the universe and everything. </s>"
license: mit
---
## T5 for multi-task QA and QG
This is multi-... | 1,867 | [
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Fictiverse/Stable_Diffusion_BalloonArt_Model | 2023-05-07T08:22:48.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Fictiverse | null | null | Fictiverse/Stable_Diffusion_BalloonArt_Model | 76 | 890 | diffusers | 2022-11-16T00:54:36 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
# Balloon Art model V1
This is the fine-tuned Stable Diffusion model trained on Twisted Balloon images.
Use **BalloonArt** in your prompts.
### Sample images:
 in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | 4,547 | [
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timm/tf_efficientnet_lite4.in1k | 2023-04-27T21:38:39.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_lite4.in1k | 0 | 890 | timm | 2022-12-13T00:14:01 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_lite4.in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | 4,093 | [
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timm/seresnext101_32x4d.gluon_in1k | 2023-04-05T19:35:07.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1611.05431",
"arxiv:1512.03385",
"arxiv:1709.01507",
"arxiv:1812.01187",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/seresnext101_32x4d.gluon_in1k | 0 | 890 | timm | 2023-04-05T19:34:14 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for seresnext101_32x4d.gluon_in1k
A SE-ResNeXt-B image classification model with Squeeze-and-Excitation channel attention.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolu... | 39,180 | [
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smp111/terrain_recognition | 2023-10-17T18:36:19.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | smp111 | null | null | smp111/terrain_recognition | 0 | 890 | transformers | 2023-10-17T18:36:13 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: terrain_recognition
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8777777552604675
---
# terrain_recogn... | 821 | [
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-0.053558349609375,
-0.01100921630... |
WillHeld/roberta-base-rte | 2022-09-18T01:30:13.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | WillHeld | null | null | WillHeld/roberta-base-rte | 0 | 889 | transformers | 2022-09-18T01:22:21 | ---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: roberta-base-rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE RTE
type: glue
args: rte
metrics:
- name: Accur... | 1,722 | [
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timm/maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k | 2023-05-11T00:18:46.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2204.01697",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k | 0 | 889 | timm | 2023-01-20T21:33:19 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k
A timm specific MaxViT (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model... | 22,503 | [
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-0.... |
Helsinki-NLP/opus-mt-fi-sv | 2023-08-16T11:35:32.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fi",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-fi-sv | 0 | 886 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-sv
* source languages: fi
* target languages: sv
* OPUS readme: [fi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sv/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* do... | 881 | [
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0.017... |
SriramSridhar78/sriram-car-classifier | 2023-03-21T12:14:20.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | SriramSridhar78 | null | null | SriramSridhar78/sriram-car-classifier | 4 | 886 | transformers | 2022-03-02T23:29:05 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: sriram-car-classifier
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8271908164024353
---
# sriram-car-c... | 21,333 | [
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microsoft/unispeech-sat-base-100h-libri-ft | 2021-11-04T15:26:40.000Z | [
"transformers",
"pytorch",
"unispeech-sat",
"automatic-speech-recognition",
"audio",
"en",
"dataset:librispeech_asr",
"arxiv:2110.05752",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | microsoft | null | null | microsoft/unispeech-sat-base-100h-libri-ft | 3 | 886 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- audio
- automatic-speech-recognition
license: apache-2.0
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/sam... | 3,859 | [
[
-0.021636962890625,
-0.0357666015625,
0.01183319091796875,
0.0180816650390625,
-0.027587890625,
0.0010175704956054688,
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0.03851318359375,
-0.029998779296875,
-0.033447265625,
-0.02911376953125,
... |
Jinouga/haruno-sakura-boruto-v4 | 2023-07-20T11:43:54.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Jinouga | null | null | Jinouga/haruno-sakura-boruto-v4 | 1 | 886 | diffusers | 2023-06-20T17:44:33 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### haruno-sakura[Boruto]V4 Dreambooth model trained by Jinouga with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A... | 512 | [
[
-0.0240936279296875,
-0.048187255859375,
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0.031463623046875,
-0.0245819091796875,
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0.0196990966796875,
-0.0201416015625,
0.04962158203125,
0.0166473388671875,
-0.018157958984375,
-0.01056671142578125,
-0.0288848876953125,
... |
maywell/Synatra-7B-v0.3-base | 2023-10-29T11:17:06.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | maywell | null | null | maywell/Synatra-7B-v0.3-base | 4 | 886 | transformers | 2023-10-28T00:56:03 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
# **Synatra-7B-v0.3-base🐧**

## Support Me
시나트라는 개인 프로젝트로, 1인의 자원으로 개발되고 있습니다. 모델이 마음에 드셨다면 약간의 연구비 지원은 어떨까요?
[<img src="https://cdn.buymeacoffee.com/buttons/default-oran... | 2,224 | [
[
-0.021881103515625,
-0.05743408203125,
0.0034656524658203125,
0.037261962890625,
-0.03955078125,
-0.0325927734375,
-0.0134735107421875,
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0.031768798828125,
0.02362060546875,
-0.037200927734375,
-0.04083251953125,
-0.053741455078125,
-0.004... |
w11wo/wav2vec2-xls-r-300m-korean | 2023-05-16T04:58:04.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"ko",
"dataset:kresnik/zeroth_korean",
"arxiv:2111.09296",
"license:apache-2.0",
"model-index",
"endpoints_compatibl... | automatic-speech-recognition | w11wo | null | null | w11wo/wav2vec2-xls-r-300m-korean | 6 | 885 | transformers | 2022-03-02T23:29:05 | ---
language: ko
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- robust-speech-event
datasets:
- kresnik/zeroth_korean
model-index:
- name: Wav2Vec2 XLS-R 300M Korean
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recog... | 8,592 | [
[
-0.0472412109375,
-0.037811279296875,
0.0203857421875,
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0.0237579345703125,
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-0.04705810546875,
-0.045867919921875,
... |
timm/tf_efficientnet_b2.aa_in1k | 2023-04-27T21:17:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1805.09501",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b2.aa_in1k | 0 | 885 | timm | 2022-12-13T00:02:08 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b2.aa_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with auto-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | 4,489 | [
[
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-0.042388916015625,
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0.00710296630859375,
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0.0131683349609375,
0.024444580078125,
-0.028778076171875,
-0.04248046875,
-0.056549072265625,
-0... |
4bit/Llama-2-7b-chat-hf | 2023-07-19T03:07:36.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | 4bit | null | null | 4bit/Llama-2-7b-chat-hf | 8 | 884 | transformers | 2023-07-19T03:00:23 | ---
extra_gated_heading: Access Llama 2 on Hugging Face
extra_gated_description: >-
This is a form to enable access to Llama 2 on Hugging Face after you have been
granted access from Meta. Please visit the [Meta website](https://ai.meta.com/resources/models-and-libraries/llama-downloads) and accept our
license te... | 10,294 | [
[
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-0.052734375,
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-0.0033168792724609375,
-0.056182861328125,
0.004383087158203125,
0.0236358642578125,
-0.052581787109375,
-0.0430908203125,
-0.050140380859375,
... |
TheBloke/airoboros-mistral2.2-7B-GPTQ | 2023-10-04T19:15:20.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"llama-2",
"instruct",
"finetune",
"alpaca",
"gpt4",
"synthetic data",
"distillation",
"en",
"dataset:jondurbin/airoboros-2.2.1",
"license:mit",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/airoboros-mistral2.2-7B-GPTQ | 4 | 884 | transformers | 2023-10-03T21:52:41 | ---
base_model: teknium/airoboros-mistral2.2-7b
datasets:
- jondurbin/airoboros-2.2.1
inference: false
language:
- en
license: mit
model-index:
- name: airoboros2.2-mistral-7b
results: []
model_creator: Teknium
model_name: Airoboros Mistral2.2 7B
model_type: mistral
prompt_template: 'USER: {prompt}
ASSISTANT:
'... | 19,579 | [
[
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0.0083160400390625,
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0.003871917724609375,
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0.019439697265625,
0.021453857421875,
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-0.034698486328125,
-0.028594970703125,
... |
Kwan0/layoutlmv3-base-finetune-DocLayNet-100k | 2023-10-14T13:46:16.000Z | [
"transformers",
"pytorch",
"layoutlmv3",
"token-classification",
"generated_from_trainer",
"dataset:pierreguillou/DocLayNet-large",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Kwan0 | null | null | Kwan0/layoutlmv3-base-finetune-DocLayNet-100k | 1 | 884 | transformers | 2023-10-05T03:24:24 | ---
tags:
- generated_from_trainer
datasets:
- pierreguillou/DocLayNet-large
metrics:
- precision
- recall
- f1
- accuracy
base_model: microsoft/layoutlmv3-base
model-index:
- name: layoutlmv3-finetuned-doclaynet
results:
- task:
type: token-classification
name: Token Classification
dataset:
n... | 1,600 | [
[
-0.033172607421875,
-0.045440673828125,
0.027557373046875,
0.027557373046875,
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0.01068115234375,
0.0104217529296875,
0.015289306640625,
0.0440673828125,
-0.05657958984375,
-0.0506591796875,
-0.0198516845703125,
-0.02778... |
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