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huggingtweets/o_strunz | 16607e9f8e61e684ff9764283a8c0abab075440b | 2022-07-01T21:57:48.000Z | [
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language: en
thumbnail: http://www.huggingtweets.com/o_strunz/1656712663617/predictions.png
tags:
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widget:
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---
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jdeboever/xlm-roberta-base-finetuned-panx-de | 788128771a069512052def7f2e6ce02631105cdf | 2022-07-02T02:05:26.000Z | [
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license: mit
tags:
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model-index:
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huggingtweets/pldroneoperator-superpiss | 8c8afa7db3ed6ec08a9c68d2b9d5879f56954a6e | 2022-07-02T06:21:02.000Z | [
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thumbnail: http://www.huggingtweets.com/pldroneoperator-superpiss/1656742858038/predictions.png
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gaunernst/bert-L2-H256-uncased | d44a2b538f42e05e72be36fd6139dcc88dba1d97 | 2022-07-02T08:09:26.000Z | [
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gaunernst/bert-L6-H768-uncased | 92b543d7caeed13f47358448eac3c4cd6650acf3 | 2022-07-02T08:26:39.000Z | [
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gaunernst/bert-L10-H128-uncased | 88372cf07803f662df3165b37e63a3413b631e93 | 2022-07-02T08:42:07.000Z | [
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---
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gaunernst/bert-L12-H512-uncased | f6c8e79ecffa6ec5bf68f0adc17fe8a66103720e | 2022-07-02T08:55:43.000Z | [
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license: apache-2.0
---
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jdang/xlm-roberta-base-finetuned-panx-de | c24b3019522a4d151b5c74e0f8a243748253fc60 | 2022-07-03T14:37:39.000Z | [
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license: mit
tags:
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datasets:
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metrics:
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model-index:
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results:
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args: PAN-X.de
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jdang/xlm-roberta-base-finetuned-panx-de-fr | 7ed48dd458c9c178ca6e882c96e53ea7c6e47645 | 2022-07-02T16:40:04.000Z | [
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license: mit
tags:
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metrics:
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---
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tner/roberta-large-tweetner-selflabel2020 | 2d662e4368e11b3194b33864633d1384a0495f17 | 2022-07-02T19:14:34.000Z | [
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tner/roberta-large-tweetner-2020-selflabel2021-concat | 5884ac382ea1df9c52a57b7ba633c0b25fa18270 | 2022-07-02T19:19:21.000Z | [
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tner/roberta-large-tweetner-2020-selflabel2020-continuous | c5a5024d26224064f9500e52e4c5e10f10d2e78e | 2022-07-02T19:23:35.000Z | [
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tner/roberta-large-tweetner-2020-selflabel2021-continuous | 0d4a771964856d0ad803933d12852fecfd5e79ad | 2022-07-02T19:23:48.000Z | [
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xzhang/distilgpt2-finetuned-wikitext2 | 1b1c36c20899b917657856262833c673c7fdb437 | 2022-07-03T18:48:46.000Z | [
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license: apache-2.0
tags:
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model-index:
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---
<!-- 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. -->
# dist... | [
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Li-Tang/test_model | 9312795e328350594047dec6b108ec8f16c5206b | 2022-07-13T07:43:08.000Z | [
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license: apache-2.0
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BlinkDL/rwkv-3-pile-169m | e1d36bf249b6acdb97a86ed1283a9e433358c907 | 2022-07-20T01:50:57.000Z | [
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] | text-generation | false | BlinkDL | null | BlinkDL/rwkv-3-pile-169m | 0 | 1 | null | ---
language:
- en
tags:
- pytorch
- text-generation
- causal-lm
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license: bsd-2-clause
datasets:
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---
# RWKV-3 169M
## Model Description
RWKV-3 169M is a L12-D768 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.
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samayl24/test-cifar-10 | 5a1e06f22ffc401b07ed07ae103ca717695128e4 | 2022-07-06T17:34:36.000Z | [
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loicmagne/pr_dataset_metadata | 6495d76b2f8681d1fa7b1d00056d6101d9438da9 | 2022-07-07T19:06:41.000Z | [
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"model-index"
] | null | false | loicmagne | null | loicmagne/pr_dataset_metadata | 0 | null | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: pr_dataset_metadata
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split: test
args: ... | [
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nateraw/yolov6n | 1c1f377c2300c7dec9cac72548bb532155e2c7c6 | 2022-07-12T02:01:10.000Z | [
"en",
"arxiv:1910.09700",
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] | object-detection | false | nateraw | null | nateraw/yolov6n | 0 | null | pytorch | ---
language: en
license: gpl-3.0
library_name: pytorch
tags:
- object-detection
- yolo
- autogenerated-modelcard
model_name: yolov6n
---
# Model Card for yolov6n
<!-- Provide a quick summary of what the model is/does. -->
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Bias, Risks, and... | [
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nateraw/yolov6s | 7d80ec834b4117d1af91266506bdc9ec488e8632 | 2022-07-12T02:01:18.000Z | [
"en",
"arxiv:1910.09700",
"pytorch",
"object-detection",
"yolo",
"autogenerated-modelcard",
"license:gpl-3.0"
] | object-detection | false | nateraw | null | nateraw/yolov6s | 0 | null | pytorch | ---
language: en
license: gpl-3.0
library_name: pytorch
tags:
- object-detection
- yolo
- autogenerated-modelcard
model_name: yolov6s
---
# Model Card for yolov6s
<!-- Provide a quick summary of what the model is/does. -->
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Bias, Risks, and... | [
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nateraw/yolov6t | ee7378eb5023cdd334003dff505d8ee18ea608cb | 2022-07-12T02:01:04.000Z | [
"en",
"arxiv:1910.09700",
"pytorch",
"object-detection",
"yolo",
"autogenerated-modelcard",
"license:gpl-3.0"
] | object-detection | false | nateraw | null | nateraw/yolov6t | 0 | null | pytorch | ---
language: en
license: gpl-3.0
library_name: pytorch
tags:
- object-detection
- yolo
- autogenerated-modelcard
model_name: yolov6t
---
# Model Card for yolov6t
<!-- Provide a quick summary of what the model is/does. -->
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Bias, Risks, and... | [
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Nitika/distilbert-base-uncased-finetuned-squad-d5716d28 | 6aa88e71e3070a2c66fcb071a2f5369717292139 | 2022-07-08T16:36:38.000Z | [
"pytorch",
"en",
"dataset:squad",
"arxiv:1910.01108",
"question-answering",
"license:apache-2.0"
] | question-answering | false | Nitika | null | Nitika/distilbert-base-uncased-finetuned-squad-d5716d28 | 0 | null | null | ---
language:
- en
thumbnail: https://github.com/karanchahal/distiller/blob/master/distiller.jpg
tags:
- question-answering
license: apache-2.0
datasets:
- squad
metrics:
- squad
---
# DistilBERT with a second step of distillation
## Model description
This model replicates the "DistilBERT (D)" model from Table 2 of... | [
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bmichele/poetry-generation-nextline-mbart-gut-en-multi-75k | 9ee6f297c1f512718f86b237cc52aa69de22674d | 2022-07-08T23:46:02.000Z | [
"pytorch"
] | null | false | bmichele | null | bmichele/poetry-generation-nextline-mbart-gut-en-multi-75k | 0 | null | null | Entry not found | [
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maurya/clay__2__gc | 6c4950569aa8796adc9f01b440eec6ee0cb6510b | 2022-07-09T14:24:06.000Z | [
"pytorch"
] | null | false | maurya | null | maurya/clay__2__gc | 0 | null | null | Entry not found | [
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hugginglearners/fastai-style-transfer | d6f6735b37cf8684cdfa3fec88b56286c0d12bc4 | 2022-07-13T00:15:26.000Z | [
"fastai",
"pytorch",
"image-to-image"
] | image-to-image | false | hugginglearners | null | hugginglearners/fastai-style-transfer | 0 | 3 | fastai | ---
tags:
- fastai
- pytorch
- image-to-image
---
## Model description
This repo contains the trained model for Style transfer using vgg16 as the backbone.
Full credits go to [Nhu Hoang](https://www.linkedin.com/in/nhu-hoang/)
Motivation: Style transfer is an interesting task with an amazing outcome.
## Training an... | [
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nateraw/image-2-line-drawing | 37428caf161345535a4601b5abda150bd8b82d52 | 2022-07-11T01:10:30.000Z | [
"pytorch",
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] | null | false | nateraw | null | nateraw/image-2-line-drawing | 0 | null | null | ---
license: mit
---
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sejalchopra/brio-legal-data | cb55c48957b4de880b911f6ed5ec508fbad13d4b | 2022-07-12T19:38:42.000Z | [
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nickcpk/distilbert-base-uncased-finetuned-squad-d5716d28 | cbb2142419608f6588a395ea4f378a195b3d068b | 2022-07-13T09:51:40.000Z | [
"pytorch",
"en",
"dataset:squad",
"arxiv:1910.01108",
"question-answering",
"license:apache-2.0"
] | question-answering | false | nickcpk | null | nickcpk/distilbert-base-uncased-finetuned-squad-d5716d28 | 0 | null | null | ---
language:
- en
thumbnail: https://github.com/karanchahal/distiller/blob/master/distiller.jpg
tags:
- question-answering
license: apache-2.0
datasets:
- squad
metrics:
- squad
---
# DistilBERT with a second step of distillation
## Model description
This model replicates the "DistilBERT (D)" model from Table 2 of... | [
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rajnishrajput12/finber | d8985b84d9565eee18f7df8274c0bacad011f214 | 2022-07-14T10:40:20.000Z | [
"pytorch",
"license:other"
] | null | false | rajnishrajput12 | null | rajnishrajput12/finber | 0 | null | null | ---
license: other
---
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gossminn/pp-fcd-bert-base-multilingual-cased | 0c8dde8706d1c0a747a50aaa90a6109057138071 | 2022-07-15T06:55:42.000Z | [
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CompVis/ldm-celebahq-256 | 03978f22272a3c2502da709c3940e227c9714bdd | 2022-07-28T08:12:07.000Z | [
"diffusers",
"arxiv:2112.10752",
"pytorch",
"unconditional-image-generation",
"license:apache-2.0"
] | unconditional-image-generation | false | CompVis | null | CompVis/ldm-celebahq-256 | 0 | 6 | diffusers | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Latent Diffusion Models (LDM)
**Paper**: [High-Resolution Image Synthesis with Latent Diffusion Models](https://arxiv.org/abs/2112.10752)
**Abstract**:
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CompVis/ldm-text2im-large-256 | 9bd2b48d2d45e6deb6fb5a03eb2a601e4b95bd91 | 2022-07-28T08:11:31.000Z | [
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license: apache-2.0
tags:
- pytorch
- diffusers
- text-to-image
---
# High-Resolution Image Synthesis with Latent Diffusion Models (LDM)
**Paper**: [High-Resolution Image Synthesis with Latent Diffusion Models (LDM)s](https://arxiv.org/abs/2112.10752239)
**Abstract**:
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BlinkDL/rwkv-3-pile-430m | 23b0eb672c557631a651be8e49bb09a766201466 | 2022-07-22T11:17:06.000Z | [
"en",
"dataset:The Pile",
"pytorch",
"text-generation",
"causal-lm",
"rwkv",
"license:bsd-2-clause"
] | text-generation | false | BlinkDL | null | BlinkDL/rwkv-3-pile-430m | 0 | 2 | null | ---
language:
- en
tags:
- pytorch
- text-generation
- causal-lm
- rwkv
license: bsd-2-clause
datasets:
- The Pile
---
# RWKV-3 430M
## Model Description
RWKV-3 430M is a L24-D1024 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.
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miazhao/test | 62266320e588f4af4dd2f5c8e29c62308444885e | 2022-07-27T05:30:00.000Z | [
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kaisugi/BERTRanker_CiRec_ACL200 | 741cdedbd34a3b773d6d382041fbb06550fe5d65 | 2022-07-26T07:52:46.000Z | [
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kaisugi/BERTRanker_CiRec_ACL200_global | c1a785c834d5cadda7602cce93167e14c4270423 | 2022-07-26T08:49:07.000Z | [
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kaisugi/BERTRanker_CiRec_ACL600 | 2608f55dde4667111d728e37b85fc97f95329e81 | 2022-07-26T08:51:49.000Z | [
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kaisugi/BERTRanker_CiRec_ACL600_global | ab10001fe4b7f8892ab65e22524f67d3074b69ff | 2022-07-26T08:54:48.000Z | [
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kaisugi/BERTRanker_CiRec_RefSeer | 87b78b1062664ac793067fffa3c79839e8c5ff5d | 2022-07-26T10:50:59.000Z | [
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kaisugi/BERTRanker_CiRec_RefSeer_global | 22084da469321e8afdc59423983364bf5ad78bae | 2022-07-26T10:53:20.000Z | [
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-0.03682169318199158,
0.011261860840022564,
0.013094935566186905,
0.0019101888174191117,
-0.013979103416204453,
0.027092741802334785,
-0.015212527476251125,
0.017284274101257324,
-0.08189476281404495,
0.03817418962717056,
-0.... |
olemeyer/zero_shot_issue_classification_bart-large-16 | 8ea616276aa8dac370f0f4d296d4c13f51594a10 | 2022-07-26T14:00:41.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | olemeyer | null | olemeyer/zero_shot_issue_classification_bart-large-16 | 0 | null | transformers | Entry not found | [
0.0461147278547287,
-0.038838207721710205,
-0.01049656979739666,
-0.03682169318199158,
0.011261860840022564,
0.013094935566186905,
0.0019101888174191117,
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-0.015212527476251125,
0.017284274101257324,
-0.08189476281404495,
0.03817418962717056,
-0.... |
BlinkDL/rwkv-4-pile-169m | 2a4dd69a7600696bb7c5ba4c9f24765e0a2d5a3a | 2022-07-28T08:36:41.000Z | [
"en",
"dataset:The Pile",
"pytorch",
"text-generation",
"causal-lm",
"rwkv",
"license:bsd-2-clause"
] | text-generation | false | BlinkDL | null | BlinkDL/rwkv-4-pile-169m | 0 | 1 | null | ---
language:
- en
tags:
- pytorch
- text-generation
- causal-lm
- rwkv
license: bsd-2-clause
datasets:
- The Pile
---
# RWKV-4 169M
## Model Description
RWKV-4 169M is a L12-D768 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.
At this moment you have to use my Github... | [
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DouglasPontes/29jul | d3f7a7cf8e33f1b7bb82088d2a63a95fc0c5e9e5 | 2022-07-30T05:35:37.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | DouglasPontes | null | DouglasPontes/29jul | 0 | null | transformers | Entry not found | [
0.0461147278547287,
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0.017284274101257324,
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0.03817418962717056,
-0.... |
davidcechak/DNADebertaK8b | f8b8c9c1f6ced830b96945383cc58269672c32e9 | 2022-07-30T06:31:32.000Z | [
"pytorch",
"tensorboard",
"deberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | davidcechak | null | davidcechak/DNADebertaK8b | 0 | null | transformers | Entry not found | [
0.0461147278547287,
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0.011261860840022564,
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-0.015212527476251125,
0.017284274101257324,
-0.08189476281404495,
0.03817418962717056,
-0.... |
DrY/dummy-model | 0d0809eb3c179b5f1c51c3c3f254d06f69e4afa3 | 2022-07-30T06:03:39.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | DrY | null | DrY/dummy-model | null | null | transformers | Entry not found | [
0.0461147278547287,
-0.038838207721710205,
-0.01049656979739666,
-0.03682169318199158,
0.011261860840022564,
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0.0019101888174191117,
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-0.015212527476251125,
0.017284274101257324,
-0.08189476281404495,
0.03817418962717056,
-0.... |
mesolitica/t5-tiny-finetuned-noisy-en-ms | b05520dcbac799aaa5c0df4fe4272f8963fc8b47 | 2022-07-30T06:11:02.000Z | [
"pytorch",
"tf",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_keras_callback",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | mesolitica | null | mesolitica/t5-tiny-finetuned-noisy-en-ms | null | null | transformers | ---
tags:
- generated_from_keras_callback
model-index:
- name: t5-tiny-finetuned-noisy-en-ms
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# t5-tiny-finetuned-noisy-... | [
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-0.10905230045318604,
0.019950713962316513,
-0.07689999043941498,
-0.046243615448474884,
-0.0... |
fzwd6666/NLTbert | 7b158dbefd741abde2fb09277e18e78dab4016db | 2022-07-30T06:11:52.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | fzwd6666 | null | fzwd6666/NLTbert | null | null | transformers | Entry not found | [
0.0461147278547287,
-0.038838207721710205,
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0.011261860840022564,
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-0.015212527476251125,
0.017284274101257324,
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0.03817418962717056,
-0.... |
DrY/marian-finetuned-kde4-en-to-zh | d0cb17f484de1084f5a56dbcfdc543b8bc8bca56 | 2022-07-30T08:05:06.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"dataset:kde4",
"transformers",
"translation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | DrY | null | DrY/marian-finetuned-kde4-en-to-zh | null | null | transformers | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: marian-finetuned-kde4-en-to-zh
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: kde4
type: kde4
config: ... | [
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0.01583019271492958,
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0.05388020724058151,
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-0.08528909087181091,
0.03292343020439148,
-0.14603812992572784,
0.003247265936806798,
-0.... |
abdulmatinomotoso/t5_headline_generator_testing | 782d3d34e91593dfd8156a3dd42d268612a3af9f | 2022-07-30T07:59:01.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | abdulmatinomotoso | null | abdulmatinomotoso/t5_headline_generator_testing | null | null | transformers | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5_headline_generator_testing
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_he... | [
-0.0706297904253006,
0.01781020313501358,
0.019624484702944756,
0.04185689613223076,
0.07128811627626419,
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-0.08081076294183731,
0.021010547876358032,
-0.07262350618839264,
0.00439412659034133,
-0.0729... |
pete/distilbert-base-uncased-finetuned-emotion | 489ca4dfc89eb97e4629b50f5c6dfcf5fa33d406 | 2022-07-30T08:19:56.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | pete | null | pete/distilbert-base-uncased-finetuned-emotion | null | null | transformers | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
config: defau... | [
-0.0774441733956337,
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0.08080141246318817,
0.045639775693416595,
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0.008958667516708374,
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-0.13725440204143524,
0.02857062593102455,
-0.09814731776714325,
0.008104559034109116,
-0.... |
alex-apostolo/distilbert-base-uncased-finetuned-squad | c6cac3416e5564e1e0ab6bd9a3bfba25dbb5b198 | 2022-07-30T09:57:49.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | alex-apostolo | null | alex-apostolo/distilbert-base-uncased-finetuned-squad | null | null | transformers | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
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 remov... | [
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0.06474143266677856,
-0.04767942056059837,
0.00939598586410284,
-0.06239... |
mmmmmmd/setting_1 | 606397293aacab0a034263ef0f7cb9ff577ccb26 | 2022-07-30T08:59:18.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | mmmmmmd | null | mmmmmmd/setting_1 | null | null | transformers | Entry not found | [
0.0461147278547287,
-0.038838207721710205,
-0.01049656979739666,
-0.03682169318199158,
0.011261860840022564,
0.013094935566186905,
0.0019101888174191117,
-0.013979103416204453,
0.027092741802334785,
-0.015212527476251125,
0.017284274101257324,
-0.08189476281404495,
0.03817418962717056,
-0.... |
SummerChiam/pond_image_classification_10 | 492b1bad1623aad3c83fb78a8fbb6e207a8e6118 | 2022-07-30T08:57:50.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | SummerChiam | null | SummerChiam/pond_image_classification_10 | null | null | transformers | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: pond_image_classification_10
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9948979616165161
---
# pond_... | [
-0.09535461664199829,
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0.07428973913192749,
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-0.025138266384601593,
-0.15000605583190918,
-0.012492898851633072,
0.075... |
clefourrier/nystromformer-cf-artificial-balanced-max500-490000-1 | 876a7c9320e096d2658d510a9dcfa365fb06cfbe | 2022-07-30T09:01:58.000Z | [
"pytorch",
"graph_nystromformer",
"text-classification",
"transformers"
] | text-classification | false | clefourrier | null | clefourrier/nystromformer-cf-artificial-balanced-max500-490000-1 | null | null | transformers | Entry not found | [
0.0461147278547287,
-0.038838207721710205,
-0.01049656979739666,
-0.03682169318199158,
0.011261860840022564,
0.013094935566186905,
0.0019101888174191117,
-0.013979103416204453,
0.027092741802334785,
-0.015212527476251125,
0.017284274101257324,
-0.08189476281404495,
0.03817418962717056,
-0.... |
SummerChiam/rust_image_classification_2 | 41ffe762c74bdf1b51bb88cc1e481d6f591597fb | 2022-07-30T10:05:44.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | SummerChiam | null | SummerChiam/rust_image_classification_2 | null | null | transformers | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rust_image_classification_2
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.853164553642273
---
# rust_im... | [
-0.140705406665802,
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-0.08008026331663132,
0.025248926132917404,
0.0401... |
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