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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
rasvob/distilbert-base-uncased-finetuned-cola | 2023-05-02T13:18:48.000Z | [
"transformers",
"pytorch",
"tf",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | rasvob | null | null | rasvob/distilbert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-04-24T06:09:57 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: rasvob/distilbert-base-uncased-finetuned-cola
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 comm... | 1,941 | [
[
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0.0201873779296875,
0.002716064453125,
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-0.0679931640625,
... |
StivenLancheros/bert-base-arabert-BioNER-EN-AR | 2023-04-24T08:03:01.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"token-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | StivenLancheros | null | null | StivenLancheros/bert-base-arabert-BioNER-EN-AR | 0 | 2 | transformers | 2023-04-24T07:16:49 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-arabert-BioNER-EN-AR
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... | 3,321 | [
[
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0.0267333984375,
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... |
chinmayapani/t5-small-finetuned-multi-news-summerize | 2023-04-24T08:10:21.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | chinmayapani | null | null | chinmayapani/t5-small-finetuned-multi-news-summerize | 0 | 2 | transformers | 2023-04-24T08:00:48 | The following model is a Pytorch pre-trained model obtained from converting pytorch checkpoint found in the official t5-small.
This is the smallest pre-trained t5 variants, that can be used for multiple tasks. This model is trained on multi-news data for text summarization. | 275 | [
[
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Bersk/twhin-bert-base-finetuned-twhin-epoch | 2023-04-24T09:30:02.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Bersk | null | null | Bersk/twhin-bert-base-finetuned-twhin-epoch | 0 | 2 | transformers | 2023-04-24T08:58:08 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: twhin-bert-base-finetuned-twhin-epoch
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | 3,022 | [
[
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vocabtrimmer/xlm-roberta-base-trimmed-es-15000-xnli-es | 2023-04-24T09:09:42.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | vocabtrimmer | null | null | vocabtrimmer/xlm-roberta-base-trimmed-es-15000-xnli-es | 0 | 2 | transformers | 2023-04-24T09:08:41 | # `vocabtrimmer/xlm-roberta-base-trimmed-es-15000-xnli-es`
This model is a fine-tuned version of [vocabtrimmer/xlm-roberta-base-trimmed-es-15000](https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-es-15000) on the
[xnli](https://huggingface.co/datasets/xnli) (es).
Following metrics are computed on the `test... | 977 | [
[
-0.0396728515625,
-0.03265380859375,
0.020965576171875,
-0.0044403076171875,
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0.03973388671875,
0.044921875,
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-0.060150146484375,
-0.041717529296875,
0.000870... |
AlaaArboun/distilbert-base-uncased-finetuned-emotion | 2023-04-24T10:32:39.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | AlaaArboun | null | null | AlaaArboun/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-24T10:14:54 | ---
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: split... | 1,846 | [
[
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0.00860595703125,
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vocabtrimmer/xlm-roberta-base-trimmed-en-15000-xnli-en | 2023-04-24T10:46:50.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | vocabtrimmer | null | null | vocabtrimmer/xlm-roberta-base-trimmed-en-15000-xnli-en | 0 | 2 | transformers | 2023-04-24T10:45:35 | # `vocabtrimmer/xlm-roberta-base-trimmed-en-15000-xnli-en`
This model is a fine-tuned version of [vocabtrimmer/xlm-roberta-base-trimmed-en-15000](https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-15000) on the
[xnli](https://huggingface.co/datasets/xnli) (en).
Following metrics are computed on the `test... | 977 | [
[
-0.0380859375,
-0.032012939453125,
0.0213165283203125,
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0.043212890625,
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-0.061279296875,
-0.040771484375,
0.0003571510314941406... |
hardy500/distilbert-base-uncased-finetuned-emotion | 2023-04-24T11:37:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | hardy500 | null | null | hardy500/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-24T11:07:07 | ---
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
args: split
... | 1,798 | [
[
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0.023284912109375,
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0.0087738037109375,
-0.05609130859375,
-0.050994873046875,
-0.059967041015625,
... |
fredymad/roberta_estricto_2e-5_16_2 | 2023-05-29T23:01:52.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/roberta_estricto_2e-5_16_2 | 0 | 2 | transformers | 2023-04-24T11:20:43 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta_estricto_2e-5_16_2
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 comm... | 1,429 | [
[
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0.0231475830078125,
-0.05279541015625,
-0.0408935546875,
-0.0430908203125,
-0.0... |
MariaPerezCatalinas/clasificador-tweet-sentiment | 2023-04-24T11:42:02.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"classification",
"generated_from_trainer",
"dataset:tweet_sentiment_multilingual",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | MariaPerezCatalinas | null | null | MariaPerezCatalinas/clasificador-tweet-sentiment | 0 | 2 | transformers | 2023-04-24T11:41:20 | ---
license: apache-2.0
tags:
- classification
- generated_from_trainer
datasets:
- tweet_sentiment_multilingual
metrics:
- accuracy
model-index:
- name: clasificador-tweet-sentiment
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_sentiment_multilingua... | 1,867 | [
[
-0.029052734375,
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0.01064300537109375,
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-0.024... |
tanishabhagwanani/distilbert-base-uncased-finetuned-emotion | 2023-04-25T10:55:07.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | tanishabhagwanani | null | null | tanishabhagwanani/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-24T11:48:00 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | 2,067 | [
[
-0.040435791015625,
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0.011444091796875,
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-0.008728... |
fredymad/roberta_laxo_2e-5_16_2 | 2023-05-29T23:30:59.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/roberta_laxo_2e-5_16_2 | 0 | 2 | transformers | 2023-04-24T11:54:43 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta_laxo_2e-5_16_2
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.... | 1,435 | [
[
-0.028472900390625,
-0.047576904296875,
0.011962890625,
0.0169677734375,
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-0.03314208984375,
0.007640838623046875,
0.0241851806640625,
-0.05108642578125,
-0.043975830078125,
-0.048828125,
0.002035140991... |
thomasavare/distilbert-ft-test2 | 2023-04-24T13:59:55.000Z | [
"transformers",
"tf",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | thomasavare | null | null | thomasavare/distilbert-ft-test2 | 0 | 2 | transformers | 2023-04-24T11:58:31 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: distilbert-ft-test2
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. -->
# distilbert-ft-... | 1,282 | [
[
-0.03839111328125,
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0.0029315948486328125,
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-0.039520263671875,
-0.06707763671875,
... |
fredymad/siebert_estricto_2e-5_16_2 | 2023-05-30T05:32:07.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/siebert_estricto_2e-5_16_2 | 0 | 2 | transformers | 2023-04-24T12:24:09 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: siebert_estricto_2e-5_16_2
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. -->
# siebert_... | 1,431 | [
[
-0.0283203125,
-0.044342041015625,
0.016510009765625,
0.029571533203125,
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0.01513671875,
0.0240631103515625,
-0.05511474609375,
-0.053436279296875,
-0.056182861328125,
-0.00807952880859375... |
pigeon-phobia/bertweet-base_finetuned_olid_a | 2023-04-24T12:45:52.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | pigeon-phobia | null | null | pigeon-phobia/bertweet-base_finetuned_olid_a | 0 | 2 | transformers | 2023-04-24T12:35:49 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertweet-base_finetuned_olid_a
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. -->
# bert... | 1,461 | [
[
-0.032196044921875,
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0.01088714599609375,
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0.01227569580078125,
0.02349853515625,
-0.0531005859375,
-0.043731689453125,
-0.041351318359375,
... |
evasque1/roberta-base-bne-finetuned-amazon_reviews_multi | 2023-04-27T14:15:32.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"dataset:amazon_reviews_multi",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | evasque1 | null | null | evasque1/roberta-base-bne-finetuned-amazon_reviews_multi | 0 | 2 | transformers | 2023-04-24T12:56:20 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-amazon_reviews_multi
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
type: ... | 1,794 | [
[
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0.00954437255859375,
0.01384735107421875,
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0.00844573974609375,
0.028106689453125,
-0.051849365234375,
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-0.053314208984375,... |
pigeon-phobia/bertweet-base_finetuned_olid_b | 2023-04-24T14:23:35.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | pigeon-phobia | null | null | pigeon-phobia/bertweet-base_finetuned_olid_b | 0 | 2 | transformers | 2023-04-24T14:15:09 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertweet-base_finetuned_olid_b
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. -->
# bert... | 1,680 | [
[
-0.0330810546875,
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0.01157379150390625,
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... |
pigeon-phobia/bertweet-base_finetuned_olid_c | 2023-04-24T14:32:43.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | pigeon-phobia | null | null | pigeon-phobia/bertweet-base_finetuned_olid_c | 0 | 2 | transformers | 2023-04-24T14:29:29 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertweet-base_finetuned_olid_c
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. -->
# bert... | 1,680 | [
[
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0.0206298828125,
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-0.04791259765625,
-0.044921875,
-0.0252075195312... |
husseinMoh/bart-base-finetuned-text-simplification | 2023-04-24T20:45:56.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"generated_from_trainer",
"dataset:wiki_auto",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | husseinMoh | null | null | husseinMoh/bart-base-finetuned-text-simplification | 0 | 2 | transformers | 2023-04-24T14:41:03 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wiki_auto
model-index:
- name: bart-base-finetuned-text-simplification
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 r... | 1,535 | [
[
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-0.04620361328125,
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sam34738/mBERT_hasoc | 2023-04-24T15:15:00.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | sam34738 | null | null | sam34738/mBERT_hasoc | 0 | 2 | transformers | 2023-04-24T14:58:21 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: mBERT_hasoc
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. -->
... | 1,485 | [
[
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mojemai/dqn-SpaceInvadersNoFrameskip-v4 | 2023-04-25T09:08:48.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | mojemai | null | null | mojemai/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-04-24T15:09:26 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | 2,689 | [
[
-0.04168701171875,
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fredymad/Financial_estricto_2e-5_16_2 | 2023-05-30T06:23:42.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | fredymad | null | null | fredymad/Financial_estricto_2e-5_16_2 | 0 | 2 | transformers | 2023-04-24T15:13:55 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Financial_estricto_2e-5_16_2
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. -->
# Financ... | 1,445 | [
[
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dyosh/distilbert-base-uncased-finetuned-emotion | 2023-04-24T17:22:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | dyosh | null | null | dyosh/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-24T15:30:05 | ---
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
args: default... | 2,137 | [
[
-0.036041259765625,
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0.01549530029296875,
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pabagcha/finetuning-sentiment-model-3 | 2023-04-24T16:57:49.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | text-classification | pabagcha | null | null | pabagcha/finetuning-sentiment-model-3 | 0 | 2 | transformers | 2023-04-24T16:49:18 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3
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. -->
# f... | 2,053 | [
[
-0.045928955078125,
-0.046356201171875,
0.007183074951171875,
0.019775390625,
-0.022247314453125,
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0.0199127197265625,
0.018829345703125,
-0.06298828125,
-0.0640869140625,
-0.048309326171875,
-0... |
maxmustermannde/distilbert-base-uncased-finetuned-emotion | 2023-04-29T06:44:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | maxmustermannde | null | null | maxmustermannde/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-24T17:37:52 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | 1,498 | [
[
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-0.050201416015625,
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... |
navidmadani/mpnet-twitter-freq100 | 2023-04-24T17:48:30.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | sentence-similarity | navidmadani | null | null | navidmadani/mpnet-twitter-freq100 | 0 | 2 | sentence-transformers | 2023-04-24T17:42:06 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# mpnet-twitter-freq100
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering o... | 2,384 | [
[
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9wimu9/retriever-model | 2023-04-24T17:55:11.000Z | [
"sentence-transformers",
"pytorch",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 9wimu9 | null | null | 9wimu9/retriever-model | 0 | 2 | sentence-transformers | 2023-04-24T17:53:43 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clust... | 3,724 | [
[
-0.020294189453125,
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0.02899169921875,
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-0.046905517578125,
-0.051788330078125,
... |
minimax123/albert-base-v2-finetuned-tweets | 2023-04-24T20:55:46.000Z | [
"transformers",
"pytorch",
"tensorboard",
"albert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | minimax123 | null | null | minimax123/albert-base-v2-finetuned-tweets | 0 | 2 | transformers | 2023-04-24T18:06:06 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
model-index:
- name: albert-base-v2-finetuned-tweets
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 thi... | 1,416 | [
[
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-0.048431396484375,
-0.0159149169... |
vocabtrimmer/xlm-roberta-base-xnli-fr-trimmed-fr-15000 | 2023-04-24T18:17:45.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | vocabtrimmer | null | null | vocabtrimmer/xlm-roberta-base-xnli-fr-trimmed-fr-15000 | 0 | 2 | transformers | 2023-04-24T18:14:33 | # Vocabulary Trimmed [vocabtrimmer/xlm-roberta-base-xnli-fr](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-fr): `vocabtrimmer/xlm-roberta-base-xnli-fr-trimmed-fr-15000`
This model is a trimmed version of [vocabtrimmer/xlm-roberta-base-xnli-fr](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-fr) b... | 1,927 | [
[
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rebeccayhu/dreambooth_riffusion_model_afrotechno_v1 | 2023-04-24T21:24:24.000Z | [
"keras",
"region:us"
] | null | rebeccayhu | null | null | rebeccayhu/dreambooth_riffusion_model_afrotechno_v1 | 0 | 2 | keras | 2023-04-24T21:21:00 | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Model Plot
<details>
<summary>View Model Plot</summary>
</details> | 292 | [
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NourEldin-Osama/bart-base-finetuned-text-simplification | 2023-04-25T04:16:07.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"generated_from_trainer",
"dataset:wiki_auto",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | NourEldin-Osama | null | null | NourEldin-Osama/bart-base-finetuned-text-simplification | 0 | 2 | transformers | 2023-04-24T22:28:52 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wiki_auto
model-index:
- name: bart-base-finetuned-text-simplification
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 r... | 1,535 | [
[
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angelajyeung/results | 2023-04-24T22:48:15.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | angelajyeung | null | null | angelajyeung/results | 0 | 2 | transformers | 2023-04-24T22:45:12 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: results
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 th... | 1,662 | [
[
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rebolforces/distilbert-base-uncased-finetuned-emotion | 2023-04-25T01:49:40.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | rebolforces | null | null | rebolforces/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-25T01:30:28 | ---
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
args: split
... | 1,803 | [
[
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MITCriticalData/Sentinel-2_Resnet50V2_Autoencoder_RGB | 2023-04-25T21:07:56.000Z | [
"keras",
"region:us"
] | null | MITCriticalData | null | null | MITCriticalData/Sentinel-2_Resnet50V2_Autoencoder_RGB | 0 | 2 | keras | 2023-04-25T02:20:00 | ---
library_name: keras
---
## Model description
Autoencoder model trained to compress information from sentinel-2 satellite images using Resnet50 V2 as encoder backbone to extract features.
The latent space of the model is given by 1024 neurons which can be used to generate embeddings from the sentinel-2 satellite ... | 1,606 | [
[
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mHossain/bangla-para-v3 | 2023-04-25T05:29:22.000Z | [
"transformers",
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | mHossain | null | null | mHossain/bangla-para-v3 | 0 | 2 | transformers | 2023-04-25T02:44:16 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bangla-para-v3
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. -->
# ban... | 1,585 | [
[
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MITCriticalData/Sentinel-2_ViT_Autoencoder_12Bands | 2023-05-01T20:54:29.000Z | [
"keras",
"region:us"
] | null | MITCriticalData | null | null | MITCriticalData/Sentinel-2_ViT_Autoencoder_12Bands | 0 | 2 | keras | 2023-04-25T03:54:47 | ---
library_name: keras
---
## Model description
Autoencoder model trained to compress information from sentinel-2 satellite images using Vision Transformer (ViT) as encoder backbone to extract features.
The latent space of the model is given by 1024 neurons which can be used to generate embeddings from the sentine... | 2,151 | [
[
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-0.03936767578125,
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... |
MITCriticalData/Sentinel-2_ViT_Autoencoder_RGB | 2023-05-01T20:48:36.000Z | [
"keras",
"region:us"
] | null | MITCriticalData | null | null | MITCriticalData/Sentinel-2_ViT_Autoencoder_RGB | 0 | 2 | keras | 2023-04-25T04:53:11 | ---
library_name: keras
---
## Model description
Autoencoder model trained to compress information from sentinel-2 satellite images using Vision Transformer (ViT) as encoder backbone to extract features.
The latent space of the model is given by 1024 neurons which can be used to generate embeddings from the sentinel... | 2,167 | [
[
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StevenLimcorn/bert-large-uncased-semeval2016-restaurants | 2023-04-25T05:17:40.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"generated_from_trainer",
"dataset:Yaxin/SemEval2016Task5Raw",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | StevenLimcorn | null | null | StevenLimcorn/bert-large-uncased-semeval2016-restaurants | 0 | 2 | transformers | 2023-04-25T05:05:53 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- Yaxin/SemEval2016Task5Raw
metrics:
- accuracy
model-index:
- name: bert-large-uncased-semeval2016-restaurants
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: Yaxin/SemEval2016Task5Raw restaurants_... | 1,624 | [
[
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huggingtweets/adrianachechik | 2023-04-25T07:05:23.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | huggingtweets | null | null | huggingtweets/adrianachechik | 0 | 2 | transformers | 2023-04-25T07:05:14 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... | 3,521 | [
[
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JWP/distilbert-base-uncased-finetuned-emotion | 2023-09-01T20:21:28.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | JWP | null | null | JWP/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-25T07:38:57 | ---
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: split... | 1,777 | [
[
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m8than/bert-base-multilingual-cased-finetuned-emotion | 2023-04-25T09:56:36.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | m8than | null | null | m8than/bert-base-multilingual-cased-finetuned-emotion | 1 | 2 | transformers | 2023-04-25T09:41:24 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: bert-base-multilingual-cased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: de... | 1,827 | [
[
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tanishabhagwanani/distilbert-base-uncased-finetuned-FYP | 2023-04-30T04:16:00.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | tanishabhagwanani | null | null | tanishabhagwanani/distilbert-base-uncased-finetuned-FYP | 0 | 2 | transformers | 2023-04-25T11:27:44 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-FYP
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 ... | 2,065 | [
[
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... |
dexion/distilbert-base-uncased-finetuned-emotions-7th | 2023-04-25T12:34:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | dexion | null | null | dexion/distilbert-base-uncased-finetuned-emotions-7th | 0 | 2 | transformers | 2023-04-25T11:49:37 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotions-7th
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emoti... | 1,939 | [
[
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abradolf/autotrain-text_c-52381123464 | 2023-04-25T12:14:32.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"autotrain",
"en",
"dataset:abradolf/autotrain-data-text_c",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | abradolf | null | null | abradolf/autotrain-text_c-52381123464 | 0 | 2 | transformers | 2023-04-25T12:04:23 | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- abradolf/autotrain-data-text_c
co2_eq_emissions:
emissions: 0.0198314797068548
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 52381123464
- CO2 Emissions (in grams... | 1,272 | [
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-0.0362548828125,
-0.05850219726562... |
conorjudge/distilbert-base-uncased-finetuned-sprint-meds | 2023-07-12T00:11:37.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | conorjudge | null | null | conorjudge/distilbert-base-uncased-finetuned-sprint-meds | 0 | 2 | transformers | 2023-04-25T13:08:32 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-sprint-meds
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | 4,921 | [
[
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-0.0477294921875,
-0.04693603515625... |
ardaaras99/distilbert-base-uncased-finetuned-cola | 2023-04-27T15:35:56.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | ardaaras99 | null | null | ardaaras99/distilbert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-04-25T13:19:21 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
... | 1,740 | [
[
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MITCriticalData/Sentinel-2_Resnet50V2_Autoencoder_RGB_full_Colombia_Dataset | 2023-04-25T21:01:08.000Z | [
"keras",
"region:us"
] | null | MITCriticalData | null | null | MITCriticalData/Sentinel-2_Resnet50V2_Autoencoder_RGB_full_Colombia_Dataset | 0 | 2 | keras | 2023-04-25T13:48:43 | ---
library_name: keras
---
## Model description
Autoencoder model trained to compress information from sentinel-2 satellite images using Resnet50 V2 as encoder backbone to extract features.
The latent space of the model is given by 1024 neurons which can be used to generate embeddings from the sentinel-2 satellite ... | 1,583 | [
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MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_RGB | 2023-04-25T21:11:04.000Z | [
"keras",
"region:us"
] | null | MITCriticalData | null | null | MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_RGB | 0 | 2 | keras | 2023-04-25T14:03:08 | ---
library_name: keras
---
## Model description
Variational Autoencoder model trained to compress information from sentinel-2 satellite images using Resnet50 V2 as encoder backbone to extract features.
The latent space of the model is given by 1024 neurons which can be used to generate embeddings from the sentinel-... | 1,630 | [
[
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StevenLimcorn/bert-large-uncased-facebook-election-ads | 2023-04-26T14:59:11.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | StevenLimcorn | null | null | StevenLimcorn/bert-large-uncased-facebook-election-ads | 0 | 2 | transformers | 2023-04-25T14:21:03 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-large-uncased-facebook-election-ads
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 re... | 1,258 | [
[
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Anwaarma/PROJECT_SPAM | 2023-04-25T14:50:17.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"autotrain",
"unk",
"dataset:Anwaarma/autotrain-data-sms_arr",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | Anwaarma | null | null | Anwaarma/PROJECT_SPAM | 0 | 2 | transformers | 2023-04-25T14:48:19 | ---
tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Anwaarma/autotrain-data-sms_arr
co2_eq_emissions:
emissions: 0.8734880096848107
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 52431123662
- CO2 Emissions (in grams): ... | 1,127 | [
[
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vvsotnikov/stablelm-7b-sft-v7-epoch-3-8bit | 2023-04-25T15:18:43.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"sft",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | vvsotnikov | null | null | vvsotnikov/stablelm-7b-sft-v7-epoch-3-8bit | 0 | 2 | transformers | 2023-04-25T15:00:45 | ---
license: apache-2.0
language:
- en
tags:
- sft
pipeline_tag: text-generation
widget:
- text: <|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
- text: <|prompter|>What's the Earth total population<|endoftext|><|assistant|>
- text: <|prompter|>Write a story abou... | 510 | [
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sarahflan/distilbert-base-uncased-finetuned-sprint-meds | 2023-04-27T09:40:43.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | sarahflan | null | null | sarahflan/distilbert-base-uncased-finetuned-sprint-meds | 0 | 2 | transformers | 2023-04-25T16:05:49 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-sprint-meds
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | 4,921 | [
[
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-0.0467529296875,
-0.047393798828125,
-0.0... |
thomasavare/distilroberta-ft-test1 | 2023-04-25T16:28:57.000Z | [
"transformers",
"tf",
"roberta",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | thomasavare | null | null | thomasavare/distilroberta-ft-test1 | 0 | 2 | transformers | 2023-04-25T16:28:46 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: distilroberta-ft-test1
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. -->
# distilrober... | 1,278 | [
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NicholasSynovic/AutoTrain-LUC-COMP429-VEAA-Classification | 2023-07-28T14:54:54.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"autotrain",
"en",
"dataset:NicholasSynovic/autotrain-data-luc-comp429-victorian-authorship-classification",
"license:agpl-3.0",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | NicholasSynovic | null | null | NicholasSynovic/AutoTrain-LUC-COMP429-VEAA-Classification | 0 | 2 | transformers | 2023-04-25T17:37:57 | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: I love AutoTrain
datasets:
- NicholasSynovic/autotrain-data-luc-comp429-victorian-authorship-classification
co2_eq_emissions:
emissions: 4.1359796275464005
license: agpl-3.0
metrics:
- accuracy
- f1
- recall
- bertscore
pipeline_tag: text-clas... | 1,692 | [
[
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andyP/sf-it-xxl-submission_20230425_175048 | 2023-04-25T17:52:09.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | andyP | null | null | andyP/sf-it-xxl-submission_20230425_175048 | 0 | 2 | sentence-transformers | 2023-04-25T17:51:27 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# andyP/sf-it-xxl-submission_20230425_175048
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficien... | 1,573 | [
[
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pascalhuerten/t5-small-finetuned-esco-summarisation | 2023-04-26T22:15:51.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | pascalhuerten | null | null | pascalhuerten/t5-small-finetuned-esco-summarisation | 0 | 2 | transformers | 2023-04-25T18:49:04 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-esco-summarisation
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 com... | 1,336 | [
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0.02386474609375,
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-0.049530029296875,
-0.043548583984375,
0.0... |
dgalik/finetuning-distilbert-hate-speech-score-model-all-samples-250423 | 2023-04-25T20:06:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | dgalik | null | null | dgalik/finetuning-distilbert-hate-speech-score-model-all-samples-250423 | 0 | 2 | transformers | 2023-04-25T19:10:43 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuning-distilbert-hate-speech-score-model-all-samples-250423
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | 1,265 | [
[
-0.04217529296875,
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0.0103302001953125,
-0.04132080078125,
-0.049530029296875,
-0.0771484375,
-0... |
andyP/sf-it-submission_20230425_191818 | 2023-04-25T19:23:28.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"setfit",
"text-classification",
"arxiv:2209.11055",
"license:apache-2.0",
"region:us"
] | text-classification | andyP | null | null | andyP/sf-it-submission_20230425_191818 | 0 | 2 | sentence-transformers | 2023-04-25T19:22:48 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---
# andyP/sf-it-submission_20230425_191818
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient fe... | 1,565 | [
[
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mrfakename/tweetgpt-15k-v1 | 2023-11-02T23:38:33.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"dataset:tweet_eval",
"dataset:other",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | mrfakename | null | null | mrfakename/tweetgpt-15k-v1 | 0 | 2 | transformers | 2023-04-25T19:47:37 | ---
license: other
license_name: omlv1
license_link: https://github.com/fakerybakery/OpenModelLicense
datasets:
- tweet_eval
- other
---
[tweetgpt-5k-v1](https://huggingface.co/mrfakename/tweetgpt-5k-v1) - **tweetgpt-15k-v1**
# tweetgpt-15k-v1
## usage
```python
from transformers import pipeline
pipe = pipeline("te... | 2,255 | [
[
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0.0018548965454101562,
0.037933349609375,
-0.053741455078125,
-0.04241943359375,
-0.051544189453125... |
emmaenglish/finetuned_distilbert | 2023-04-25T23:22:00.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | emmaenglish | null | null | emmaenglish/finetuned_distilbert | 0 | 2 | transformers | 2023-04-25T19:57:44 | Model Trained from Toxic Comment Classification Challenge - data from Kaggle
GPU in google colab used to do training | 119 | [
[
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-0.0196533203125,
0.038848876953125,
-0.04827880859375,
-0.01922607421875,
-0.0329284667... |
dgalik/finetuning-distilbert-hate-speech-score-model-all-samples-dropout005-250423 | 2023-04-25T21:47:41.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | dgalik | null | null | dgalik/finetuning-distilbert-hate-speech-score-model-all-samples-dropout005-250423 | 0 | 2 | transformers | 2023-04-25T20:39:30 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuning-distilbert-hate-speech-score-model-all-samples-dropout005-250423
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | 1,287 | [
[
-0.0428466796875,
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0.0015363693237304688,
0.010009765625,
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-0.050079345703125,
-0.07586669921875,
-0.0... |
MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_RGB_full_Colombia_Dataset | 2023-04-26T13:50:20.000Z | [
"keras",
"region:us"
] | null | MITCriticalData | null | null | MITCriticalData/Sentinel-2_Resnet50V2_VariationalAutoencoder_RGB_full_Colombia_Dataset | 0 | 2 | keras | 2023-04-25T21:14:25 | ---
library_name: keras
---
## Model description
Variational Autoencoder model trained to compress information from sentinel-2 satellite images using Resnet50 V2 as encoder backbone to extract features.
The latent space of the model is given by 1024 neurons which can be used to generate embeddings from the sentinel-... | 1,630 | [
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khadija267/distilbert-base-uncased-finetuned-clinc | 2023-04-26T20:02:43.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:clinc_oos",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | khadija267 | null | null | khadija267/distilbert-base-uncased-finetuned-clinc | 0 | 2 | transformers | 2023-04-25T23:46:09 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... | 1,889 | [
[
-0.03472900390625,
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0.021484375,
-0.047149658203125,
-0.0489501953125,
-0.05755615234375,
-... |
khadija267/distilbert-base-uncased-distilled-clinc | 2023-04-26T20:25:28.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:clinc_oos",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | khadija267 | null | null | khadija267/distilbert-base-uncased-distilled-clinc | 0 | 2 | transformers | 2023-04-26T00:36:05 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... | 2,199 | [
[
-0.035675048828125,
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0.0161895751953125,
0.005157470703125,
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0.0109100341796875,
0.02197265625,
-0.042999267578125,
-0.049102783203125,
-0.06085205078125,
-0... |
catalpa/codecapybara-4bit-128g-gptq | 2023-04-26T07:52:28.000Z | [
"transformers",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | catalpa | null | null | catalpa/codecapybara-4bit-128g-gptq | 4 | 2 | transformers | 2023-04-26T01:07:23 | Based on https://huggingface.co/Fsoft-AIC/CodeCapybara
Using https://github.com/qwopqwop200/GPTQ-for-LLaMa triton branch
python llama.py CodeCapybara/ c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors codecapybara-4bit-128g-gptq.safetensors | 270 | [
[
-0.01442718505859375,
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0.043701171875,
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0.0234375,
-0.026611328125,
0.026641845703125,
0.022796630859375,
-0.009063720703125,
-0.038238525390625,
-0.029510498046875,
0.01400756835... |
AlekseyKorshuk/chatml-test | 2023-04-26T02:46:27.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | AlekseyKorshuk | null | null | AlekseyKorshuk/chatml-test | 0 | 2 | transformers | 2023-04-26T01:09:54 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: chatml-test
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. -->
# cha... | 1,583 | [
[
-0.0274200439453125,
-0.05767822265625,
0.0015287399291992188,
0.0074615478515625,
-0.0279083251953125,
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-0.0194854736328125,
-0.021728515625,
0.0145416259765625,
0.00853729248046875,
-0.047210693359375,
-0.036956787109375,
-0.043792724609375,
... |
jap2/bert-base-sst-2 | 2023-04-26T11:29:33.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | jap2 | null | null | jap2/bert-base-sst-2 | 0 | 2 | transformers | 2023-04-26T01:26:53 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: bert-base-sst-2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: sst2
split: v... | 2,911 | [
[
-0.033660888671875,
-0.04705810546875,
0.012603759765625,
0.00762176513671875,
-0.01776123046875,
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-0.005886077880859375,
-0.01070404052734375,
0.033660888671875,
0.0186767578125,
-0.05279541015625,
-0.044097900390625,
-0.053741455078125,
... |
Sleoruiz/roberta-base-fine-tuned-text-classification-pesos-fixed | 2023-04-26T04:26:11.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Sleoruiz | null | null | Sleoruiz/roberta-base-fine-tuned-text-classification-pesos-fixed | 0 | 2 | transformers | 2023-04-26T01:44:11 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: roberta-base-fine-tuned-text-classification-pesos-fixed
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 ... | 1,110 | [
[
-0.02056884765625,
-0.0615234375,
0.0242156982421875,
0.01239776611328125,
-0.031280517578125,
-0.0188446044921875,
-0.0242919921875,
-0.02099609375,
0.00777435302734375,
0.03961181640625,
-0.038665771484375,
-0.044677734375,
-0.058074951171875,
-0.000504493... |
andyqin18/test-finetuned | 2023-04-28T02:52:53.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | andyqin18 | null | null | andyqin18/test-finetuned | 0 | 2 | transformers | 2023-04-26T03:21:24 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: test-finetuned
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. -->
# test-finetuned
This... | 1,332 | [
[
-0.042449951171875,
-0.05511474609375,
0.01183319091796875,
0.01287841796875,
-0.030731201171875,
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-0.01800537109375,
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0.00316619873046875,
0.0278167724609375,
-0.06365966796875,
-0.041595458984375,
-0.0423583984375,
-0.... |
andyqin18/finetuned-bert-uncased | 2023-04-30T05:34:16.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | andyqin18 | null | null | andyqin18/finetuned-bert-uncased | 0 | 2 | transformers | 2023-04-26T04:06:07 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuned-bert-uncased
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. -->
# Model descri... | 1,573 | [
[
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0.00493621826171875,
-0.0179443359375,
-0.025390625,
-0.002655029296875,
-0.02764892578125,
0.0087432861328125,
0.0330810546875,
-0.049346923828125,
-0.053314208984375,
-0.04833984375,
-0.00574493408... |
Sleoruiz/roberta-base-fine-tuned-text-classification-pesos-fixed-2 | 2023-04-26T12:00:10.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Sleoruiz | null | null | Sleoruiz/roberta-base-fine-tuned-text-classification-pesos-fixed-2 | 0 | 2 | transformers | 2023-04-26T05:08:57 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: roberta-base-fine-tuned-text-classification-pesos-fixed-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread an... | 1,699 | [
[
-0.024627685546875,
-0.046417236328125,
0.0172119140625,
0.00815582275390625,
-0.0240631103515625,
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-0.022003173828125,
-0.017578125,
0.00406646728515625,
0.03045654296875,
-0.04345703125,
-0.0496826171875,
-0.059661865234375,
-0.00992584228... |
quickman/mt5-base-finetuned-novel-chinese-to-spanish-v1 | 2023-04-26T07:44:22.000Z | [
"transformers",
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | quickman | null | null | quickman/mt5-base-finetuned-novel-chinese-to-spanish-v1 | 0 | 2 | transformers | 2023-04-26T05:39:46 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-base-finetuned-novel-chinese-to-spanish-v1
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 ... | 11,470 | [
[
-0.038177490234375,
-0.0230865478515625,
0.03466796875,
0.009033203125,
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0.00337982177734375,
-0.019439697265625,
0.061859130859375,
0.022735595703125,
-0.01971435546875,
-0.051116943359375,
-0.030609130859375,
0.... |
minoosh/AST2-finetuned-on-shEMO | 2023-04-26T11:23:19.000Z | [
"transformers",
"pytorch",
"audio-spectrogram-transformer",
"audio-classification",
"generated_from_trainer",
"license:bsd-3-clause",
"endpoints_compatible",
"region:us"
] | audio-classification | minoosh | null | null | minoosh/AST2-finetuned-on-shEMO | 0 | 2 | transformers | 2023-04-26T06:01:50 | ---
license: bsd-3-clause
tags:
- generated_from_trainer
model-index:
- name: AST2-finetuned-on-shEMO
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. -->
# AST2-fine... | 1,369 | [
[
-0.0338134765625,
-0.0391845703125,
0.0006308555603027344,
0.012664794921875,
-0.0312347412109375,
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-0.02801513671875,
-0.016082763671875,
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0.0229644775390625,
-0.053375244140625,
-0.032867431640625,
-0.05035400390625,
-0.0... |
tihimsm/distilbert-base-uncased-finetuned-emotion | 2023-04-26T07:24:37.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | tihimsm | null | null | tihimsm/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-26T07:14:04 | ---
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
args: split
... | 1,803 | [
[
-0.037994384765625,
-0.04217529296875,
0.0159912109375,
0.021270751953125,
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-0.020233154296875,
-0.01287841796875,
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0.01064300537109375,
0.009307861328125,
-0.0570068359375,
-0.052001953125,
-0.059295654296875,
-0.0087... |
Adoley/covid-tweets-sentiment-analysis | 2023-05-11T18:30:13.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | Adoley | null | null | Adoley/covid-tweets-sentiment-analysis | 0 | 2 | transformers | 2023-04-26T08:09:45 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: covid-tweets-sentiment-analysis
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. -->
# cov... | 1,657 | [
[
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dgalik/finetuning-distilbert-hate-speech-score-model-all-samples-dropout005-epochs-10-260423 | 2023-04-26T10:07:00.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | dgalik | null | null | dgalik/finetuning-distilbert-hate-speech-score-model-all-samples-dropout005-epochs-10-260423 | 0 | 2 | transformers | 2023-04-26T08:51:59 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuning-distilbert-hate-speech-score-model-all-samples-dropout005-epochs-10-260423
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread... | 1,308 | [
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nickovchinnikov/distilbert-base-uncased-finetuned-emotion | 2023-08-04T13:46:47.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | nickovchinnikov | null | null | nickovchinnikov/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-26T09:00:32 | ---
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: split... | 1,841 | [
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jorgefedzhedz/distilbert-base-uncased-finetuned-cola | 2023-04-26T12:33:20.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | jorgefedzhedz | null | null | jorgefedzhedz/distilbert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-04-26T12:09:33 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
... | 2,041 | [
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Dewa/dqn-SpaceInvadersNoFrameskip-v4-version-6 | 2023-04-26T13:39:48.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Dewa | null | null | Dewa/dqn-SpaceInvadersNoFrameskip-v4-version-6 | 0 | 2 | stable-baselines3 | 2023-04-26T12:50:28 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | 2,679 | [
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cafbr/distilbert-base-uncased-finetuned-emotion | 2023-05-06T23:59:37.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | cafbr | null | null | cafbr/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-26T13:19:01 | ---
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: split... | 1,845 | [
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Jamesonn/DialoGPT-small-jumin | 2023-04-26T14:58:43.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"Deep Story",
"Jumin",
"Dating Sim",
"conversational",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | conversational | Jamesonn | null | null | Jamesonn/DialoGPT-small-jumin | 0 | 2 | transformers | 2023-04-26T14:15:55 | ---
language:
- en
tags:
- Deep Story
- Jumin
- Dating Sim
- conversational
---
#JuminBot DialoGPT Model | 105 | [
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cornut/dqn-SpaceInvadersNoFrameskip-v4 | 2023-04-26T14:18:44.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | cornut | null | null | cornut/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-04-26T14:18:00 | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | 2,686 | [
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ardaaras99/bert-base-uncased-finetuned-cola | 2023-05-01T16:35:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | ardaaras99 | null | null | ardaaras99/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-04-26T14:37:45 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
split... | 1,722 | [
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TheLastProgrammerStanding/distilbert-base-uncased-finetuned-clinc | 2023-04-27T15:32:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:clinc_oos",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | TheLastProgrammerStanding | null | null | TheLastProgrammerStanding/distilbert-base-uncased-finetuned-clinc | 0 | 2 | transformers | 2023-04-26T15:10:43 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
config: plus
... | 1,932 | [
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bright1/fine-tuned-distilbert-base-uncased | 2023-04-29T13:07:05.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | bright1 | null | null | bright1/fine-tuned-distilbert-base-uncased | 0 | 2 | transformers | 2023-04-26T16:12:58 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-distilbert-base-uncased
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. -->
# ... | 1,341 | [
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shahukareem/coral-classification | 2023-04-26T17:24:29.000Z | [
"transformers",
"pytorch",
"beit",
"image-classification",
"autotrain",
"vision",
"dataset:shahukareem/autotrain-data-coral-classification",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | shahukareem | null | null | shahukareem/coral-classification | 0 | 2 | transformers | 2023-04-26T17:23:23 | ---
tags:
- autotrain
- vision
- image-classification
datasets:
- shahukareem/autotrain-data-coral-classification
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
exampl... | 892 | [
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rafsankabir/Finetuned_NLI_TeacherModel | 2023-04-27T01:17:38.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:xnli_bn",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | rafsankabir | null | null | rafsankabir/Finetuned_NLI_TeacherModel | 0 | 2 | transformers | 2023-04-26T17:25:55 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xnli_bn
metrics:
- accuracy
model-index:
- name: rafsankabir/Finetuned_NLI_TeacherModel
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: xnli_bn
type: xnli_bn
config: xnli_bn
split:... | 2,944 | [
[
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jackoyoungblood/distilbert-base-uncased-finetuned-emotion | 2023-04-27T16:35:00.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | jackoyoungblood | null | null | jackoyoungblood/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-26T17:57:29 | ---
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
args: split
... | 1,804 | [
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LecJackS/distilbert-base-uncased-finetuned-emotion | 2023-04-26T18:36:36.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | LecJackS | null | null | LecJackS/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-26T18:23:29 | ---
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
args: split
... | 1,803 | [
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htriedman/wiki-sparql-models | 2023-05-01T15:41:54.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | htriedman | null | null | htriedman/wiki-sparql-models | 1 | 2 | transformers | 2023-04-26T19:27:09 | ---
tags:
- generated_from_trainer
model-index:
- name: wiki-sparql-models
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. -->
# wiki-sparql-models
This model is a ... | 1,922 | [
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amitrajitbh1/distilroberta-base-finetuned-teen-2 | 2023-04-26T20:49:20.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | amitrajitbh1 | null | null | amitrajitbh1/distilroberta-base-finetuned-teen-2 | 0 | 2 | transformers | 2023-04-26T20:14:09 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-teen-2
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. -->
#... | 1,487 | [
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bostiadm/distilbert-base-uncased-finetuned-clinc | 2023-04-26T22:53:41.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | bostiadm | null | null | bostiadm/distilbert-base-uncased-finetuned-clinc | 0 | 2 | transformers | 2023-04-26T20:18:01 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... | 1,614 | [
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Abubakari/finetuned-Sentiment-classfication-BERT-model | 2023-04-26T23:13:14.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | Abubakari | null | null | Abubakari/finetuned-Sentiment-classfication-BERT-model | 0 | 2 | transformers | 2023-04-26T20:44:31 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuned-Sentiment-classfication-BERT-model
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 commen... | 1,722 | [
[
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cartesinus/iva_mt_wslot-m2m100_418M-en-es-massive_unfiltered | 2023-04-27T01:25:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"m2m_100",
"text2text-generation",
"generated_from_trainer",
"dataset:iva_mt_wslot-exp",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | cartesinus | null | null | cartesinus/iva_mt_wslot-m2m100_418M-en-es-massive_unfiltered | 0 | 2 | transformers | 2023-04-26T21:59:49 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- iva_mt_wslot-exp
metrics:
- bleu
model-index:
- name: iva_mt_wslot-m2m100_418M-en-es-massive_unfiltered
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: iva_mt_wslot-exp
typ... | 2,233 | [
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fieldms/distilbert-base-uncased-finetuned-clinc | 2023-04-27T04:35:26.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | fieldms | null | null | fieldms/distilbert-base-uncased-finetuned-clinc | 0 | 2 | transformers | 2023-04-27T00:09:03 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... | 1,614 | [
[
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... |
fieldms/distilbert-base-uncased-distilled-clinc | 2023-04-27T04:47:35.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | fieldms | null | null | fieldms/distilbert-base-uncased-distilled-clinc | 0 | 2 | transformers | 2023-04-27T01:07:08 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... | 1,800 | [
[
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carolinetfls/plant-seedlings-model-mit | 2023-04-27T05:33:07.000Z | [
"transformers",
"pytorch",
"tensorboard",
"segformer",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"license:other",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | carolinetfls | null | null | carolinetfls/plant-seedlings-model-mit | 0 | 2 | transformers | 2023-04-27T01:57:11 | ---
license: other
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: plant-seedlings-model-mit
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
spl... | 7,985 | [
[
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clayygodd/distilbert-base-uncased-finetuned-clinc | 2023-04-27T05:54:06.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:clinc_oos",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | clayygodd | null | null | clayygodd/distilbert-base-uncased-finetuned-clinc | 0 | 2 | transformers | 2023-04-27T03:32:14 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
config: plus
... | 1,932 | [
[
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riho1710/distilbert-base-uncased-finetuned-emotion | 2023-05-06T14:54:42.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | riho1710 | null | null | riho1710/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-04-27T03:36:22 | ---
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: split... | 1,846 | [
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pamelapaolacb/roberta-base-bne-jou-amazon_reviews_multi | 2023-04-27T03:54:14.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"generated_from_trainer",
"dataset:amazon_reviews_multi",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | pamelapaolacb | null | null | pamelapaolacb/roberta-base-bne-jou-amazon_reviews_multi | 0 | 2 | transformers | 2023-04-27T03:39:06 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
model-index:
- name: roberta-base-bne-jou-amazon_reviews_multi
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
type: amazon... | 1,783 | [
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