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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
tigindundar4/bert-base-uncased-finetuned-cola | 2023-05-07T14:49:26.000Z | [
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] | text-classification | tigindundar4 | null | null | tigindundar4/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-06T18:57:43 | ---
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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berkozcelik/bert-base-uncased-finetuned-cola | 2023-05-07T18:13:49.000Z | [
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"text-classification",
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] | text-classification | berkozcelik | null | null | berkozcelik/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-06T19:02:13 | ---
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
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config: cola
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sepehrbakhshi/bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_05_16 | 2023-05-06T21:46:53.000Z | [
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] | text-classification | sepehrbakhshi | null | null | sepehrbakhshi/bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_05_16 | 0 | 2 | transformers | 2023-05-06T19:08:51 | ---
license: apache-2.0
tags:
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datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_05_16
results:
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KubraCaglar/bert-base-uncased-finetuned-cola | 2023-05-07T23:26:13.000Z | [
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"text-classification",
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] | text-classification | KubraCaglar | null | null | KubraCaglar/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-06T20:05:23 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
results:
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name: Text Classification
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sepehrbakhshi/bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_00_16 | 2023-05-06T23:23:49.000Z | [
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"text-classification",
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] | text-classification | sepehrbakhshi | null | null | sepehrbakhshi/bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_00_16 | 0 | 2 | transformers | 2023-05-06T21:50:14 | ---
license: apache-2.0
tags:
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datasets:
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metrics:
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model-index:
- name: bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_00_16
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anilbayramg/bert-base-uncased-finetuned-cola | 2023-05-08T00:09:07.000Z | [
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] | text-classification | anilbayramg | null | null | anilbayramg/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-06T22:33:57 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
results:
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name: Text Classification
type: text-classification
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Gridflow/distilbert-base-uncased-finetuned-emotion2 | 2023-05-07T00:54:48.000Z | [
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"text-classification",
"generated_from_trainer",
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] | text-classification | Gridflow | null | null | Gridflow/distilbert-base-uncased-finetuned-emotion2 | 0 | 2 | transformers | 2023-05-07T00:50:31 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
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model-index:
- name: distilbert-base-uncased-finetuned-emotion2
results:
- task:
name: Text Classification
type: text-classification
dataset:
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config: spli... | 1,850 | [
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utkuden/bert-base-uncased-finetuned-cola | 2023-05-07T12:52:42.000Z | [
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] | text-classification | utkuden | null | null | utkuden/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T01:22:52 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
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model-index:
- name: bert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
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config: cola
split... | 1,722 | [
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takeshiho0531/distilbert-base-uncased-finetuned-emotion | 2023-05-07T04:02:49.000Z | [
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"text-classification",
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] | text-classification | takeshiho0531 | null | null | takeshiho0531/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-07T03:39:46 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
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metrics:
- accuracy
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model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
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dataset:
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config: split... | 1,848 | [
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Pendo/finetuned-Sentiment-classfication-BERT-model | 2023-05-07T07:04:32.000Z | [
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] | text-classification | Pendo | null | null | Pendo/finetuned-Sentiment-classfication-BERT-model | 0 | 2 | transformers | 2023-05-07T05:56:16 | ---
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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vvmnnnkv/wine-quality | 2023-05-19T07:56:37.000Z | [
"sklearn",
"tabular-classification",
"dataset:wine-quality",
"dataset:lvwerra/red-wine",
"region:us"
] | tabular-classification | vvmnnnkv | null | null | vvmnnnkv/wine-quality | 1 | 2 | sklearn | 2023-05-07T07:50:26 | ---
tags:
- tabular-classification
- sklearn
datasets:
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widget:
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yagmurery/bert-base-uncased-finetuned-part2-cola | 2023-05-07T14:51:30.000Z | [
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] | text-classification | yagmurery | null | null | yagmurery/bert-base-uncased-finetuned-part2-cola | 0 | 2 | transformers | 2023-05-07T08:51:17 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
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model-index:
- name: bert-base-uncased-finetuned-last-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
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config: cola
... | 2,266 | [
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senihylmz/bert-base-uncased-finetuned-cola | 2023-05-07T20:51:07.000Z | [
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] | text-classification | senihylmz | null | null | senihylmz/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T09:03:35 | ---
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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EcemSimsek/bert-base-uncased-finetuned-cola | 2023-05-07T21:42:13.000Z | [
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"text-classification",
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] | text-classification | EcemSimsek | null | null | EcemSimsek/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T09:22:32 | ---
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
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config: cola
split... | 1,799 | [
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DorukKaraman/bert-base-uncased-finetuned-cola | 2023-05-07T17:54:31.000Z | [
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"bert",
"text-classification",
"generated_from_trainer",
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] | text-classification | DorukKaraman | null | null | DorukKaraman/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T09:43:16 | ---
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:
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config: cola
split... | 1,883 | [
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thomasavare/distilbert-ft-test3 | 2023-05-23T14:41:21.000Z | [
"transformers",
"tf",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
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] | text-classification | thomasavare | null | null | thomasavare/distilbert-ft-test3 | 0 | 2 | transformers | 2023-05-07T10:08:10 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: distilbert-ft-test3
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-... | 1,874 | [
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sharoz/codeparrot-small-custom-functions-dataset-python | 2023-05-07T10:44:48.000Z | [
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"text-generation",
"generated_from_trainer",
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"region:us"
] | text-generation | sharoz | null | null | sharoz/codeparrot-small-custom-functions-dataset-python | 0 | 2 | transformers | 2023-05-07T10:33:36 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: codeparrot-small-custom-functions-dataset-python
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 co... | 5,364 | [
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ilhanemirhan/bert-base-uncased-finetuned-cola | 2023-05-07T20:17:21.000Z | [
"transformers",
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"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | ilhanemirhan | null | null | ilhanemirhan/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T10:52:04 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: bert-base-uncased-finetuned-cola
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 c... | 1,265 | [
[
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keytiong/distilbert-base-uncased-finetuned-emotion | 2023-07-29T14:36:29.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | keytiong | null | null | keytiong/distilbert-base-uncased-finetuned-emotion | 0 | 2 | transformers | 2023-05-07T10:59:04 | ---
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
config: split... | 1,846 | [
[
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mazkooleg/digit-mask-wavlm-base-plus-ft | 2023-05-07T11:43:04.000Z | [
"transformers",
"pytorch",
"wavlm",
"audio-classification",
"generated_from_trainer",
"dataset:mazkooleg/digit_mask_augmented_raw",
"endpoints_compatible",
"region:us"
] | audio-classification | mazkooleg | null | null | mazkooleg/digit-mask-wavlm-base-plus-ft | 0 | 2 | transformers | 2023-05-07T11:07:17 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: wavlm-base-plus-digit-mask-ft
results: []
datasets:
- mazkooleg/digit_mask_augmented_raw
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and... | 1,679 | [
[
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Ayouta300/bert-base-uncased-finetuned-cola | 2023-05-07T20:04:32.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Ayouta300 | null | null | Ayouta300/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T11:14:30 | ---
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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elifcen/bert-pooling-based | 2023-05-07T16:40:37.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | elifcen | null | null | elifcen/bert-pooling-based | 0 | 2 | transformers | 2023-05-07T12:17:15 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-pooling-based
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
split: validation
... | 1,785 | [
[
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kilgaz/bert-base-uncased-finetuned-cola | 2023-05-07T20:04:44.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | kilgaz | null | null | kilgaz/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T12:45:37 | ---
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... | 1,721 | [
[
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takeshiho0531/distilbert-base-uncased-finetuned-clinc | 2023-05-07T15:51:00.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | takeshiho0531 | null | null | takeshiho0531/distilbert-base-uncased-finetuned-clinc | 0 | 2 | transformers | 2023-05-07T13:47:58 | ---
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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... |
ilkekas/bert-base-uncased-mean-pooling-finetuned3-cola | 2023-05-07T14:09:56.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | ilkekas | null | null | ilkekas/bert-base-uncased-mean-pooling-finetuned3-cola | 0 | 2 | transformers | 2023-05-07T14:02:57 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-mean-pooling-finetuned3-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: co... | 2,046 | [
[
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ilkekas/bert-base-uncased-mean-pooling-finetuned4-cola | 2023-05-07T14:53:20.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | ilkekas | null | null | ilkekas/bert-base-uncased-mean-pooling-finetuned4-cola | 0 | 2 | transformers | 2023-05-07T14:23:34 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-mean-pooling-finetuned4-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: co... | 2,137 | [
[
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VitaRin/ProtBert-IS | 2023-05-30T16:54:55.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | VitaRin | null | null | VitaRin/ProtBert-IS | 0 | 2 | transformers | 2023-05-07T14:27:18 |
## ProtBert-IS
### Model Description
ProtBert-IS is a a model fine-tuned on the pre-trained ProtBert model for the purpose of sequence classification. It takes a protein sequence input and predicts whether the protein is soluble or insoluble.
ProtBert-IS has been fine-tuned using 3 different training datasets.
**Fi... | 1,579 | [
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... |
Gursoyy/bert-base-uncased-finetuned-cola | 2023-05-08T17:52:20.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Gursoyy | null | null | Gursoyy/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T14:30:37 | ---
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... | 1,811 | [
[
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-0.030029296875,
-0.051177978515625,
-0.0214... |
p0uy4/bert-base-uncased-finetuned-cola | 2023-05-07T19:10:17.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | p0uy4 | null | null | p0uy4/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T14:32:09 | ---
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
args: cola
metrics:
... | 1,694 | [
[
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VitaRin/ProtBert-BFD-IS | 2023-05-30T16:56:23.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | VitaRin | null | null | VitaRin/ProtBert-BFD-IS | 0 | 2 | transformers | 2023-05-07T14:33:53 |
## ProtBert-BDF-IS
### Model Description
ProtBert-BFD-IS is a a model fine-tuned on the pre-trained ProtBert-BFD model for the purpose of sequence classification. It takes a protein sequence input and predicts whether the protein is soluble or insoluble.
ProtBert-BFD-IS has been fine-tuned using 3 different training... | 1,598 | [
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ardanil7/bert-base-uncased-finetuned-cola | 2023-05-08T18:26:38.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | ardanil7 | null | null | ardanil7/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T15:14:51 | ---
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... | 1,720 | [
[
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takeshiho0531/distilbert-base-uncased-distilled-clinc | 2023-05-07T16:11:37.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | takeshiho0531 | null | null | takeshiho0531/distilbert-base-uncased-distilled-clinc | 0 | 2 | transformers | 2023-05-07T15:59:16 | ---
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... | 1,925 | [
[
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tKah/Textclassification-Bert | 2023-05-17T03:01:48.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | tKah | null | null | tKah/Textclassification-Bert | 0 | 2 | transformers | 2023-05-07T16:39:11 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Textclassification-Bert
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. -->
# Textclassi... | 1,885 | [
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0.00395965576171875,
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OvgumSezen/bert-base-uncased-finetuned-cola | 2023-05-07T18:56:16.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | OvgumSezen | null | null | OvgumSezen/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T16:55:31 | ---
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... | 1,944 | [
[
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uraskargi/bert-base-cased-fine-tuned-4 | 2023-05-07T18:31:24.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | uraskargi | null | null | uraskargi/bert-base-cased-fine-tuned-4 | 0 | 2 | transformers | 2023-05-07T18:28:53 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: uraskargi/bert-base-cased-fine-tuned-4
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. --... | 2,394 | [
[
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hakankara/bert-base-uncased-finetuned-cola-v4 | 2023-05-07T20:09:40.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | hakankara | null | null | hakankara/bert-base-uncased-finetuned-cola-v4 | 0 | 2 | transformers | 2023-05-07T19:25:07 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-v4
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
sp... | 1,818 | [
[
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p0uy4/MeanPoolingBert-finetuned-cola | 2023-05-08T01:40:03.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | p0uy4 | null | null | p0uy4/MeanPoolingBert-finetuned-cola | 0 | 2 | transformers | 2023-05-07T19:53:49 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: MeanPoolingBert-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
... | 1,691 | [
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Hasimcan/bert-base-uncased-finetuned-cola | 2023-05-07T20:18:48.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Hasimcan | null | null | Hasimcan/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T19:59:10 | ---
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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OvgumSezen/bert-base-uncased-common-finetuned-cola | 2023-05-07T20:46:38.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | OvgumSezen | null | null | OvgumSezen/bert-base-uncased-common-finetuned-cola | 0 | 2 | transformers | 2023-05-07T20:03:34 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-common-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
... | 1,752 | [
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ATA05/bert-base-uncased-finetuned-cola | 2023-05-07T20:35:52.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | ATA05 | null | null | ATA05/bert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-07T20:11:47 | ---
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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berkozcelik/bert-base-uncased-lrc-finetuned-cola | 2023-05-07T20:37:45.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | berkozcelik | null | null | berkozcelik/bert-base-uncased-lrc-finetuned-cola | 0 | 2 | transformers | 2023-05-07T20:18:39 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-lrc-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
s... | 1,804 | [
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berkozcelik/bert-base-uncased-bs-finetuned-cola | 2023-05-07T20:47:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | berkozcelik | null | null | berkozcelik/bert-base-uncased-bs-finetuned-cola | 0 | 2 | transformers | 2023-05-07T20:43:20 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-bs-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: cola
sp... | 1,800 | [
[
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AskingAlex/exist-2023-task2 | 2023-05-08T07:02:04.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | AskingAlex | null | null | AskingAlex/exist-2023-task2 | 0 | 2 | transformers | 2023-05-07T20:47:01 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: exist-2023-task2
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. -->
# exist-2023-... | 2,482 | [
[
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guoluo/Bert_class_dropout_point2_1e-08 | 2023-05-07T22:18:04.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | guoluo | null | null | guoluo/Bert_class_dropout_point2_1e-08 | 0 | 2 | transformers | 2023-05-07T22:17:20 | ---
tags:
- generated_from_keras_callback
model-index:
- name: Bert_class_1e-08
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. -->
# Bert_class_1e-08
This model is a fin... | 385,394 | [
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... |
Sleoruiz/roberta-bne-fine-tuned-text-classification-SL-1200samples | 2023-05-08T01:10:02.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Sleoruiz | null | null | Sleoruiz/roberta-bne-fine-tuned-text-classification-SL-1200samples | 0 | 2 | transformers | 2023-05-07T23:23:42 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
- precision
model-index:
- name: roberta-bne-fine-tuned-text-classification-SL-1200samples
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should ... | 2,000 | [
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Falguni/dqn-SpaceInvadersNoFrameskip-v4 | 2023-05-08T00:53:32.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | Falguni | null | null | Falguni/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-05-08T00:53:00 | ---
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
... | 2,688 | [
[
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thuyentruong/dqn-SpaceInvadersNoFrameskip-v4 | 2023-05-08T03:48:50.000Z | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | thuyentruong | null | null | thuyentruong/dqn-SpaceInvadersNoFrameskip-v4 | 0 | 2 | stable-baselines3 | 2023-05-08T01:04:35 | ---
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
... | 2,704 | [
[
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AntoineBlanot/roberta-large-seq-classif | 2023-05-08T02:37:06.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | AntoineBlanot | null | null | AntoineBlanot/roberta-large-seq-classif | 0 | 2 | transformers | 2023-05-08T02:29:08 | ---
{}
---
# roberta-large-3way
This is the checkpoint for [roberta-large](https://huggingface.co/roberta-large) after being trained on a various of tasks inlcuding various of datasets.
The used datasets have been transformed in a binary setting: **non-entailment** and **entailment**
It can be directly used as a NLI... | 363 | [
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chaninder/trashtacks-model-v1 | 2023-05-08T04:43:00.000Z | [
"keras",
"region:us"
] | null | chaninder | null | null | chaninder/trashtacks-model-v1 | 0 | 2 | keras | 2023-05-08T04:42:30 | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | 658 | [
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AskingAlex/exist-2023-task3 | 2023-05-08T09:07:25.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | AskingAlex | null | null | AskingAlex/exist-2023-task3 | 0 | 2 | transformers | 2023-05-08T07:50:59 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: exist-2023-task3
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. -->
# exist-2023-task3
This mo... | 2,492 | [
[
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P3ps/test-trainer-glue-mrpc | 2023-05-08T10:39:45.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | P3ps | null | null | P3ps/test-trainer-glue-mrpc | 0 | 2 | transformers | 2023-05-08T10:32:39 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: test-trainer-glue-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: mrpc
split: validation
... | 2,069 | [
[
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IRI2070/dal-bert-finetuned-address-v1 | 2023-05-08T13:45:12.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | IRI2070 | null | null | IRI2070/dal-bert-finetuned-address-v1 | 0 | 2 | transformers | 2023-05-08T10:37:43 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: dal-bert-finetuned-address-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 remove this comment. -->
# dal-b... | 1,432 | [
[
-0.042999267578125,
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... |
marco-c88/gpt2-large-finetuned-mstatmem_1ep_gpt2_no_valid_austen | 2023-05-08T12:27:14.000Z | [
"transformers",
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | marco-c88 | null | null | marco-c88/gpt2-large-finetuned-mstatmem_1ep_gpt2_no_valid_austen | 0 | 2 | transformers | 2023-05-08T12:08:10 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-large-finetuned-mstatmem_1ep_gpt2_no_valid_austen
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... | 1,305 | [
[
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0.0187530517578125,
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wTao1215/autotrain-it-case-classify-56514130987 | 2023-05-08T14:12:55.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"autotrain",
"unk",
"dataset:wTao1215/autotrain-data-it-case-classify",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | wTao1215 | null | null | wTao1215/autotrain-it-case-classify-56514130987 | 0 | 2 | transformers | 2023-05-08T14:12:12 | ---
tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- wTao1215/autotrain-data-it-case-classify
co2_eq_emissions:
emissions: 0.0206199757216604
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 56514130987
- CO2 Emission... | 1,313 | [
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-0.056091308593... |
AbrahamSanders/opt-2.7b-realtime-chat-v2 | 2023-05-21T19:09:02.000Z | [
"transformers",
"pytorch",
"tensorboard",
"opt",
"text-generation",
"generated_from_trainer",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | AbrahamSanders | null | null | AbrahamSanders/opt-2.7b-realtime-chat-v2 | 0 | 2 | transformers | 2023-05-08T17:12:04 | ---
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: opt-2.7b-realtime-chat-v2
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. -... | 1,746 | [
[
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guoluo/Bert_class_1e-07 | 2023-05-08T18:11:18.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | guoluo | null | null | guoluo/Bert_class_1e-07 | 0 | 2 | transformers | 2023-05-08T18:10:28 | ---
tags:
- generated_from_keras_callback
model-index:
- name: Bert_class_1e-07
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. -->
# Bert_class_1e-07
This model is a fin... | 385,395 | [
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wallacenpj/q05_kaggle_distilbert_inverted_weights | 2023-05-08T22:50:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | wallacenpj | null | null | wallacenpj/q05_kaggle_distilbert_inverted_weights | 0 | 2 | transformers | 2023-05-08T21:50:29 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: q05_kaggle_distilbert_inverted_weights
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread ... | 2,498 | [
[
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501Good/distilbert-base-cased-finetuned-tweeteval | 2023-05-10T08:49:50.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | 501Good | null | null | 501Good/distilbert-base-cased-finetuned-tweeteval | 0 | 2 | transformers | 2023-05-08T21:58:52 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- accuracy
model-index:
- name: distilbert-base-cased-finetuned-tweeteval
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
... | 1,957 | [
[
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chaninder/trashtacks-model-v3 | 2023-05-09T01:00:27.000Z | [
"keras",
"region:us"
] | null | chaninder | null | null | chaninder/trashtacks-model-v3 | 0 | 2 | keras | 2023-05-09T00:59:53 | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | 658 | [
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xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-1 | 2023-05-09T03:52:17.000Z | [
"transformers",
"tf",
"albert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | xinyixiuxiu | null | null | xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-1 | 0 | 2 | transformers | 2023-05-09T01:21:58 | ---
tags:
- generated_from_keras_callback
model-index:
- name: xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-1
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 c... | 1,441 | [
[
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Arm627/NewsRelevanceFinetunedDistilbertBase | 2023-05-09T02:39:41.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Arm627 | null | null | Arm627/NewsRelevanceFinetunedDistilbertBase | 0 | 2 | transformers | 2023-05-09T02:30:15 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: NewsRelevanceFinetunedDistilbertBase
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. -->
... | 1,082 | [
[
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0.0251922607421875,
-0.05401611328125,
-0.04638671875,
-0.056884765625,
-0.0026... |
Arm627/NewsRelevanceFinetunedDistilbertBaseBinary | 2023-05-09T03:44:23.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Arm627 | null | null | Arm627/NewsRelevanceFinetunedDistilbertBaseBinary | 0 | 2 | transformers | 2023-05-09T03:35:27 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: NewsRelevanceFinetunedDistilbertBaseBinary
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.... | 1,094 | [
[
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xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-2 | 2023-05-09T06:37:59.000Z | [
"transformers",
"tf",
"albert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | xinyixiuxiu | null | null | xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-2 | 0 | 2 | transformers | 2023-05-09T06:02:09 | ---
tags:
- generated_from_keras_callback
model-index:
- name: xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-2
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 c... | 1,441 | [
[
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Cynthiaiii4/Text_classification_model_blu | 2023-05-10T05:58:38.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Cynthiaiii4 | null | null | Cynthiaiii4/Text_classification_model_blu | 0 | 2 | transformers | 2023-05-09T06:41:39 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Text_classification_model_blu
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 c... | 1,410 | [
[
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0.020751953125,
-0.051422119140625,
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-0.02... |
xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-3 | 2023-05-09T07:25:13.000Z | [
"transformers",
"tf",
"albert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | xinyixiuxiu | null | null | xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-3 | 0 | 2 | transformers | 2023-05-09T06:49:25 | ---
tags:
- generated_from_keras_callback
model-index:
- name: xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-3
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 c... | 1,441 | [
[
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zxy1231/tm_simcse_zh_model | 2023-05-09T06:59:09.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | zxy1231 | null | null | zxy1231/tm_simcse_zh_model | 0 | 2 | sentence-transformers | 2023-05-09T06:50:51 | ---
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 768 dimensional dense vector space and can be used for tasks like cluster... | 3,795 | [
[
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Cynthiaiii4/Text_classification_model_bbc | 2023-05-09T06:57:06.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Cynthiaiii4 | null | null | Cynthiaiii4/Text_classification_model_bbc | 0 | 2 | transformers | 2023-05-09T06:52:56 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Text_classification_model_bbc
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 c... | 1,410 | [
[
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Intel/bert-large-uncased-rte-int8-dynamic | 2023-05-10T09:35:58.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"rte",
"glue",
"torchdistill",
"nlp",
"int8",
"neural-compressor",
"Intel® Neural Compressor",
"text-classfication",
"PostTrainingDynamic",
"en",
"dataset:rte",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Intel | null | null | Intel/bert-large-uncased-rte-int8-dynamic | 0 | 2 | transformers | 2023-05-09T07:57:28 | ---
language: en
tags:
- bert
- rte
- glue
- torchdistill
- nlp
- int8
- neural-compressor
- Intel® Neural Compressor
- text-classfication
- PostTrainingDynamic
license: apache-2.0
datasets:
- rte
metrics:
- f1
---
# INT8 bert-large-uncased-rte-int8-dynamic
## Post-training dynamic quantization
### PyTorch
This is ... | 1,011 | [
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xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-4 | 2023-05-09T08:36:38.000Z | [
"transformers",
"tf",
"albert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | xinyixiuxiu | null | null | xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-4 | 0 | 2 | transformers | 2023-05-09T08:00:50 | ---
tags:
- generated_from_keras_callback
model-index:
- name: xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-4
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 c... | 1,441 | [
[
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xqchq/test-trainer | 2023-05-11T09:24:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"onnx",
"bert",
"text-classification",
"generated_from_trainer",
"zh",
"dataset:seamew/THUCNewsText",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | xqchq | null | null | xqchq/test-trainer | 0 | 2 | transformers | 2023-05-09T08:30:10 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: test-trainer
results: []
datasets:
- seamew/THUCNewsText
language:
- zh
---
<!-- 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... | 1,076 | [
[
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0.0146331787109375,
-0.057281494140625,
-0.020477294921875,
-0.038848876953... |
Purus15987/English_Telugu_Translation | 2023-05-10T05:09:15.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:samanantar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | Purus15987 | null | null | Purus15987/English_Telugu_Translation | 0 | 2 | transformers | 2023-05-09T08:48:48 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samanantar
model-index:
- name: English_Telugu_Translation
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 c... | 1,032 | [
[
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0.0... |
directtt/wine-reviews-distilbert | 2023-05-09T10:46:50.000Z | [
"transformers",
"tf",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | directtt | null | null | directtt/wine-reviews-distilbert | 0 | 2 | transformers | 2023-05-09T09:11:41 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: wine-reviews-distilbert
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. -->
# wine-revie... | 1,905 | [
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-0.05828857421875... |
alexandrualexandru/my-final-v1-text-to-sparql-combined-dataset-t5-base-2023-05-09_09-13 | 2023-05-09T12:33:17.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | alexandrualexandru | null | null | alexandrualexandru/my-final-v1-text-to-sparql-combined-dataset-t5-base-2023-05-09_09-13 | 0 | 2 | transformers | 2023-05-09T09:17:02 | ---
tags:
- generated_from_trainer
model-index:
- name: my-final-v1-text-to-sparql-combined-dataset-t5-base-2023-05-09_09-13
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 co... | 2,252 | [
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-0.050628662109375,
... |
Neutralzz/BiLLa-7B-SFT | 2023-05-12T15:18:24.000Z | [
"transformers",
"pytorch",
"llama",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | Neutralzz | null | null | Neutralzz/BiLLa-7B-SFT | 65 | 2 | transformers | 2023-05-09T14:26:02 | ---
license: apache-2.0
---
# BiLLa: A Bilingual LLaMA with Enhanced Reasoning Ability
BiLLa is an open-source reasoning-enhanced bilingual LLaMA model. The main features are:
- Greatly improve the ability of Chinese language modeling, and minimize the damage to the original English ability of LLaMA;
- During the tr... | 2,184 | [
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xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-5 | 2023-05-09T16:21:49.000Z | [
"transformers",
"tf",
"albert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | xinyixiuxiu | null | null | xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-5 | 0 | 2 | transformers | 2023-05-09T15:45:59 | ---
tags:
- generated_from_keras_callback
model-index:
- name: xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-5
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 c... | 1,441 | [
[
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-0.039764404296875,
-0.055419921875,
... |
hr-elrond/autotrain-p2_finbert_training_100-56875131853 | 2023-05-09T16:23:24.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"autotrain",
"unk",
"dataset:hr-elrond/autotrain-data-p2_finbert_training_100",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | hr-elrond | null | null | hr-elrond/autotrain-p2_finbert_training_100-56875131853 | 0 | 2 | transformers | 2023-05-09T16:22:38 | ---
tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- hr-elrond/autotrain-data-p2_finbert_training_100
co2_eq_emissions:
emissions: 0.2967273355715001
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 56875131853
- CO2 Emiss... | 1,195 | [
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-0.038238525390625,
-0.05... |
harvinder676/bert-news | 2023-05-09T18:02:03.000Z | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | harvinder676 | null | null | harvinder676/bert-news | 0 | 2 | transformers | 2023-05-09T17:44:52 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-news
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-news
This model is ... | 1,326 | [
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syndi-models/bart-large-cnn | 2023-01-24T16:28:55.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"bart",
"text2text-generation",
"summarization",
"en",
"dataset:cnn_dailymail",
"arxiv:1910.13461",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | summarization | syndi-models | null | null | syndi-models/bart-large-cnn | 0 | 2 | transformers | 2023-05-09T18:54:09 | ---
language:
- en
tags:
- summarization
license: mit
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
datasets:
- cnn_dailymail
model-index:
- name: facebook/bart-large-cnn
results:
- task:
type: summarization
name: Summarization
dataset:
name: cnn_dailymail
type: cnn_dai... | 5,999 | [
[
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0.032... |
MFrazz/distilbert-base-uncased-finetuned-spam | 2023-06-11T18:38:19.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:sms_spam",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | MFrazz | null | null | MFrazz/distilbert-base-uncased-finetuned-spam | 0 | 2 | transformers | 2023-05-09T19:04:24 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- sms_spam
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-spam
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: sms_spam
type: sms_spam
config: plain... | 1,905 | [
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syndi-models/ms-marco-MiniLM-L-12-v2 | 2021-08-05T08:39:01.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | syndi-models | null | null | syndi-models/ms-marco-MiniLM-L-12-v2 | 0 | 2 | transformers | 2023-05-09T19:06:32 | ---
license: apache-2.0
---
# Cross-Encoder for MS Marco
This model was trained on the [MS Marco Passage Ranking](https://github.com/microsoft/MSMARCO-Passage-Ranking) task.
The model can be used for Information Retrieval: Given a query, encode the query will all possible passages (e.g. retrieved with ElasticSearch).... | 3,233 | [
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bpben/en_imdb_sent_cnn | 2023-05-09T19:58:32.000Z | [
"spacy",
"text-classification",
"en",
"region:us"
] | text-classification | bpben | null | null | bpben/en_imdb_sent_cnn | 0 | 2 | spacy | 2023-05-09T19:58:25 | ---
tags:
- spacy
- text-classification
language:
- en
model-index:
- name: en_imdb_sent_cnn
results: []
---
| Feature | Description |
| --- | --- |
| **Name** | `en_imdb_sent_cnn` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.4.4,<3.5.0` |
| **Default Pipeline** | `textcat` |
| **Components** | `textcat` |
| **Vect... | 944 | [
[
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... |
jules654/ppo-Huggy | 2023-05-09T21:32:18.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | reinforcement-learning | jules654 | null | null | jules654/ppo-Huggy | 0 | 2 | ml-agents | 2023-05-09T21:32:11 | ---
library_name: ml-agents
tags:
- Huggy
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
---
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (... | 933 | [
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Abdeldjalil21/djalil-base-sentiment-model-10k-samples | 2023-05-12T18:29:32.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Abdeldjalil21 | null | null | Abdeldjalil21/djalil-base-sentiment-model-10k-samples | 0 | 2 | transformers | 2023-05-09T23:59:57 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: djalil-base-sentiment-model-10k-samples
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... | 1,223 | [
[
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0.018829345703125,
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-0.04949951171875,
-0.00... |
Consensus/e5-base | 2023-05-10T00:04:56.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | Consensus | null | null | Consensus/e5-base | 0 | 2 | sentence-transformers | 2023-05-10T00:03:04 | ---
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 768 dimensional dense vector space and can be used for tasks like cluste... | 2,961 | [
[
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-0.042633056640625,
-0.053070068359375,
-... |
paulokewunmi/claim_extractor_distilbert | 2023-05-10T03:00:21.000Z | [
"transformers",
"tf",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | paulokewunmi | null | null | paulokewunmi/claim_extractor_distilbert | 0 | 2 | transformers | 2023-05-10T00:36:59 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: claim_extractor_distilbert
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. -->
# claim_e... | 2,036 | [
[
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-0.... |
jkefeli/PrimaryGleasonBERT | 2023-05-10T16:16:55.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | jkefeli | null | null | jkefeli/PrimaryGleasonBERT | 1 | 2 | transformers | 2023-05-10T01:58:00 | To use the model, add the following from the transformers package:
(1) ClinicalBERT tokenizer:
tokenizer = AutoTokenizer.from_pretrained("emilyalsentzer/Bio_ClinicalBERT")
(2) Model type:
model = BertForSequenceClassification.from_pretrained(checkpoint_directory, num_labels=3)
| 285 | [
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xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-6 | 2023-05-10T02:38:22.000Z | [
"transformers",
"tf",
"albert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | xinyixiuxiu | null | null | xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-6 | 0 | 2 | transformers | 2023-05-10T02:01:47 | ---
tags:
- generated_from_keras_callback
model-index:
- name: xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-6
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 c... | 1,441 | [
[
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hermanshid/distilbert-base-uncased-finetuned-sarcasm | 2023-05-11T09:37:45.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | hermanshid | null | null | hermanshid/distilbert-base-uncased-finetuned-sarcasm | 0 | 2 | transformers | 2023-05-10T04:09:48 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-sarcasm
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... | 5,073 | [
[
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xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-5-1 | 2023-05-11T08:36:29.000Z | [
"transformers",
"tf",
"albert",
"text-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | text-classification | xinyixiuxiu | null | null | xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-5-1 | 0 | 2 | transformers | 2023-05-10T04:57:48 | ---
tags:
- generated_from_keras_callback
model-index:
- name: xinyixiuxiu/albert-xxlarge-v2-SST2-incremental_pre_training-epoch1-5-1
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... | 1,445 | [
[
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0.0148773193359375,
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-0.0400390625,
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-0.... |
Winnie-Kay/Sentiment-Analysis-Roberta-bases | 2023-05-11T04:00:08.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | Winnie-Kay | null | null | Winnie-Kay/Sentiment-Analysis-Roberta-bases | 0 | 2 | transformers | 2023-05-10T06:12:14 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: Finetuned_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 comment. -->
# Finetuned_bert_model
... | 1,420 | [
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IRI2070/dal-sbert-address-v1 | 2023-05-10T08:14:52.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | sentence-similarity | IRI2070 | null | null | IRI2070/dal-sbert-address-v1 | 0 | 2 | sentence-transformers | 2023-05-10T08:14:30 | ---
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 768 dimensional dense vector space and can be used for tasks like cluste... | 3,785 | [
[
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babs001seye/distilbert-base-uncased-finetuned-cola | 2023-05-10T09:52:44.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | babs001seye | null | null | babs001seye/distilbert-base-uncased-finetuned-cola | 0 | 2 | transformers | 2023-05-10T09:21:18 | ---
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
... | 2,042 | [
[
-0.02166748046875,
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0.01096343994140625,
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-0.0625,
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ctu-aic/xlm-roberta-large-squad2-csfever_v2-f1 | 2023-05-10T22:01:33.000Z | [
"sentence-transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"cs",
"dataset:ctu-aic/csfever_v2",
"license:cc-by-sa-4.0",
"region:us"
] | text-classification | ctu-aic | null | null | ctu-aic/xlm-roberta-large-squad2-csfever_v2-f1 | 0 | 2 | sentence-transformers | 2023-05-10T09:24:30 | ---
license: cc-by-sa-4.0
datasets:
- ctu-aic/csfever_v2
language:
- cs
library_name: sentence-transformers
pipeline_tag: text-classification
---
# Model Card for xlm-roberta-large-squad2-csfever_v2-f1
## Model Details
Model for natural language inference trained as a part of bachelor thesis.
## Uses
### Transform... | 921 | [
[
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0.037109375,
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0.04052734375,
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-0.050079345703125,
0.0... |
rishabhjain16/whisper_medium_to_myst_pf_ot50 | 2023-05-15T14:11:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | rishabhjain16 | null | null | rishabhjain16/whisper_medium_to_myst_pf_ot50 | 0 | 2 | transformers | 2023-05-10T09:43:08 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-medium
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: rishabhjain16/infer_so_chinese
type: rishabhjain16/infer_so_chinese
... | 4,114 | [
[
-0.035858154296875,
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... |
rishabhjain16/whisper_medium_en_to_myst_pf_ot100 | 2023-05-12T15:05:57.000Z | [
"transformers",
"pytorch",
"tensorboard",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | rishabhjain16 | null | null | rishabhjain16/whisper_medium_en_to_myst_pf_ot100 | 0 | 2 | transformers | 2023-05-10T09:45:26 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-medium.en
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: rishabhjain16/infer_myst
type: rishabhjain16/infer_myst
config: ... | 4,126 | [
[
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0.02728271484375,
-0.052734375,
-0.0443115234375,
-0.04547119140625,
-0.0184783935... |
ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision | 2023-05-10T22:01:34.000Z | [
"sentence-transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"cs",
"dataset:ctu-aic/csfever_v2",
"license:cc-by-sa-4.0",
"region:us"
] | text-classification | ctu-aic | null | null | ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision | 0 | 2 | sentence-transformers | 2023-05-10T09:54:21 | ---
license: cc-by-sa-4.0
datasets:
- ctu-aic/csfever_v2
language:
- cs
library_name: sentence-transformers
pipeline_tag: text-classification
---
# Model Card for xlm-roberta-large-squad2-csfever_v2-precision
## Model Details
Model for natural language inference trained as a part of bachelor thesis.
## Uses
### Tr... | 949 | [
[
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0.039642333984375,
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-0.042083740234375,
-0.052581787109... |
ctu-aic/xlm-roberta-large-squad2-csfever_v2-07 | 2023-05-10T22:01:33.000Z | [
"sentence-transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"cs",
"dataset:ctu-aic/csfever_v2",
"license:cc-by-sa-4.0",
"region:us"
] | text-classification | ctu-aic | null | null | ctu-aic/xlm-roberta-large-squad2-csfever_v2-07 | 0 | 2 | sentence-transformers | 2023-05-10T09:55:21 | ---
license: cc-by-sa-4.0
datasets:
- ctu-aic/csfever_v2
language:
- cs
library_name: sentence-transformers
pipeline_tag: text-classification
---
# Model Card for xlm-roberta-large-squad2-csfever_v2-07
## Model Details
Model for natural language inference trained as a part of bachelor thesis.
## Uses
### Transform... | 921 | [
[
-0.0188751220703125,
-0.0504150390625,
0.019561767578125,
0.0369873046875,
-0.00353240966796875,
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0.041778564453125,
-0.050445556640625,
-0.040496826171875,
-0.05096435546875... |
Cynthiaiii4/Text_classification_model_blu_v1 | 2023-05-10T13:56:04.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Cynthiaiii4 | null | null | Cynthiaiii4/Text_classification_model_blu_v1 | 0 | 2 | transformers | 2023-05-10T11:27:56 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Text_classification_model_blu_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 remove this comment. -->
# Te... | 1,061 | [
[
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0.02197265625,
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-0.043243408203125,
-0.041015625,
-0.01004... |
guyyanko/split-3-hebrew-trc-alephbert-base-EMP | 2023-05-10T13:43:19.000Z | [
"transformers",
"pytorch",
"TemporalRelationClassification",
"text-classification",
"custom_code",
"he",
"dataset:guyyanko/hebrew-trc-special-markers",
"region:us"
] | text-classification | guyyanko | null | null | guyyanko/split-3-hebrew-trc-alephbert-base-EMP | 0 | 2 | transformers | 2023-05-10T11:30:05 | ---
datasets:
- guyyanko/hebrew-trc-special-markers
language:
- he
---
```python
from transformers import TextClassificationPipeline
from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
class TemporalRelationClassificationPipeline(TextClassificationPipeline):
def check_model_type(... | 915 | [
[
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0.0149078369140625,
0.021636962890625,
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0.017669677734375,
-0.048370361328125,
-0.025421142578125,
-0.064392089843... |
Mizuiro-sakura/deberta-v2-large-japanese-finetuned-ner | 2023-07-21T14:10:02.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"token-classification",
"deberta",
"named entity recognition",
"named-entity-recognition",
"ner",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:oscar",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"regio... | token-classification | Mizuiro-sakura | null | null | Mizuiro-sakura/deberta-v2-large-japanese-finetuned-ner | 0 | 2 | transformers | 2023-05-10T13:22:23 | ---
license: mit
language: ja
library_name: transformers
tags:
- pytorch
- deberta
- deberta-v2
- named entity recognition
- named-entity-recognition
- ner
datasets:
- wikipedia
- cc100
- oscar
metrics:
- accuracy
---
# このモデルはdeberta-v2-large-japaneseをファインチューニングして固有表現抽出（NER）... | 2,377 | [
[
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0.021270751953125,
-0.03582763671875,
-0.03167724609375,
-0.0677490234375,
0.01393... |
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