Text Classification
Transformers
PyTorch
TensorBoard
data2vec-text
Generated from Trainer
Eval Results (legacy)
Instructions to use mrm8488/data2vec-text-base-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/data2vec-text-base-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/data2vec-text-base-finetuned-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/data2vec-text-base-finetuned-mnli") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/data2vec-text-base-finetuned-mnli") - Notebooks
- Google Colab
- Kaggle
Align label mapping with mnli config of glue dataset
#1
by lewtun HF Staff - opened
- config.json +7 -7
config.json
CHANGED
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@@ -11,16 +11,16 @@
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "
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"1": "
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"2": "
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"
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"
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"
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},
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"layer_norm_eps": 1e-05,
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"mask_token_id": 50264,
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@@ -37,4 +37,4 @@
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "entailment",
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"1": "neutral",
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"2": "contradiction"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"entailment": 0,
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"neutral": 1,
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"contradiction": 2
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},
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"layer_norm_eps": 1e-05,
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| 26 |
"mask_token_id": 50264,
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| 37 |
"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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+
}
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