Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use sciarrilli/distilbert-base-uncased-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sciarrilli/distilbert-base-uncased-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sciarrilli/distilbert-base-uncased-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sciarrilli/distilbert-base-uncased-cola") model = AutoModelForSequenceClassification.from_pretrained("sciarrilli/distilbert-base-uncased-cola") - Notebooks
- Google Colab
- Kaggle
Align label mapping with cola config of glue dataset
#1
by lewtun HF Staff - opened
- config.json +10 -2
config.json
CHANGED
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@@ -21,5 +21,13 @@
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.12.3",
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"vocab_size": 30522
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.12.3",
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"vocab_size": 30522,
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"label2id": {
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"unacceptable": 0,
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"acceptable": 1
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},
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"id2label": {
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"0": "unacceptable",
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"1": "acceptable"
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}
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}
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