Instructions to use textattack/distilbert-base-uncased-WNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/distilbert-base-uncased-WNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/distilbert-base-uncased-WNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/distilbert-base-uncased-WNLI") model = AutoModelForSequenceClassification.from_pretrained("textattack/distilbert-base-uncased-WNLI") - Notebooks
- Google Colab
- Kaggle
Update training_args.bin
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:01e099d16c07907bb8dc29308781b94d06939ae108d2f6a3fc6912e51a39b5a4
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size 1058
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