Instructions to use textattack/bert-base-uncased-CoLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/bert-base-uncased-CoLA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/bert-base-uncased-CoLA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/bert-base-uncased-CoLA") model = AutoModelForSequenceClassification.from_pretrained("textattack/bert-base-uncased-CoLA") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:daf55ee85f1607a78c851d0e7ff6fc444b421b436cface3bf521478c22d0beb8
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size 437985387
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