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
Commit ·
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Parent(s): 5dae42a
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d864a49900962d8f95ce6df87e68fd35dd72f31d92f54ce823d06e1ebd24bfd
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size 437942328
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