Instructions to use textattack/bert-base-uncased-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/bert-base-uncased-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/bert-base-uncased-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/bert-base-uncased-imdb") model = AutoModelForSequenceClassification.from_pretrained("textattack/bert-base-uncased-imdb") - Inference
- 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 sha256:6cf58682775c7bea59ece37f54c0c9efbeafc6eafbe639c6a268e00fb83b997b
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size 437985387
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