Instructions to use textattack/roberta-base-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-imdb") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76de0431e345214cdc3943631c61a7340ec4af9a2c4daffa810fd3df35ded303
- Size of remote file:
- 501 MB
- SHA256:
- 666a7635d2d4040150da0c1050ea78ff2f3c7f642d1ad10b8f24e6cb44bab80d
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