Instructions to use addy88/perceiver_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/perceiver_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addy88/perceiver_imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("addy88/perceiver_imdb") model = AutoModelForSequenceClassification.from_pretrained("addy88/perceiver_imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43961bdf65f477cd956aa9a913dd39af440acb746c35c5eca699791561c68cb1
- Size of remote file:
- 825 MB
- SHA256:
- 71c4bac5eea443167edc591da7664d6a7d834018a1d78c6f38151e8d197565d9
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