Instructions to use mtreviso/roberta-base-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtreviso/roberta-base-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mtreviso/roberta-base-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mtreviso/roberta-base-imdb") model = AutoModelForSequenceClassification.from_pretrained("mtreviso/roberta-base-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37ba318746c77d9e23a9b04b7764213724bf7cc45071a4282adad5514c5d3fea
- Size of remote file:
- 1.97 kB
- SHA256:
- 37f6e5996d43ce5a597d7e8a3b2ec43fb2d935f732dc2b7ef09b669a41b7e701
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