Instructions to use aychang/roberta-base-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aychang/roberta-base-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aychang/roberta-base-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aychang/roberta-base-imdb") model = AutoModelForSequenceClassification.from_pretrained("aychang/roberta-base-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db30172539d5f5b2507073a88ec526ef8c934002ca07ab19209f787c937355cb
- Size of remote file:
- 499 MB
- SHA256:
- 22a774239b06ab74e5077174cbbcd71ffba586b4a39f2e48126bcb16d6aa83d9
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