Instructions to use nateraw/bert-base-uncased-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/bert-base-uncased-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nateraw/bert-base-uncased-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nateraw/bert-base-uncased-imdb") model = AutoModelForSequenceClassification.from_pretrained("nateraw/bert-base-uncased-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 216b1429711e3e7e4aa8f361b74201dd907d25e4bf93d61aad570f03aa947133
- Size of remote file:
- 438 MB
- SHA256:
- 2281f074871cd3260db8feddc19a00efdf76b0148e29b9215ba5a30f4520870e
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