Instructions to use cglez/bert-base-uncased-ft-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cglez/bert-base-uncased-ft-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cglez/bert-base-uncased-ft-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cglez/bert-base-uncased-ft-imdb") model = AutoModelForSequenceClassification.from_pretrained("cglez/bert-base-uncased-ft-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature070af03
-
Upload tensorboard folder
Verified signature8394ff5 -
Upload BertForSequenceClassification
Verified signature6ee3fa8 -
Upload tokenizer
Verified signatureeac7e7a -
Initial commit
Verified signatureae6e951 -
initial commit
Verified signature754c68b