Instructions to use Jim1892/IMDB-BERT-Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jim1892/IMDB-BERT-Finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jim1892/IMDB-BERT-Finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jim1892/IMDB-BERT-Finetuned") model = AutoModelForSequenceClassification.from_pretrained("Jim1892/IMDB-BERT-Finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a41d1b1fe0ee2cac8e8451243d8cfca70df11731e69024b6dbf9c3e25d64702a
- Size of remote file:
- 5.2 kB
- SHA256:
- a47c3058f4c413d3836b774f831c54bc4fe970ae2e19f4eb994913de1f37b1cf
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