Instructions to use danielcd99/BERT_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielcd99/BERT_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danielcd99/BERT_imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danielcd99/BERT_imdb") model = AutoModelForSequenceClassification.from_pretrained("danielcd99/BERT_imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d64dba0b71a0a81a8473b8ab66d56fbd8d1f87a772469a75b4658cbbb01ea11
- Size of remote file:
- 66.3 MB
- SHA256:
- 6f1314f123ac922d7d0f2bd5bd17f1734e167d90b2256c34963228bc63f6a4cb
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