Instructions to use Ahmed007/Close_book_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmed007/Close_book_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ahmed007/Close_book_2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ahmed007/Close_book_2") model = AutoModelForQuestionAnswering.from_pretrained("Ahmed007/Close_book_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64d9e1977c24fa963cab1802cb3f50c8c864688322725546fc45cdc2c1ed3de6
- Size of remote file:
- 3.31 kB
- SHA256:
- f1024cd3f9b631ce19b3042ea7c03ed823757486ddb68596f0779904933c3740
路
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