Instructions to use ron-the-code/my_awesome_qa_model_BERT_Tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ron-the-code/my_awesome_qa_model_BERT_Tutorial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ron-the-code/my_awesome_qa_model_BERT_Tutorial")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ron-the-code/my_awesome_qa_model_BERT_Tutorial") model = AutoModelForQuestionAnswering.from_pretrained("ron-the-code/my_awesome_qa_model_BERT_Tutorial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72496eb6a834736a4403886e8a8f40fc47218e3cd84116a79947191f14e3c3eb
- Size of remote file:
- 265 MB
- SHA256:
- 7b0ded36609bed28c407988a1fd79ada8a29b8d57d49a8135c6c4797677802ff
路
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