Instructions to use ModelTC/bert-base-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bert-base-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ModelTC/bert-base-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ModelTC/bert-base-squad") model = AutoModelForQuestionAnswering.from_pretrained("ModelTC/bert-base-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad67c716cb983235221256badb0faf761848acc6a52545bb87d92849bb3354b9
- Size of remote file:
- 436 MB
- SHA256:
- 1f6d66e22e4a39b6f140d3e906511c6311348791f26aee69bbb1d073b4e0e21d
路
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