Instructions to use ModelTC/bert-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bert-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ModelTC/bert-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ModelTC/bert-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("ModelTC/bert-base-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35bc6f3ed1c23399e6b0885df69daea3d6ca803f973d0cd11f242f6be5b3600c
- Size of remote file:
- 436 MB
- SHA256:
- cf03de0bc24dbefa709bef929653b2524b856bef692d247c2edc4fed933321a0
路
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