Instructions to use 96harsh56/bert_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 96harsh56/bert_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="96harsh56/bert_test2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("96harsh56/bert_test2") model = AutoModelForQuestionAnswering.from_pretrained("96harsh56/bert_test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aeb9382c5dbc25ee666f5e6f9be2472784223e034c5d4389c364a75f50361c7d
- Size of remote file:
- 436 MB
- SHA256:
- ae1e2e550c1946454cdcf35747ae4c53f200e7214618a161b398fa294ad75493
路
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