Instructions to use parth0908/bert-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parth0908/bert-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="parth0908/bert-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("parth0908/bert-squad2") model = AutoModelForQuestionAnswering.from_pretrained("parth0908/bert-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e69210a57d63638058a31398dc05ba04e7f112f412f0a0f988fcaf0c6c7cf9f
- Size of remote file:
- 5.3 kB
- SHA256:
- 52433b75caaa3d2c7682b979093687ec5c5661c49fa8037b26e4f71163b9706f
路
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