Instructions to use nbroad/splinter-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/splinter-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nbroad/splinter-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nbroad/splinter-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("nbroad/splinter-base-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45dca742e89126198dbe1e1b9ddacf18fe446f61839dbf81298bd9ab6fa1344c
- Size of remote file:
- 3.25 kB
- SHA256:
- bc3e4760362e8fd809f12f5619051a2bae958d58481a2f28aec87f08c1a674e8
路
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