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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 531c8b4a7f1998b414ec0ce84313b7c439d61911f9a2414bccfe084dacac0fba
- Size of remote file:
- 445 MB
- SHA256:
- 6a05958ffed4a3bdbad5686226b88c000ca3e20ae0ae6168340e199e34ae5808
路
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