Instructions to use langmatthias/ex06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use langmatthias/ex06 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="langmatthias/ex06")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("langmatthias/ex06") model = AutoModelForQuestionAnswering.from_pretrained("langmatthias/ex06") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bb5941265b1981091f7ed7e2e81b113c5435caa774b3bd4e03747180c0ff1e1
- Size of remote file:
- 3.52 kB
- SHA256:
- f66acec82094efd39d458a8fe525abc7cbca6c8dbd3bc287b3b4a2f983e6fff3
路
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