Instructions to use vgimenezproguide/test_version with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vgimenezproguide/test_version with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vgimenezproguide/test_version")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vgimenezproguide/test_version") model = AutoModelForQuestionAnswering.from_pretrained("vgimenezproguide/test_version") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c873d046fdff8eb0fce329734ee36410ecf10853c1e80f6aa3203c5038503a98
- Size of remote file:
- 496 MB
- SHA256:
- d29c01502e03a033b85595e7fb4ae17e84e3011bcfb36f8b242cb116263428a8
路
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