Instructions to use longbach2811/experiements with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longbach2811/experiements with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="longbach2811/experiements")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("longbach2811/experiements") model = AutoModelForQuestionAnswering.from_pretrained("longbach2811/experiements", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 533c51c8af888f306c174f2c918eb51a1e46de63a8914b7566f2e7fce2e405aa
- Size of remote file:
- 4.6 kB
- SHA256:
- a328636cf4fae86766eee49a4a1df2d943a1688fb4e2c67a014ac50c8a6db4e0
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