Instructions to use piecake/model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use piecake/model_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="piecake/model_2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("piecake/model_2") model = AutoModelForQuestionAnswering.from_pretrained("piecake/model_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4cba3068b0d024a043da5f23b82ff912d0b46e17af0248d41793d27d552031e
- Size of remote file:
- 407 MB
- SHA256:
- 13c35b797e7ea20e42e1001c69e26e544d9e758205bac2652fa6ff12871b72e5
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