Instructions to use iamholmes/cuad_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamholmes/cuad_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="iamholmes/cuad_test")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("iamholmes/cuad_test") model = AutoModelForQuestionAnswering.from_pretrained("iamholmes/cuad_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 010d1465ae854135df152331422541dc25366c1f066fc68ec1d6705247375209
- Size of remote file:
- 496 MB
- SHA256:
- 06d31f5b95d00a03ee0068986f95503b89361875cc56bc204702829f9ee5610e
路
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