Instructions to use nbroad/deb-base-gc2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/deb-base-gc2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nbroad/deb-base-gc2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nbroad/deb-base-gc2") model = AutoModelForQuestionAnswering.from_pretrained("nbroad/deb-base-gc2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7874523cf96e04eb37bdc9ae9a9a7bb3bf4d0c4312218030ceb1c06702c08a8
- Size of remote file:
- 2.67 kB
- SHA256:
- f6a4bcccbedcfb63e894fd1ddd7389c03b5d6de8560dfb7ba28f0b78c2825993
路
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