Instructions to use sillon/huggingface-tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sillon/huggingface-tutorial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sillon/huggingface-tutorial")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sillon/huggingface-tutorial") model = AutoModelForQuestionAnswering.from_pretrained("sillon/huggingface-tutorial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc07452273265a20c2680ff72a75b71f5d0e7bfbc7924fff32d67e3ca0d54c4a
- Size of remote file:
- 431 MB
- SHA256:
- 638f4e20942027d35d1e5304a2432de1a14c812ac4b2fe73295c35ad97ff6507
路
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