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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dcce7d79b1b6c701e23bec49fc52db6ffe3665dfd2b4771cc1885d64cf705bf
- Size of remote file:
- 431 MB
- SHA256:
- 033c74f8ccfafc622d44bb73ee67ed454a502c21487ae16db4722d0508ccb4d5
路
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