Instructions to use MusYW/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MusYW/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="MusYW/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("MusYW/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("MusYW/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ae47ddf7413fa8a245175ec7f71c7256960c56ad6c6d65968bc87afc5317d90
- Size of remote file:
- 5.3 kB
- SHA256:
- 2631e3d3210be58c494598e2251ff1b295572ed573e71d8fbe48d83823bcbca8
路
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