Instructions to use sundea/Work-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sundea/Work-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sundea/Work-QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sundea/Work-QA") model = AutoModelForQuestionAnswering.from_pretrained("sundea/Work-QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09434a0767fcd945da734408584aca1520b4647ac3c7931b3bd69ba9a1d82c7d
- Size of remote file:
- 407 MB
- SHA256:
- e7d9839a537515da83c5215563131d3e2cd27bad423adb724813026754bfa5d1
路
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