Instructions to use AliBagherz/qa-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AliBagherz/qa-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AliBagherz/qa-small")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AliBagherz/qa-small") model = AutoModelForQuestionAnswering.from_pretrained("AliBagherz/qa-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb0bfc8a572f155dabaa9e8b9e80d026dcafcc22b121f31508becd20af948325
- Size of remote file:
- 649 MB
- SHA256:
- 3ba59e6b6f5abed21eedf9312875ca98c2646979254f5151b2b74204463c43da
路
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