Instructions to use zehralx/qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zehralx/qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="zehralx/qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("zehralx/qa_model") model = AutoModelForQuestionAnswering.from_pretrained("zehralx/qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 510260e4cfd17e7894d7e6d5cf307159359ae85755d7f9674d8cd6f2ee18ccb0
- Size of remote file:
- 4.73 kB
- SHA256:
- b42e54b4daff6aafe707b588012ee3dbd8f00182ddea1a959f24a7a75a7d198f
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