Instructions to use Ermira/qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ermira/qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ermira/qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ermira/qa_model") model = AutoModelForQuestionAnswering.from_pretrained("Ermira/qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 606609086c9d7a91f53a338f2f76142badef965fbeb8558a6acd637a848623fa
- Size of remote file:
- 17.1 MB
- SHA256:
- c7f3a89a0df2decbf44d39863918dae93a8914c3701e389b6c1fa2eb420b4ca1
路
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