Instructions to use krisha05/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krisha05/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krisha05/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krisha05/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("krisha05/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47b3ca21a24e0a6d0b7ab47f6451de7d43393cbec5f7e9746116187df51ebd4b
- Size of remote file:
- 265 MB
- SHA256:
- 35d86a9f2cd9a696a72230356982a16bab284f32281727c4748c760fa3562ebb
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