Instructions to use Sif10/QA_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sif10/QA_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Sif10/QA_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Sif10/QA_model") model = AutoModelForQuestionAnswering.from_pretrained("Sif10/QA_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f4dee91ce8f4d616439499444288eac22c567f6c9f3c50f95dba653414c211d
- Size of remote file:
- 4.92 kB
- SHA256:
- 2ad0e436c4393eb97df636548f497999bde73643afbe1a6ddc3c004cbb01f610
路
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