Instructions to use VanshKodesia21/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VanshKodesia21/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VanshKodesia21/my_awesome_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("VanshKodesia21/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("VanshKodesia21/my_awesome_qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6daaa72a8211bbb86c827c2c3e9c76f43cac2e6eedd0f4361187bc0916699af8
- Size of remote file:
- 3.39 kB
- SHA256:
- 44c9bcab13ad30471e06604c6b37acde44f27ba9d1759a92ea0258fa7f54d613
路
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