Instructions to use Mahdi721/Firstmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahdi721/Firstmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Mahdi721/Firstmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Mahdi721/Firstmodel") model = AutoModelForQuestionAnswering.from_pretrained("Mahdi721/Firstmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa3e2c692e78a8fd19423f41e7353ac2b85430ad47d0a7e3f60c43a2b64b36dd
- Size of remote file:
- 496 MB
- SHA256:
- f7246b40821f3e4eeb42c3a4d7f3d529e91a22de0971ae7979a047dece8286e7
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