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:
- f0f6d231b84a34ff2ff1fcc9fbc55065b453e65fc2fdc79853adfe6b581bcf45
- Size of remote file:
- 4.03 kB
- SHA256:
- 0123626162a637e0dc96a8b9e0254be4cfe6c20c84bd79cd2a46ab6312836ddc
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