Instructions to use VTaPo/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VTaPo/my_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VTaPo/my_model") model = AutoModelForMultipleChoice.from_pretrained("VTaPo/my_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 930ac035283ea1ac4e3012ffef1d2cb297306f38ffc1812e3a371b7fcde31970
- Size of remote file:
- 1.48 GB
- SHA256:
- 8ff3f1ccb45b1e8d4871851fd0677159f3059a6f74c7e2c65f2788fe9cd934bc
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