Instructions to use PinkiKumari22/FinalPreTrainedModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PinkiKumari22/FinalPreTrainedModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("PinkiKumari22/FinalPreTrainedModel") model = AutoModelForPreTraining.from_pretrained("PinkiKumari22/FinalPreTrainedModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 844fb6c7ae5cce567c6cf9c19315ccd96af9e985ce350e8878bf6fc4ac03c2d8
- Size of remote file:
- 440 MB
- SHA256:
- 0366ac5e170db94a5a8358763c7c62eb0f9098772a1616fb15422509d4046c4d
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