Instructions to use xekrishna/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xekrishna/trainer_output with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("xekrishna/trainer_output") model = AutoModelForMultipleChoice.from_pretrained("xekrishna/trainer_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6978e512162e65d1bf896f2d284ec272ff96d1a0e308decb83567816856aada5
- Size of remote file:
- 5.2 kB
- SHA256:
- 050438dd5999a95452f2b5b13d130950bb4278caa501bd8f485a6a53291e8860
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