Instructions to use Rzoro/checkpoints_3_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rzoro/checkpoints_3_10 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Rzoro/checkpoints_3_10") model = AutoModelForMultipleChoice.from_pretrained("Rzoro/checkpoints_3_10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 1400
b86c313 -
Training in progress, step 1200
6af1b87 -
Training in progress, step 1000
77739ae -
Training in progress, step 800
fc4958c -
Training in progress, step 600
3665125 -
Training in progress, step 400
b394d29 -
Training in progress, step 200
bf1acd9 -
Training in progress, step 600
ecfa020 -
Training in progress, step 400
5bf79e9 -
Training in progress, step 200
ff2e708 -
initial commit
7b9cc04