Instructions to use Rzoro/checkpoints_2_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rzoro/checkpoints_2_12 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Rzoro/checkpoints_2_12") model = AutoModelForMultipleChoice.from_pretrained("Rzoro/checkpoints_2_12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 4200
3c1d593 -
Training in progress, step 4000
e55ff14 -
Training in progress, step 3800
a580b06 -
Training in progress, step 3600
654d76f -
Training in progress, step 3400
d0d59c7 -
Training in progress, step 3200
7238dee -
Training in progress, step 3000
ae0c3ab -
Training in progress, step 2800
41201d5 -
Training in progress, step 2600
c00139b -
Training in progress, step 2400
2e4385f -
Training in progress, step 2200
b9e2d78 -
Training in progress, step 2000
b7c78be -
Training in progress, step 1800
5144335 -
Training in progress, step 1600
a49b768 -
Training in progress, step 1400
c750063 -
Training in progress, step 1200
0c625ee -
Training in progress, step 1000
4a07229 -
Training in progress, step 800
e999685 -
Training in progress, step 600
f8316b2 -
Training in progress, step 400
bb9cbf9 -
Training in progress, step 200
00bb112 -
initial commit
abe9deb