Instructions to use VuongQuoc/checkpoints_28_9_microsoft_deberta_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuongQuoc/checkpoints_28_9_microsoft_deberta_V2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VuongQuoc/checkpoints_28_9_microsoft_deberta_V2") model = AutoModelForMultipleChoice.from_pretrained("VuongQuoc/checkpoints_28_9_microsoft_deberta_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model save
730bdb0 -
Training in progress, step 900
f081971 -
Training in progress, step 800
88d1095 -
Training in progress, step 700
2c6898f -
Training in progress, step 600
7b213b8 -
Training in progress, step 500
19107c0 -
Training in progress, step 400
f4a8e9e -
Training in progress, step 300
7214859 -
Training in progress, step 200
9dd6c1d -
Training in progress, step 100
404c6da -
initial commit
7853ca6