Instructions to use ShengdingHu/superglue-copa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/superglue-copa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShengdingHu/superglue-copa") model = AutoModelForSeq2SeqLM.from_pretrained("ShengdingHu/superglue-copa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 450
1335ff2 -
Training in progress, step 250
5e33f44 -
Training in progress, step 50
1b95b8c
-
Training in progress, step 500
69f0801 -
Training in progress, step 450
d2c247b -
Training in progress, step 400
5a19e25 -
Training in progress, step 350
f0f2f91 -
Training in progress, step 300
037c98f -
Training in progress, step 250
9c74933 -
Training in progress, step 200
8437dae -
Training in progress, step 150
b924338 -
Training in progress, step 100
470283f -
Training in progress, step 50
fd86f86 -
Training in progress, step 250
60aacb2 -
Training in progress, step 200
d1276ca -
Training in progress, step 150
5d92a60 -
Training in progress, step 100
475bafa -
Training in progress, step 50
25e5b35 -
Training in progress, step 200
23ed4e3 -
Training in progress, step 200
af45fa8 -
Training in progress, step 200
75a5bb9 -
Training in progress, step 200
ed076d9 -
initial commit
a5791e5