Instructions to use inshining/roberta-base-common with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inshining/roberta-base-common with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("inshining/roberta-base-common") model = AutoModelForMultipleChoice.from_pretrained("inshining/roberta-base-common", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 600
ef291d3 -
Training in progress, step 400
c415d26 -
Training in progress, step 200
322a2ec -
Training in progress, step 800
91a31d6 -
Training in progress, step 600
a5aa255 -
Training in progress, step 400
d120a56 -
Training in progress, step 200
e10b5cf -
initial commit
2551dcc