Instructions to use Pro-aryan00/roberta-mcq-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pro-aryan00/roberta-mcq-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("roberta-base") model = PeftModel.from_pretrained(base_model, "Pro-aryan00/roberta-mcq-ft") - Transformers
How to use Pro-aryan00/roberta-mcq-ft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Pro-aryan00/roberta-mcq-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7c1fee67397f11f010a2650bcab465f61f87b07c161753dd949f0fced726407
- Size of remote file:
- 7.16 MB
- SHA256:
- da265fd3d7f0fd8f7811d4aacb314e63aa49d3db53edd9d2f865414f2c395089
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