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:
- edfbc25c63f87b3aa2ab96329fb9c0fdfcdd9cbc5c63a59f46b0ab97e19610d2
- Size of remote file:
- 7.16 MB
- SHA256:
- 2e870e3dae7e0d66d4fec9ef95e98991cb15e563b7b14edc4810332d386ca09d
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