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:
- c236e9000b3709fd3f7add1bdbccf12373ea5c08f04630ad3843dd506b03c5da
- Size of remote file:
- 7.16 MB
- SHA256:
- 697a6de8672f8e6612815402b456545221c43738ad7ed797677ebd20b0edfa9f
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