Instructions to use matverest/MCQA_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matverest/MCQA_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="matverest/MCQA_test", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("matverest/MCQA_test") model = AutoModelForSequenceClassification.from_pretrained("matverest/MCQA_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d0c1b56862dbb29cd0fc10108b8ae7d242c2ad6e757b5c03775459008ddb3aa
- Size of remote file:
- 5.3 kB
- SHA256:
- 97fa6960f91457a2e3a66e8ef81465a4093f69d3bbbf04028348e84c74d86926
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