Instructions to use klein9692/hashformer-md-proj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use klein9692/hashformer-md-proj with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForShuffleRandomThreeWayClassification tokenizer = AutoTokenizer.from_pretrained("klein9692/hashformer-md-proj") model = RobertaForShuffleRandomThreeWayClassification.from_pretrained("klein9692/hashformer-md-proj", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 163bd207f6ad7c9be4caccac46325f0385250d2da8423f81de687e2b929faea1
- Size of remote file:
- 1.78 kB
- SHA256:
- cf5837ddc92ce9faef5cfb3b95ccee7947cbe492ef3bda1298cb5bb250d79bf6
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