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:
- d7dd2fc6644d5edf6975930517ef706b9349d4f2f74138e369822c695fe34d3e
- Size of remote file:
- 345 MB
- SHA256:
- 63eee59a30134b66c0de7117d6a5f84356018dfc42968c0dd422e9a516e745e8
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