Instructions to use RazyDave/FastAI-deberta-v3-small-SIGMORPHON-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RazyDave/FastAI-deberta-v3-small-SIGMORPHON-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RazyDave/FastAI-deberta-v3-small-SIGMORPHON-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RazyDave/FastAI-deberta-v3-small-SIGMORPHON-v1") model = AutoModelForSequenceClassification.from_pretrained("RazyDave/FastAI-deberta-v3-small-SIGMORPHON-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27d6745c5f2ffed220461c382ce1dff799378f1c80c71051e3dc2c6f358211dd
- Size of remote file:
- 568 MB
- SHA256:
- a3bc1819664c1912757984824c4fa5a4361c7a6dc514e9a9a19938c6ae282dbc
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