Instructions to use stuartmesham/deberta-large_spell_5k_4_p3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stuartmesham/deberta-large_spell_5k_4_p3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="stuartmesham/deberta-large_spell_5k_4_p3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("stuartmesham/deberta-large_spell_5k_4_p3") model = AutoModelForTokenClassification.from_pretrained("stuartmesham/deberta-large_spell_5k_4_p3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67d70e006dae8b677608c503c75818ce29da13cebcbbe25f159dd8f9bb3ebd38
- Size of remote file:
- 3.44 kB
- SHA256:
- a098906d94e4c948e76a8ba1957d1aa3c9d82976399f15c2b975064c37988cea
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