Instructions to use codeaze/deberta_large_23feb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeaze/deberta_large_23feb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="codeaze/deberta_large_23feb")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("codeaze/deberta_large_23feb") model = AutoModelForTokenClassification.from_pretrained("codeaze/deberta_large_23feb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cd69ac4a696583030c204b412d889a1b51e42ce8ec046ac37f6b107e6cd4521
- Size of remote file:
- 1.74 GB
- SHA256:
- a36d0e2c9b45d34e31aaa01dfa0dc6c14bfe6e859c605f837516b45facdf2850
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