Instructions to use codeaze/Deberta_FT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeaze/Deberta_FT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="codeaze/Deberta_FT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("codeaze/Deberta_FT") model = AutoModelForTokenClassification.from_pretrained("codeaze/Deberta_FT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eca6ed73069b95efed6c634a117409bb059466a4b582f538a3982e8a792cc70f
- Size of remote file:
- 554 MB
- SHA256:
- 067dd2b14bd01435409c3a76ca7be3ea8f8ad5f6ff3ee9ae48297a3bef05f116
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