Instructions to use codeaze/deberta_small_22feb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeaze/deberta_small_22feb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="codeaze/deberta_small_22feb")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("codeaze/deberta_small_22feb") model = AutoModelForTokenClassification.from_pretrained("codeaze/deberta_small_22feb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28983eb29c3b240695a2c37518edf83cb4422cfcaa36f886542d95efc2464340
- Size of remote file:
- 1.74 GB
- SHA256:
- 168c6c4d3f5643e633386c45a8fa26083027ec6a9840567f52ecd63d6395eed2
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