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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("codeaze/deberta_small_22feb") model = AutoModelForTokenClassification.from_pretrained("codeaze/deberta_small_22feb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from codeaze/deberta_small_22feb: direct link, hf CLI and curl.
- Browser
- Download file 1.74 GB
-
https://huggingface.co/codeaze/deberta_small_22feb/resolve/main/model.safetensors
- Command line
-
hf download hf://codeaze/deberta_small_22feb/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/codeaze/deberta_small_22feb/resolve/main/model.safetensors
1.74 GB
- Xet hash:
- 28983eb29c3b240695a2c37518edf83cb4422cfcaa36f886542d95efc2464340
- Size of remote file:
- 1.74 GB
- SHA256:
- 168c6c4d3f5643e633386c45a8fa26083027ec6a9840567f52ecd63d6395eed2
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