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 tokenizer.json from codeaze/deberta_small_22feb: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/codeaze/deberta_small_22feb/resolve/main/tokenizer.json
- Command line
-
hf download hf://codeaze/deberta_small_22feb/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/codeaze/deberta_small_22feb/resolve/main/tokenizer.json
8.65 MB
File too large to display, you can check the raw version instead.