Instructions to use SnowCharmQ/DEP-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SnowCharmQ/DEP-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SnowCharmQ/DEP-model") model = AutoModel.from_pretrained("SnowCharmQ/DEP-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SnowCharmQ/DEP-model: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/SnowCharmQ/DEP-model/resolve/main/tokenizer.json
- Command line
-
hf download hf://SnowCharmQ/DEP-model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SnowCharmQ/DEP-model/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- e1d4f484a9a208844d0a1f443df0b6bbd9c767dadcda99ea6323655fdd66434d
- Size of remote file:
- 11.4 MB
- SHA256:
- 376f9099b5e48e2dc3a75f4369f7da7756107820fd935017f1f9a03deb2e7dc0
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