Instructions to use DEVECOAI/DeepSeek-Coder-V2-Lite-Instruct_lr2e-05_r8_rsTrue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DEVECOAI/DeepSeek-Coder-V2-Lite-Instruct_lr2e-05_r8_rsTrue with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DEVECOAI/DeepSeek-Coder-V2-Lite-Instruct_lr2e-05_r8_rsTrue", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DEVECOAI/DeepSeek-Coder-V2-Lite-Instruct_lr2e-05_r8_rsTrue: direct link, hf CLI and curl.
- Browser
- Download file 7.5 MB
-
https://huggingface.co/DEVECOAI/DeepSeek-Coder-V2-Lite-Instruct_lr2e-05_r8_rsTrue/resolve/main/tokenizer.json
- Command line
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hf download hf://DEVECOAI/DeepSeek-Coder-V2-Lite-Instruct_lr2e-05_r8_rsTrue/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/DEVECOAI/DeepSeek-Coder-V2-Lite-Instruct_lr2e-05_r8_rsTrue/resolve/main/tokenizer.json
7.5 MB
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