Instructions to use dugoalberto/deepseek-coder-6.7b_LoRA_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dugoalberto/deepseek-coder-6.7b_LoRA_python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-base") model = PeftModel.from_pretrained(base_model, "dugoalberto/deepseek-coder-6.7b_LoRA_python") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dugoalberto/deepseek-coder-6.7b_LoRA_python: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/dugoalberto/deepseek-coder-6.7b_LoRA_python/resolve/470c01a275f0ca44de55a0430cc52bc825099e42/tokenizer.json
- Command line
-
hf download hf://dugoalberto/deepseek-coder-6.7b_LoRA_python@470c01a275f0ca44de55a0430cc52bc825099e42/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dugoalberto/deepseek-coder-6.7b_LoRA_python/resolve/470c01a275f0ca44de55a0430cc52bc825099e42/tokenizer.json
1.37 MB
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