Instructions to use oussama120/deepseek-coder-6.7b-lora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oussama120/deepseek-coder-6.7b-lora-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "oussama120/deepseek-coder-6.7b-lora-adapter") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from oussama120/deepseek-coder-6.7b-lora-adapter: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/oussama120/deepseek-coder-6.7b-lora-adapter/resolve/main/tokenizer.json
- Command line
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hf download hf://oussama120/deepseek-coder-6.7b-lora-adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/oussama120/deepseek-coder-6.7b-lora-adapter/resolve/main/tokenizer.json
1.37 MB
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