Instructions to use baskarm/deepseek-coder-7b-instruct-v1.5_finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baskarm/deepseek-coder-7b-instruct-v1.5_finetune with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-7b-instruct-v1.5") model = PeftModel.from_pretrained(base_model, "baskarm/deepseek-coder-7b-instruct-v1.5_finetune") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from baskarm/deepseek-coder-7b-instruct-v1.5_finetune: direct link, hf CLI and curl.
- Browser
- Download file 4.61 MB
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https://huggingface.co/baskarm/deepseek-coder-7b-instruct-v1.5_finetune/resolve/main/tokenizer.json
- Command line
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hf download hf://baskarm/deepseek-coder-7b-instruct-v1.5_finetune/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/baskarm/deepseek-coder-7b-instruct-v1.5_finetune/resolve/main/tokenizer.json
4.61 MB
File too large to display, you can check the raw version instead.