Instructions to use Gabriel2502/Phind-CodeLlama-34B-v2-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gabriel2502/Phind-CodeLlama-34B-v2-v5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Phind/Phind-CodeLlama-34B-v2") model = PeftModel.from_pretrained(base_model, "Gabriel2502/Phind-CodeLlama-34B-v2-v5") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Gabriel2502/Phind-CodeLlama-34B-v2-v5: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/Gabriel2502/Phind-CodeLlama-34B-v2-v5/resolve/main/tokenizer.json
- Command line
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hf download hf://Gabriel2502/Phind-CodeLlama-34B-v2-v5/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Gabriel2502/Phind-CodeLlama-34B-v2-v5/resolve/main/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.