Instructions to use Ed13210/code-llama-7b-conductor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ed13210/code-llama-7b-conductor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "Ed13210/code-llama-7b-conductor") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Ed13210/code-llama-7b-conductor: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/Ed13210/code-llama-7b-conductor/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ed13210/code-llama-7b-conductor/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Ed13210/code-llama-7b-conductor/resolve/main/tokenizer.json
1.84 MB
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