Instructions to use dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874/resolve/main/last-checkpoint/tokenizer.json
- Command line
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hf download hf://dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874/last-checkpoint/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874/resolve/main/last-checkpoint/tokenizer.json
3.62 MB
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