Instructions to use kokovova/956ff7da-caf6-4258-8ba2-fac5c897b10f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/956ff7da-caf6-4258-8ba2-fac5c897b10f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-13b-hf-flash") model = PeftModel.from_pretrained(base_model, "kokovova/956ff7da-caf6-4258-8ba2-fac5c897b10f") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kokovova/956ff7da-caf6-4258-8ba2-fac5c897b10f: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/kokovova/956ff7da-caf6-4258-8ba2-fac5c897b10f/resolve/main/tokenizer.json
- Command line
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hf download hf://kokovova/956ff7da-caf6-4258-8ba2-fac5c897b10f/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/kokovova/956ff7da-caf6-4258-8ba2-fac5c897b10f/resolve/main/tokenizer.json
3.62 MB
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