Instructions to use kokovova/001e3242-5b49-4f5c-adb9-5f7c985a648e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/001e3242-5b49-4f5c-adb9-5f7c985a648e 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/001e3242-5b49-4f5c-adb9-5f7c985a648e") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kokovova/001e3242-5b49-4f5c-adb9-5f7c985a648e: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/kokovova/001e3242-5b49-4f5c-adb9-5f7c985a648e/resolve/main/tokenizer.json
- Command line
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hf download hf://kokovova/001e3242-5b49-4f5c-adb9-5f7c985a648e/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/kokovova/001e3242-5b49-4f5c-adb9-5f7c985a648e/resolve/main/tokenizer.json
3.62 MB
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