Instructions to use kokovova/de869599-5ee7-429e-b840-a7927ebaf277 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/de869599-5ee7-429e-b840-a7927ebaf277 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/de869599-5ee7-429e-b840-a7927ebaf277") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from kokovova/de869599-5ee7-429e-b840-a7927ebaf277: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/kokovova/de869599-5ee7-429e-b840-a7927ebaf277/resolve/main/tokenizer.json
- Command line
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hf download hf://kokovova/de869599-5ee7-429e-b840-a7927ebaf277/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/kokovova/de869599-5ee7-429e-b840-a7927ebaf277/resolve/main/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.