Instructions to use shibajustfor/26f86435-80d4-4b02-8a0b-3ac4a0a12e77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/26f86435-80d4-4b02-8a0b-3ac4a0a12e77 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Llama-2-13b-128k") model = PeftModel.from_pretrained(base_model, "shibajustfor/26f86435-80d4-4b02-8a0b-3ac4a0a12e77") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from shibajustfor/26f86435-80d4-4b02-8a0b-3ac4a0a12e77: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/shibajustfor/26f86435-80d4-4b02-8a0b-3ac4a0a12e77/resolve/main/tokenizer.json
- Command line
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hf download hf://shibajustfor/26f86435-80d4-4b02-8a0b-3ac4a0a12e77/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/shibajustfor/26f86435-80d4-4b02-8a0b-3ac4a0a12e77/resolve/main/tokenizer.json
3.62 MB
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