Instructions to use myhaaaaaaa/91082058-0b05-422a-9a6b-c18b808db69a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use myhaaaaaaa/91082058-0b05-422a-9a6b-c18b808db69a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("The-matt/llama2_ko-7b_distinctive-snowflake-182_1060") model = PeftModel.from_pretrained(base_model, "myhaaaaaaa/91082058-0b05-422a-9a6b-c18b808db69a") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from myhaaaaaaa/91082058-0b05-422a-9a6b-c18b808db69a: direct link, hf CLI and curl.
- Browser
- Download file 4.8 MB
-
https://huggingface.co/myhaaaaaaa/91082058-0b05-422a-9a6b-c18b808db69a/resolve/main/tokenizer.json
- Command line
-
hf download hf://myhaaaaaaa/91082058-0b05-422a-9a6b-c18b808db69a/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/myhaaaaaaa/91082058-0b05-422a-9a6b-c18b808db69a/resolve/main/tokenizer.json
4.8 MB
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