Instructions to use lhong4759/196c4f72-5f02-44ee-9a57-6a522dd0ddd9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lhong4759/196c4f72-5f02-44ee-9a57-6a522dd0ddd9 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, "lhong4759/196c4f72-5f02-44ee-9a57-6a522dd0ddd9") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lhong4759/196c4f72-5f02-44ee-9a57-6a522dd0ddd9: direct link, hf CLI and curl.
- Browser
- Download file 4.8 MB
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https://huggingface.co/lhong4759/196c4f72-5f02-44ee-9a57-6a522dd0ddd9/resolve/main/tokenizer.json
- Command line
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hf download hf://lhong4759/196c4f72-5f02-44ee-9a57-6a522dd0ddd9/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/lhong4759/196c4f72-5f02-44ee-9a57-6a522dd0ddd9/resolve/main/tokenizer.json
4.8 MB
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