Instructions to use phatjk/vcn-lora-8b-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phatjk/vcn-lora-8b-Instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vilm/vietcuna-3b-v2") model = PeftModel.from_pretrained(base_model, "phatjk/vcn-lora-8b-Instruct") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from phatjk/vcn-lora-8b-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 14.5 MB
-
https://huggingface.co/phatjk/vcn-lora-8b-Instruct/resolve/main/tokenizer.json
- Command line
-
hf download hf://phatjk/vcn-lora-8b-Instruct/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/phatjk/vcn-lora-8b-Instruct/resolve/main/tokenizer.json
14.5 MB
- Xet hash:
- 56e03f2ce312c5577ff33903a20d7f9420154a35af62e78891dee219dee48852
- Size of remote file:
- 14.5 MB
- SHA256:
- 8f2acb5763f6124f234e5fabf124401082c63629e631512960a5bd14cbf21d70
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