Instructions to use JK-TK/BIO2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JK-TK/BIO2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/phi-3-mini-4k-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "JK-TK/BIO2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JK-TK/BIO2: direct link, hf CLI and curl.
- Browser
- Download file 6.16 kB
-
https://huggingface.co/JK-TK/BIO2/resolve/main/training_args.bin
- Command line
-
hf download hf://JK-TK/BIO2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JK-TK/BIO2/resolve/main/training_args.bin
6.16 kB
- Xet hash:
- 99a8b9dc2df08b77ee22aa7803af3cfa3b865250db3cb34e9244ff2db7219883
- Size of remote file:
- 6.16 kB
- SHA256:
- 40eeb8025520b4be5427915b22b16a4fdd56bd888b3ab71bffca01bda751bcb7
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