Instructions to use Jukaboo/checkpoint-65 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jukaboo/checkpoint-65 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Jukaboo/checkpoint-65") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7d644155ccfcd32abd3b8f3f8e9487b8933786471669f2d0de083be8471cc20
- Size of remote file:
- 16.8 MB
- SHA256:
- 0613a2ecaa5fdc3cfd9ee13cbbfed003e619f1030313a383a8c0a483d0b51791
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