Instructions to use Jukaboo/checkpoint-130 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jukaboo/checkpoint-130 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-130") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3e5711de9310f4f97dafd26c3b658942015011af98368844f8030c55e563aa7
- Size of remote file:
- 16.8 MB
- SHA256:
- 7de667110bc25195b5295b002a18db9a16257329155a94d36eccf142a06adc98
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