Instructions to use 1-lock/57473b92-4192-49cb-9c74-0b29a21addf8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/57473b92-4192-49cb-9c74-0b29a21addf8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "1-lock/57473b92-4192-49cb-9c74-0b29a21addf8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 227c5173e8a6767da681d5c3103c31c7c61b009803ab54d8c6c169093d1a0f6a
- Size of remote file:
- 6.84 kB
- SHA256:
- 66513c6c66c66b181d4be03fab50f0ac0120974ecf2182676814c2d5cd912253
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