Instructions to use eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/57473b92-4192-49cb-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, "eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78c8f73629a29cfe40bcf2c7990545baadcd5bd21c75725ca2c0a1bd9e8a397c
- Size of remote file:
- 336 MB
- SHA256:
- fd811f87b564f7e7cc2cf52eba95f769dab40ff7ccf92486a8510d880ff96b52
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