Instructions to use eeeebbb2/75e85b72-6648-49d6-9f3e-75d68ddfd43e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/75e85b72-6648-49d6-9f3e-75d68ddfd43e 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, "eeeebbb2/75e85b72-6648-49d6-9f3e-75d68ddfd43e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48c28485dce33e1aa6bb831bd06a9201c29819c0b4c4ec88220118e0b6bad5d4
- Size of remote file:
- 6.84 kB
- SHA256:
- dfa210290cc278579b9ed7b68c13d9029eaa2d6d02d3a1a031ca4cd1141901d1
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