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:
- 9bed4d4db2f2f28dbf6b2b8f4496565c040dd500120423c8baf79187acae8d45
- Size of remote file:
- 336 MB
- SHA256:
- c81ae76f139a6fbd49837ffb7db68ea4322593aca36914bf8d1400f3c251a992
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