Instructions to use cgifbribcgfbi/Meta-Llama-3.1-chem-3-5-sonnet-replicate-old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cgifbribcgfbi/Meta-Llama-3.1-chem-3-5-sonnet-replicate-old with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated") model = PeftModel.from_pretrained(base_model, "cgifbribcgfbi/Meta-Llama-3.1-chem-3-5-sonnet-replicate-old") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 278df1863ba58e2257f3572bda8e389e3c52e574e7a696d4added5fd66f62c86
- Size of remote file:
- 671 MB
- SHA256:
- 0f6b2a70ea82949c4b17945e37d75b48219b197e19794038ee960d1f839a9719
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