Instructions to use sergioalves/f46c06a5-5d69-4b79-b55c-9aad986959ad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/f46c06a5-5d69-4b79-b55c-9aad986959ad with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-70m") model = PeftModel.from_pretrained(base_model, "sergioalves/f46c06a5-5d69-4b79-b55c-9aad986959ad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba9944a63c14c3bbd47017ae72e731b9b81e5ea4d352d89e82cbf00aa4dcd86d
- Size of remote file:
- 6.3 MB
- SHA256:
- 0b0e41ef57fea205dd98cf3e9e1b11fad302ac852094c7de3bf4ec9b101f1d77
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