Instructions to use Colder203/llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Colder203/llama with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "Colder203/llama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 062bf8e0ae4a22ed745c2915e6d18e2b7ef55bd3051c86a25e16c4e49de18fd7
- Size of remote file:
- 5.24 kB
- SHA256:
- e19ccd109d1c13f77c53d0ce8ea466f219b8affa4075fd729d186c9f6c476496
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