Instructions to use tarabukinivan/f23026ab-3731-43be-9da8-6a5f8535026a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/f23026ab-3731-43be-9da8-6a5f8535026a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "tarabukinivan/f23026ab-3731-43be-9da8-6a5f8535026a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80b199be863185da0fa97bd98812efe49e492aad2cc870906c5997aea6f82b94
- Size of remote file:
- 6.71 kB
- SHA256:
- 66949f4a29975ba5ef04c9de8c2f306b6957f8a29b5656deac89ecc18ee8b398
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