Instructions to use PulkundwarP/finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PulkundwarP/finetuned_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "PulkundwarP/finetuned_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6e9e7347dce8ec958e7c0311f331a173aa35285fad3690a906d9f4e0fdaf0d6
- Size of remote file:
- 17.2 MB
- SHA256:
- c70650b4236027dc8db4abca6b918783a8ed2ee38cd69142f6dbbeb5945f876f
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