Instructions to use Saurabh4509/Sanskrit_31 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Saurabh4509/Sanskrit_31 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Saurabh4509/Sanskrit_31") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51ca4190bf725d144ce85f6754bc7a64b713c7ee982cd5192a2cd38454e7e577
- Size of remote file:
- 2.27 GB
- SHA256:
- 2bec734aa96e45ff57bb2162cc7b21121abe43cf81d66ef5c33494ebf95241b8
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