Instructions to use Rithik28/LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rithik28/LLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "Rithik28/LLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a5a9f33d7155111fc2a954788eb8ccce65857f55677244e4f243b3d11e0add3
- Size of remote file:
- 134 MB
- SHA256:
- 4dd212140ec1cd75c954a8eba8394c949d6387baef327c863a43cb3b4072502b
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