Instructions to use mukulb/tinyllama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mukulb/tinyllama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v0.1") model = PeftModel.from_pretrained(base_model, "mukulb/tinyllama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d355025c0ccad9a98b812cb01ee75a2f4adf60444bc6b3664c532d2239e3c56
- Size of remote file:
- 5.37 kB
- SHA256:
- 5d604ff096f05e0381dc160c38a158c06bf145a5d033c17b0a7798a57c712598
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.