Instructions to use prital27/tinyllama-lora-cli-utils with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prital27/tinyllama-lora-cli-utils with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "prital27/tinyllama-lora-cli-utils") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 507fb0948e5d2853b493f28917e6e346bfa55ecaa2f3a6ace94cb097c5a5acb9
- Size of remote file:
- 9.03 MB
- SHA256:
- 6681ac4ab775f4a8cb6173bc56eeba1d7f81114d97135d0c72e9db509c2f6104
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