Instructions to use aleegis10/a3453512-9ee3-4604-ba9b-d9e99797bcb2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/a3453512-9ee3-4604-ba9b-d9e99797bcb2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "aleegis10/a3453512-9ee3-4604-ba9b-d9e99797bcb2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08d9401124b2934bd55e937f86a4ae92a41467e557954a3c8b4db4224f211468
- Size of remote file:
- 6.84 kB
- SHA256:
- 49b7bab69c4fc408f0f2e321ca75373d76537481289b84108e5e58f223504a2c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.