Instructions to use nhungphammmmm/c3413be6-64c3-4570-9283-34ecc6d8db24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/c3413be6-64c3-4570-9283-34ecc6d8db24 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/c3413be6-64c3-4570-9283-34ecc6d8db24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c688944c051ad7a27bc814e346dce3c7d327820a4a43b7dbe021da906ffb910e
- Size of remote file:
- 6.78 kB
- SHA256:
- eb5351e99b6a20bf817980eb4e187f00160277cad091f85761d9367b95e081cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.