Instructions to use thalllsssss/afb36b0f-77c6-457d-bb84-64afc241ddfc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/afb36b0f-77c6-457d-bb84-64afc241ddfc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tokyotech-llm/Llama-3-Swallow-8B-v0.1") model = PeftModel.from_pretrained(base_model, "thalllsssss/afb36b0f-77c6-457d-bb84-64afc241ddfc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66315a8a98b2571bbd0c3bd648e8ce87838f16c17bbab82ea0124adbf714a515
- Size of remote file:
- 83.9 MB
- SHA256:
- 0ce80c1e3887e618c96af766d9874941d32d479ca29a37f527ab68f8ba42994e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.