Instructions to use cimol/360894cd-0ff4-44eb-a921-80e0e73d052e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/360894cd-0ff4-44eb-a921-80e0e73d052e 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, "cimol/360894cd-0ff4-44eb-a921-80e0e73d052e") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from cimol/360894cd-0ff4-44eb-a921-80e0e73d052e: direct link, hf CLI and curl.
- Browser
- Download file 341 MB
-
https://huggingface.co/cimol/360894cd-0ff4-44eb-a921-80e0e73d052e/resolve/b38956e0c2ae006975e5b8cf795e929cbab3102b/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://cimol/360894cd-0ff4-44eb-a921-80e0e73d052e@b38956e0c2ae006975e5b8cf795e929cbab3102b/last-checkpoint/optimizer.pt
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curl -L -o optimizer.pt https://huggingface.co/cimol/360894cd-0ff4-44eb-a921-80e0e73d052e/resolve/b38956e0c2ae006975e5b8cf795e929cbab3102b/last-checkpoint/optimizer.pt
341 MB
- Xet hash:
- 463903e043babe3ad32ba4d29f718eb9d5754c654add0cee6123429863b83e9b
- Size of remote file:
- 341 MB
- SHA256:
- fdae3cc3ef2579d38303491b8f10f789c128422e109aa8241dd8d8655ec8da06
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