Instructions to use dada22231/75e85b72-6648-49d6-9f3e-75d68ddfd43e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/75e85b72-6648-49d6-9f3e-75d68ddfd43e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "dada22231/75e85b72-6648-49d6-9f3e-75d68ddfd43e") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dada22231/75e85b72-6648-49d6-9f3e-75d68ddfd43e: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/dada22231/75e85b72-6648-49d6-9f3e-75d68ddfd43e/resolve/5b2f1c8b37cfcf236e7d5e1c4246116a62fcac19/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dada22231/75e85b72-6648-49d6-9f3e-75d68ddfd43e@5b2f1c8b37cfcf236e7d5e1c4246116a62fcac19/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dada22231/75e85b72-6648-49d6-9f3e-75d68ddfd43e/resolve/5b2f1c8b37cfcf236e7d5e1c4246116a62fcac19/last-checkpoint/optimizer.pt
671 MB
- Xet hash:
- d2ce9a0d74f74e7ca9310ffa5de9b9eb48fdca1fb4b229882cb605a1ffa3ec32
- Size of remote file:
- 671 MB
- SHA256:
- 115f8ed6594a2dc94885e58277a6540fc4a0f3b355872b7ce063d1b857a74dca
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