Instructions to use dada22231/57473b92-4192-49cb-9c74-0b29a21addf8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/57473b92-4192-49cb-9c74-0b29a21addf8 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, "dada22231/57473b92-4192-49cb-9c74-0b29a21addf8") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dada22231/57473b92-4192-49cb-9c74-0b29a21addf8: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/dada22231/57473b92-4192-49cb-9c74-0b29a21addf8/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dada22231/57473b92-4192-49cb-9c74-0b29a21addf8/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dada22231/57473b92-4192-49cb-9c74-0b29a21addf8/resolve/main/last-checkpoint/optimizer.pt
671 MB
- Xet hash:
- 23e20ea9a6405d55a3db73781e9087e21d7414011b33ac83e3ccbfa2ae9a60ed
- Size of remote file:
- 671 MB
- SHA256:
- 427dae08e504b8e72d382b32fd2e3217004f4d058012f9ef2247413e70e846eb
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