Instructions to use dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceM4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4: direct link, hf CLI and curl.
- Browser
- Download file 212 kB
-
https://huggingface.co/dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dada22231/f0e02592-fed1-457a-aad1-7cd8fbbef9f4/resolve/main/last-checkpoint/optimizer.pt
212 kB
- Xet hash:
- e62307c81c8ecc3732615c7fc9d6661da3db0e6d9dcca003d9b1458878b0726c
- Size of remote file:
- 212 kB
- SHA256:
- 21840b3feebce811b701d9616745b168e501a92de7267d9ee696d979c4dc2456
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