Instructions to use LEE181204/libero_object_baseline_70000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LEE181204/libero_object_baseline_70000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("IPEC-COMMUNITY/spatialvla-4b-224-pt") model = PeftModel.from_pretrained(base_model, "LEE181204/libero_object_baseline_70000") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from LEE181204/libero_object_baseline_70000: direct link, hf CLI and curl.
- Browser
- Download file 7.22 kB
-
https://huggingface.co/LEE181204/libero_object_baseline_70000/resolve/main/training_args.bin
- Command line
-
hf download hf://LEE181204/libero_object_baseline_70000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/LEE181204/libero_object_baseline_70000/resolve/main/training_args.bin
7.22 kB
- Xet hash:
- 1343e644530ad0cc961e031c419dc324c138d53e42f1e0ae56f52ae77280dc29
- Size of remote file:
- 7.22 kB
- SHA256:
- a4110d6b19ccce655d294fd7a585ab79a76ce9c5d8378fa0d253f9cea7902210
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