Instructions to use learner1119/ffw_sg2_n15_260820_left_50000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learner1119/ffw_sg2_n15_260820_left_50000 with Transformers:
# Load model directly from transformers import GR00T_N1_5 model = GR00T_N1_5.from_pretrained("learner1119/ffw_sg2_n15_260820_left_50000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from learner1119/ffw_sg2_n15_260820_left_50000: direct link, hf CLI and curl.
- Browser
- Download file 639 Bytes
-
https://huggingface.co/learner1119/ffw_sg2_n15_260820_left_50000/resolve/main/README.md
- Command line
-
hf download hf://learner1119/ffw_sg2_n15_260820_left_50000/README.md
-
curl -L -o README.md https://huggingface.co/learner1119/ffw_sg2_n15_260820_left_50000/resolve/main/README.md
639 Bytes
metadata
license: apache-2.0
tags:
- robotics
- gr00t
- ffw_sh5
library_name: transformers
GR00T Fine-tuned Model
- Base model: unknown
- Architecture: GR00T_N1_5
- Action horizon: 50
- Local checkpoint:
checkpoint-50000
Usage
from gr00t.model.policy import Gr00tPolicy
# modality_config / modality_transform ์ ํ์ต data_config ์ ๋์ผํ๊ฒ ์ค์
policy = Gr00tPolicy(
model_path="learner1119/ffw_sg2_n15_260820_left_50000",
embodiment_tag="new_embodiment",
modality_config=modality_config,
modality_transform=modality_transform,
)
action = policy.get_action(observations)