Instructions to use InternRobotics/VLN-PE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/VLN-PE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InternRobotics/VLN-PE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download r2r/fine_tuned/seq2seq/trainer_state.json from InternRobotics/VLN-PE: direct link, hf CLI and curl.
- Browser
- Download file 4.78 MB
-
https://huggingface.co/InternRobotics/VLN-PE/resolve/main/r2r/fine_tuned/seq2seq/trainer_state.json
- Command line
-
hf download hf://InternRobotics/VLN-PE/r2r/fine_tuned/seq2seq/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/InternRobotics/VLN-PE/resolve/main/r2r/fine_tuned/seq2seq/trainer_state.json
4.78 MB
File too large to display, you can check the raw version instead.