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/optimizer.pt from InternRobotics/VLN-PE: direct link, hf CLI and curl.
- Browser
- Download file 19.7 MB
-
https://huggingface.co/InternRobotics/VLN-PE/resolve/main/r2r/fine_tuned/seq2seq/optimizer.pt
- Command line
-
hf download hf://InternRobotics/VLN-PE/r2r/fine_tuned/seq2seq/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/InternRobotics/VLN-PE/resolve/main/r2r/fine_tuned/seq2seq/optimizer.pt
19.7 MB
- Xet hash:
- 0efc629248b5a9388f5e4a1d0c8f111af375367f5109b6a35813c89472827526
- Size of remote file:
- 19.7 MB
- SHA256:
- b1a9c011abecf2958a513a5269d1f650ff54dd3ce72ba9c813005b629604c771
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