Instructions to use anhdao69/SimpleMemVLN-R2R-RxR15deg-FullContext-CandidateLogits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhdao69/SimpleMemVLN-R2R-RxR15deg-FullContext-CandidateLogits with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anhdao69/SimpleMemVLN-R2R-RxR15deg-FullContext-CandidateLogits", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.sha256 from anhdao69/SimpleMemVLN-R2R-RxR15deg-FullContext-CandidateLogits: direct link, hf CLI and curl.
- Browser
- Download file 12.4 kB
-
https://huggingface.co/anhdao69/SimpleMemVLN-R2R-RxR15deg-FullContext-CandidateLogits/resolve/main/source.sha256
- Command line
-
hf download hf://anhdao69/SimpleMemVLN-R2R-RxR15deg-FullContext-CandidateLogits/source.sha256
-
curl -L -o source.sha256 https://huggingface.co/anhdao69/SimpleMemVLN-R2R-RxR15deg-FullContext-CandidateLogits/resolve/main/source.sha256
12.4 kB
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