Instructions to use udiboy1209/REMEND with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use udiboy1209/REMEND with Fairseq:
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub models, cfg, task = load_model_ensemble_and_task_from_hf_hub( "udiboy1209/REMEND" ) - Notebooks
- Google Colab
- Kaggle
Download models/trained_aarch64_best_drop01/beam1.zip from udiboy1209/REMEND: direct link, hf CLI and curl.
- Browser
- Download file 2.6 MB
-
https://huggingface.co/udiboy1209/REMEND/resolve/a3c7b4a1a6de31c1d7154589a101233cbfa00dc7/models/trained_aarch64_best_drop01/beam1.zip
- Command line
-
hf download hf://udiboy1209/REMEND@a3c7b4a1a6de31c1d7154589a101233cbfa00dc7/models/trained_aarch64_best_drop01/beam1.zip
-
curl -L -o beam1.zip https://huggingface.co/udiboy1209/REMEND/resolve/a3c7b4a1a6de31c1d7154589a101233cbfa00dc7/models/trained_aarch64_best_drop01/beam1.zip
2.6 MB
- Xet hash:
- eaae41d104242da0f5d2179e965566c8c41ed15260275ffa104c3809f3dbc566
- Size of remote file:
- 2.6 MB
- SHA256:
- a6f5c0fa95ee34a5f167cfaea37362d5a8032889e0b18844f137e501aa6efcee
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