Instructions to use tan-ht/SimulSense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use tan-ht/SimulSense 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( "tan-ht/SimulSense" ) - PEFT
How to use tan-ht/SimulSense with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 726 Bytes
cd8754c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"en-zh": {
"projection_tensor_equality": true,
"adapter_sha256_equality": true,
"selection": "best_bleu_53.3354 (local checkpoint identifier; not a benchmark claim)"
},
"en-de": {
"projection_tensor_equality": true,
"adapter_sha256_equality": true,
"selection": "best_bleu_37.2255 (local checkpoint identifier; not a benchmark claim)"
},
"en-ja": {
"projection_tensor_equality": true,
"adapter_sha256_equality": true,
"selection": "best_bleu_34.4548 (local checkpoint identifier; not a benchmark claim)"
},
"SimulSense": {
"detector_sha256_equality": true,
"adapter_sha256_equality": true,
"other_tensor_equality": true,
"training_state_removed": true
}
}
|