Feature Extraction
Transformers
Safetensors
meralion_bestrq
speech
best-rq
meralion
meralion-2
custom_code
Instructions to use MERaLiON/MERaLiON-SpeechEncoder-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MERaLiON/MERaLiON-SpeechEncoder-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MERaLiON/MERaLiON-SpeechEncoder-2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MERaLiON/MERaLiON-SpeechEncoder-2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a333a5f811eb4c2d1319ed25d478bf2bd707dc019332c27b12b7d4b8ca70bec
- Size of remote file:
- 116 kB
- SHA256:
- 8cb7f1f108d660e86df86679f903d348af7ccaa1d2bd85b6f12da02b9db95312
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