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:
- fd14fd764e63ae6ef4a392b4cee3b5fa3b83e7a9bde550fa7bde70b6e858d3b4
- Size of remote file:
- 2.54 GB
- SHA256:
- 042b79047d26f9d0a1136eb9d7215a1a67dff80c281c60caea0ab76c332c3836
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