Feature Extraction
Transformers
Safetensors
English
meralion_bestrq
speech
best-rq
meralion
custom_code
Instructions to use MERaLiON/MERaLiON-SpeechEncoder-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MERaLiON/MERaLiON-SpeechEncoder-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MERaLiON/MERaLiON-SpeechEncoder-v1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MERaLiON/MERaLiON-SpeechEncoder-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8280611f8566bc667ef34ce55e0ca627ecf54c44525c5698036d40917b5cb63
- Size of remote file:
- 2.54 GB
- SHA256:
- 762453568259d14e987df556bc70d2b1c30f80aaafbff839224fadcca91ec09f
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