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
Upload model
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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{
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"activation_dropout": 0.0,
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"attention_dropout": 0.0,
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"auto_map": {
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"activation_dropout": 0.0,
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"architectures": [
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"MeralionBestRqModel"
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"attention_dropout": 0.0,
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"auto_map": {
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2536954592
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