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
Update README.md
Browse files
README.md
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license: other
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license_name: meralion-public-license
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license_link: https://huggingface.co/MERaLiON/MERaLiON-AudioLLM-Whisper-SEA-LION/blob/main/MERaLiON-Public-Licence-v1.pdf
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tags:
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- speech
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- best-rq
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license: other
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license_name: meralion-public-license
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license_link: https://huggingface.co/MERaLiON/MERaLiON-AudioLLM-Whisper-SEA-LION/blob/main/MERaLiON-Public-Licence-v1.pdf
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extra_gated_fields:
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First Name: text
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Last Name: text
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Country: country
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Affiliation: text
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Job title:
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type: select
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options:
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- Student
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- Research Graduate
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- AI developer/Researcher
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- Other
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I consent to being contacted by the MERaLiON team for feedback or follow-up regarding my experience using the model: checkbox
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extra_gated_description: >-
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By downloading this model, you acknowledge that you have read and agree to be bound by the Terms and Conditions set out in this document [MERaLiON Public License](https://huggingface.co/datasets/MERaLiON/MERaLiON_Public_Licence/blob/main/MERaLiON-Public-Licence-v1_Speech-Encoder-2.pdf).
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The information you provide will be collected, stored, processed, and shared in accordance with the [A*STAR Privacy Policy](https://www.a-star.edu.sg/privacy-statement).
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extra_gated_button_content: Submit
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tags:
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- speech
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- best-rq
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