Feature Extraction
Transformers
Safetensors
moss_audio_encoder
audio
speech-representation
whisper
moss
acoustic-features
audio-llm
speech-encoder
diarization
custom_code
Instructions to use giangndm/moss-transcribe-diarize-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giangndm/moss-transcribe-diarize-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="giangndm/moss-transcribe-diarize-encoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("giangndm/moss-transcribe-diarize-encoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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