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ekacare
/
parrotlet-a-2.5-pro

Automatic Speech Recognition
Transformers
Safetensors
speech-llm
feature-extraction
medical
speech
asr
multilingual
custom_code
Model card Files Files and versions
xet
Community

Instructions to use ekacare/parrotlet-a-2.5-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ekacare/parrotlet-a-2.5-pro with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ekacare/parrotlet-a-2.5-pro", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ekacare/parrotlet-a-2.5-pro", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
parrotlet-a-2.5-pro
9.95 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
ds-EkaCare's picture
ds-EkaCare
Point launch-blog link at the Parrotlet-a 2.5 Pro benchmark post
520dad7 verified 4 days ago
  • decoder
    Add files using upload-large-folder tool 7 days ago
  • encoder
    Add files using upload-large-folder tool 7 days ago
  • projector
    Add files using upload-large-folder tool 7 days ago
  • .gitattributes
    1.58 kB
    Add files using upload-large-folder tool 7 days ago
  • README.md
    7.01 kB
    Point launch-blog link at the Parrotlet-a 2.5 Pro benchmark post 4 days ago
  • config.json
    6.19 kB
    Add files using upload-large-folder tool 7 days ago
  • modelling_speech-llm.py
    9.4 kB
    Add files using upload-large-folder tool 7 days ago