Automatic Speech Recognition
Transformers
Safetensors
speech-llm
feature-extraction
medical
speech
asr
multilingual
custom_code
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
- Xet hash:
- fdbc224f8f034d33bd2236d2e018f5a3abc3ee76f30e5ddd934110b06ebbb572
- Size of remote file:
- 33.4 MB
- SHA256:
- b2b0e6a9cfe8541b0cf6b7c39acba652c96c6d816fc6568f82c664a8f750636e
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