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
File size: 158 Bytes
328e3ff | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_from_model_config": true,
"bos_token_id": 2,
"eos_token_id": [
1,
1,
106
],
"pad_token_id": 0,
"transformers_version": "4.53.1"
}
|