Automatic Speech Recognition
Transformers
Safetensors
English
Italian
conformer_encoder_decoder
speech
speech recognition
ASR
custom_code
Instructions to use FBK-MT/fama-medium-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FBK-MT/fama-medium-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FBK-MT/fama-medium-asr", trust_remote_code=True)# Load model directly from transformers import AutoModelForSpeechSeq2Seq model = AutoModelForSpeechSeq2Seq.from_pretrained("FBK-MT/fama-medium-asr", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d48182f2b6145174172d6482d61247b0cc377a8ff5c1ac499939ba152c225d7e
- Size of remote file:
- 4.37 GB
- SHA256:
- 73ffa6f62ade0ec0c362ba8c3c7b2c650dc87edaf3235314d46cb99131961d57
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