Automatic Speech Recognition
Transformers
Safetensors
English
Italian
conformer_encoder_decoder
speech
speech recognition
speech translation
ASR
ST
custom_code
Instructions to use FBK-MT/fama-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FBK-MT/fama-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FBK-MT/fama-medium", trust_remote_code=True)# Load model directly from transformers import AutoModelForSpeechSeq2Seq model = AutoModelForSpeechSeq2Seq.from_pretrained("FBK-MT/fama-medium", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1c2d0a762305bb4b234f7e43699b5d1af6ef885470af6b7ddf687cc63daa756
- Size of remote file:
- 525 kB
- SHA256:
- 8bdd22451ef0da74acc077f40a074170163aa2601c1a57bad29e93dbbe0fc903
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