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
File size: 228 Bytes
5491e76 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_from_model_config": true,
"bos_token_id": 0,
"decoder_start_token_id": 2,
"early_stopping": true,
"eos_token_id": 2,
"max_length": 200,
"num_beams": 5,
"pad_token_id": 1,
"transformers_version": "4.48.1"
}
|