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
Add library name, pipeline tag, link to paper and Github repo
#1
by nielsr HF Staff - opened
This PR improves the model card by adding:
- the
library_nameto facilitate usage of the model - a more relevant
pipeline_tag - a link to the paper
- the Github repo
spapi changed pull request status to merged