Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Serbian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Sagicc/whisper-medium-sr-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sagicc/whisper-medium-sr-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sagicc/whisper-medium-sr-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sagicc/whisper-medium-sr-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sagicc/whisper-medium-sr-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.pt with huggingface_hub
Browse files- pytorch_model.pt +3 -0
pytorch_model.pt
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