Instructions to use shreeramchandra/ser_wav2vec_indianEnglish_greek_pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shreeramchandra/ser_wav2vec_indianEnglish_greek_pretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="shreeramchandra/ser_wav2vec_indianEnglish_greek_pretrained")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("shreeramchandra/ser_wav2vec_indianEnglish_greek_pretrained") model = Wav2Vec2ForSpeechClassification.from_pretrained("shreeramchandra/ser_wav2vec_indianEnglish_greek_pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification
processor = AutoProcessor.from_pretrained("shreeramchandra/ser_wav2vec_indianEnglish_greek_pretrained")
model = Wav2Vec2ForSpeechClassification.from_pretrained("shreeramchandra/ser_wav2vec_indianEnglish_greek_pretrained", device_map="auto")Quick Links
README.md exists but content is empty.
- Downloads last month
- 7
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="shreeramchandra/ser_wav2vec_indianEnglish_greek_pretrained")