Instructions to use shreyas1104/wav2vec2-conformer-rel-pos-large-medical-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shreyas1104/wav2vec2-conformer-rel-pos-large-medical-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="shreyas1104/wav2vec2-conformer-rel-pos-large-medical-intent")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("shreyas1104/wav2vec2-conformer-rel-pos-large-medical-intent") model = AutoModelForAudioClassification.from_pretrained("shreyas1104/wav2vec2-conformer-rel-pos-large-medical-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle