Instructions to use facebook/w2v-bert-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/w2v-bert-2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/w2v-bert-2.0")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/w2v-bert-2.0") model = AutoModel.from_pretrained("facebook/w2v-bert-2.0") - Notebooks
- Google Colab
- Kaggle
Is it helpful for TTS? Is it possible to achieve the performance of OpenAI TTS?
#17
by shawnsh - opened
Is it helpful for TTS? Is it possible to achieve the performance of OpenAI TTS?
Hey @shawnsh - this model is for ASR. For TTS, you can check out the list of supported models here: https://huggingface.co/models?pipeline_tag=text-to-speech&sort=trending