Instructions to use Atotti/Google-USM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atotti/Google-USM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Atotti/Google-USM")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Atotti/Google-USM") model = AutoModel.from_pretrained("Atotti/Google-USM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6b9c4cd6a2a7a735c38f0cdb76851faccb7c72460a4c386e9406e565c547a0b
- Size of remote file:
- 2.73 GB
- SHA256:
- c07b48dc2c7e5bd5a41f74551c337dcfb2e1eaf34d78ad2c52739e05832a4942
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