Instructions to use od2025/zero_point with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use od2025/zero_point with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="od2025/zero_point")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("od2025/zero_point", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1b76d7b982c6d974f29d44be48f5b83edc2282c697094ce39144e518cf2bb4a
- Size of remote file:
- 3.51 GB
- SHA256:
- d96c2515bd17a9048c7a5583d9b9619d8e3524f18d0f5c14adfa1a260d9de895
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