Instructions to use Kromtao/50_07_15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kromtao/50_07_15 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Kromtao/50_07_15")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Kromtao/50_07_15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7eabbfbc3776e6e7ba896b7b1628da328429779608c94ff1154b12d50afe609
- Size of remote file:
- 3.51 GB
- SHA256:
- 1b35513f85093b3d9ed57efc16b0c35915d00309e82e2d18e6607853f0431a23
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