Instructions to use aiseosae/trainer02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiseosae/trainer02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="aiseosae/trainer02")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("aiseosae/trainer02") model = AutoModelForCausalLM.from_pretrained("aiseosae/trainer02") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dc353bc5a2ce456efbb0971b064901de31081a1a24c07384c45ec2710da944b
- Size of remote file:
- 79.5 MB
- SHA256:
- 4b8164cc6606bfa627f1a784734c1e539891518f1191ed9194fe1e3b9b4bff40
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