Instructions to use Legalaz/llabo_09_13_12_04 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Legalaz/llabo_09_13_12_04 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Legalaz/llabo_09_13_12_04")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Legalaz/llabo_09_13_12_04", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17e8ed389e6cc75632e687163128541e0fb99afe1091f931cdca1d934f1462af
- Size of remote file:
- 3.51 GB
- SHA256:
- 59676ab94593995de2d97890196fbedc9159c9642d7b4c460636852bbe8ab972
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