Instructions to use mikhail-panzo/zlm_b32_le4_s4000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikhail-panzo/zlm_b32_le4_s4000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="mikhail-panzo/zlm_b32_le4_s4000")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("mikhail-panzo/zlm_b32_le4_s4000") model = AutoModelForTextToSpectrogram.from_pretrained("mikhail-panzo/zlm_b32_le4_s4000") - Notebooks
- Google Colab
- Kaggle
File size: 190 Bytes
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"bos_token_id": 0,
"decoder_start_token_id": 2,
"eos_token_id": 2,
"max_length": 1876,
"pad_token_id": 1,
"transformers_version": "4.41.0.dev0"
}
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