Text-to-Speech
Transformers
Safetensors
Spanish
English
qwen2
text-generation
text-generation-inference
Instructions to use jaeyong2/neutts-air-es-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaeyong2/neutts-air-es-preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="jaeyong2/neutts-air-es-preview")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jaeyong2/neutts-air-es-preview") model = AutoModelForCausalLM.from_pretrained("jaeyong2/neutts-air-es-preview") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94e1a939047fb70978ac7c717ebd0778f433f0796858b98d6b0d74531aeaae1c
- Size of remote file:
- 24.1 MB
- SHA256:
- 74c466530bd698626a5b6a424d204711c58dfff0a6b3dd8b4dbac1e1e8c9aa87
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