Text-to-Speech
Transformers
Safetensors
Hindi
English
qwen2
text-generation
text-generation-inference
Instructions to use jaeyong2/neutts-air-hi-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaeyong2/neutts-air-hi-preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="jaeyong2/neutts-air-hi-preview")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jaeyong2/neutts-air-hi-preview") model = AutoModelForCausalLM.from_pretrained("jaeyong2/neutts-air-hi-preview", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from jaeyong2/neutts-air-hi-preview: direct link, hf CLI and curl.
- Browser
- Download file 12.1 MB
-
https://huggingface.co/jaeyong2/neutts-air-hi-preview/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://jaeyong2/neutts-air-hi-preview/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/jaeyong2/neutts-air-hi-preview/resolve/main/tokenizer_config.json
12.1 MB
- Xet hash:
- ea981926e9ae51c6f142c6fa359d6becb46b325f047205d85912c7ad7a7ea636
- Size of remote file:
- 12.1 MB
- SHA256:
- 058efca33cdb0e871f3e4f46c162cf3231e709129c0a024fb83317bffccd32f0
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