Instructions to use syvai/plapre-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syvai/plapre-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="syvai/plapre-3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("syvai/plapre-3") model = AutoModelForCausalLM.from_pretrained("syvai/plapre-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from syvai/plapre-3: direct link, hf CLI and curl.
- Browser
- Download file 3.04 MB
-
https://huggingface.co/syvai/plapre-3/resolve/main/tokenizer.json
- Command line
-
hf download hf://syvai/plapre-3/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/syvai/plapre-3/resolve/main/tokenizer.json
3.04 MB
File too large to display, you can check the raw version instead.