Instructions to use khazarai/Cardiology-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use khazarai/Cardiology-TTS with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/csm-1b") model = PeftModel.from_pretrained(base_model, "khazarai/Cardiology-TTS") - Transformers
How to use khazarai/Cardiology-TTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="khazarai/Cardiology-TTS")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("khazarai/Cardiology-TTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from khazarai/Cardiology-TTS: direct link, hf CLI and curl.
- Browser
- Download file 449 Bytes
-
https://huggingface.co/khazarai/Cardiology-TTS/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://khazarai/Cardiology-TTS/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/khazarai/Cardiology-TTS/resolve/main/special_tokens_map.json
449 Bytes
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|end_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|end_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |