Instructions to use FirstPotatoCoder/csm-1b-aivoice-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/csm-1b-aivoice-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="FirstPotatoCoder/csm-1b-aivoice-merged")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("FirstPotatoCoder/csm-1b-aivoice-merged") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/csm-1b-aivoice-merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from FirstPotatoCoder/csm-1b-aivoice-merged: direct link, hf CLI and curl.
- Browser
- Download file 411 Bytes
-
https://huggingface.co/FirstPotatoCoder/csm-1b-aivoice-merged/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://FirstPotatoCoder/csm-1b-aivoice-merged/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/FirstPotatoCoder/csm-1b-aivoice-merged/resolve/main/tokenizer_config.json
411 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|begin_of_text|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|end_of_text|>", | |
| "is_local": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 131072, | |
| "model_specific_special_tokens": {}, | |
| "pad_token": "<|end_of_text|>", | |
| "processor_class": "CsmProcessor", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |