Instructions to use FirstPotatoCoder/csm-1b-aivoice-merged-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/csm-1b-aivoice-merged-v3 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-v3")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("FirstPotatoCoder/csm-1b-aivoice-merged-v3") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/csm-1b-aivoice-merged-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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" | |
| } | |