Instructions to use mazesmazes/tiny-audio-next-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazesmazes/tiny-audio-next-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mazesmazes/tiny-audio-next-encoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mazesmazes/tiny-audio-next-encoder", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_sample": false, | |
| "eos_token_id": [ | |
| 151645, | |
| 151645, | |
| 151643 | |
| ], | |
| "length_penalty": 1.0, | |
| "max_new_tokens": 256, | |
| "min_new_tokens": 0, | |
| "no_repeat_ngram_size": 0, | |
| "num_beams": 1, | |
| "pad_token_id": 151643, | |
| "repetition_penalty": 1.0, | |
| "transformers_version": "5.7.0", | |
| "use_cache": true | |
| } | |