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
File size: 316 Bytes
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"do_sample": false,
"eos_token_id": [
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"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
}
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