Instructions to use elyx/banana1234 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elyx/banana1234 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="elyx/banana1234", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("elyx/banana1234", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from elyx/banana1234: direct link, hf CLI and curl.
- Browser
- Download file 232 Bytes
-
https://huggingface.co/elyx/banana1234/resolve/main/processor_config.json
- Command line
-
hf download hf://elyx/banana1234/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/elyx/banana1234/resolve/main/processor_config.json
232 Bytes
| { | |
| "audio_padding": "longest", | |
| "audio_placeholder": "<|audio|>", | |
| "auto_map": { | |
| "AutoProcessor": "processor.UltravoxProcessor" | |
| }, | |
| "encoder_ds_factor": 320, | |
| "processor_class": "UltravoxProcessor", | |
| "stack_factor": 8 | |
| } | |