Instructions to use elyx/asdasd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elyx/asdasd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="elyx/asdasd", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("elyx/asdasd", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "UltravoxModel" | |
| ], | |
| "audio_latency_block_size": null, | |
| "audio_model_id": "openai/whisper-tiny", | |
| "auto_map": { | |
| "AutoConfig": "config.UltravoxConfig", | |
| "AutoModel": "model.UltravoxModel" | |
| }, | |
| "hidden_size": 4096, | |
| "ignore_index": -100, | |
| "initializer_range": 0.02, | |
| "model_type": "ultravox", | |
| "norm_init": 0.4, | |
| "projector_act": "swiglu", | |
| "stack_factor": 8, | |
| "text_config": { | |
| "head_dim": 2, | |
| "hidden_size": 64, | |
| "model_type": "llama", | |
| "num_hidden_layers": 1, | |
| "vocab_size": 128128 | |
| }, | |
| "text_model_id": null, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.46.3", | |
| "vocab_size": 128128 | |
| } | |