Audio-Text-to-Text
Transformers
Safetensors
edgeinstant
feature-extraction
audio
text-to-speech
custom_code
Instructions to use chenjz24/EdgeIn-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chenjz24/EdgeIn-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chenjz24/EdgeIn-v3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from chenjz24/EdgeIn-v3: direct link, hf CLI and curl.
- Browser
- Download file 227 Bytes
-
https://huggingface.co/chenjz24/EdgeIn-v3/resolve/main/generation_config.json
- Command line
-
hf download hf://chenjz24/EdgeIn-v3/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/chenjz24/EdgeIn-v3/resolve/main/generation_config.json
227 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": [ | |
| 248046, | |
| 248046 | |
| ], | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 248044, | |
| "transformers_version": "5.12.1", | |
| "use_cache": true | |
| } | |