Instructions to use othsueh/CombineCorpus_EXP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use othsueh/CombineCorpus_EXP with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import UpstreamFinetune model = UpstreamFinetune.from_pretrained("othsueh/CombineCorpus_EXP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from othsueh/CombineCorpus_EXP: direct link, hf CLI and curl.
- Browser
- Download file 384 Bytes
-
https://huggingface.co/othsueh/CombineCorpus_EXP/resolve/main/config.json
- Command line
-
hf download hf://othsueh/CombineCorpus_EXP/config.json
-
curl -L -o config.json https://huggingface.co/othsueh/CombineCorpus_EXP/resolve/main/config.json
384 Bytes
| { | |
| "architectures": [ | |
| "UpstreamFinetune" | |
| ], | |
| "classifier_output_dim": 6, | |
| "dropout": 0.2, | |
| "finetune_layers": 3, | |
| "hidden_dim": 64, | |
| "model_type": "wav2vec2-emodualhead", | |
| "num_layers": 3, | |
| "origin_upstream_url": "facebook/wav2vec2-base", | |
| "regressor_output_dim": 2, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.52.4", | |
| "upstream_model": "wav2vec2-base" | |
| } | |