Instructions to use tanthinhdt/ViAVSP_LLM_v2_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanthinhdt/ViAVSP_LLM_v2_0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tanthinhdt/ViAVSP_LLM_v2_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from tanthinhdt/ViAVSP_LLM_v2_0: direct link, hf CLI and curl.
- Browser
- Download file 223 Bytes
-
https://huggingface.co/tanthinhdt/ViAVSP_LLM_v2_0/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://tanthinhdt/ViAVSP_LLM_v2_0/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/tanthinhdt/ViAVSP_LLM_v2_0/resolve/main/preprocessor_config.json
223 Bytes
| { | |
| "audio_feat_dim": 104, | |
| "auto_map": { | |
| "AutoFeatureExtractor": "modelling.AVSPLLMFeatureExtractor" | |
| }, | |
| "feature_extractor_type": "AVSPLLMFeatureExtractor", | |
| "num_channels": 1, | |
| "num_frames": 76, | |
| "size": 88 | |
| } | |