Instructions to use shanthi-323/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shanthi-323/model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shanthi-323/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from shanthi-323/model: direct link, hf CLI and curl.
- Browser
- Download file 197 Bytes
-
https://huggingface.co/shanthi-323/model/resolve/main/config.json
- Command line
-
hf download hf://shanthi-323/model/config.json
-
curl -L -o config.json https://huggingface.co/shanthi-323/model/resolve/main/config.json
197 Bytes
| { | |
| "model_type": "codellama", | |
| "hidden_size": 4096, | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 40, | |
| "vocab_size": 32000, | |
| "intermediate_size": 11008, | |
| "use_parallel_residual": true | |
| } | |