Instructions to use nwhamed/Merged_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nwhamed/Merged_Model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nwhamed/Merged_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from nwhamed/Merged_Model: direct link, hf CLI and curl.
- Browser
- Download file 300 Bytes
-
https://huggingface.co/nwhamed/Merged_Model/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://nwhamed/Merged_Model/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/nwhamed/Merged_Model/resolve/main/tokenizer_config.json
300 Bytes
| { | |
| "models": [ | |
| { | |
| "model": "google/gemma-7b", | |
| "parameters": { | |
| "param1": "value1", | |
| "param2": "value2" | |
| } | |
| }, | |
| { | |
| "model": "CohereForAI/c4ai-command-r-v01", | |
| "parameters": { | |
| "param1": "value1", | |
| "param2": "value2" | |
| } | |
| } | |
| ] | |
| } | |