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 vocab.json from nwhamed/Merged_Model: direct link, hf CLI and curl.
- Browser
- Download file 192 Bytes
-
https://huggingface.co/nwhamed/Merged_Model/resolve/main/vocab.json
- Command line
-
hf download hf://nwhamed/Merged_Model/vocab.json
-
curl -L -o vocab.json https://huggingface.co/nwhamed/Merged_Model/resolve/main/vocab.json
192 Bytes
Invalid JSON:Unexpected token 'v', "vocab_json"... is not valid JSON
| vocab_json = { | |
| "vocab_size": 10000, # Example vocab size | |
| "special_tokens": { | |
| "pad_token": "[PAD]", | |
| "unk_token": "[UNK]", | |
| "cls_token": "[CLS]", | |
| "sep_token": "[SEP]", | |
| "mask_token": "[MASK]", | |
| } | |
| } |