Instructions to use BBuf/RWKV-4-World-169M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BBuf/RWKV-4-World-169M with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BBuf/RWKV-4-World-169M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from BBuf/RWKV-4-World-169M: direct link, hf CLI and curl.
- Browser
- Download file 242 Bytes
-
https://huggingface.co/BBuf/RWKV-4-World-169M/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://BBuf/RWKV-4-World-169M/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/BBuf/RWKV-4-World-169M/resolve/main/tokenizer_config.json
242 Bytes
| { | |
| "name_or_path": "rwkv-world", | |
| "add_prefix_space": false, | |
| "tokenizer_class": "RWKVWorldTokenizer", | |
| "use_fast": false, | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_rwkv_world.RWKVWorldTokenizer", | |
| null | |
| ] | |
| } | |
| } |