Instructions to use StarRing2022/RWKV-4-Raven-3B-v11-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StarRing2022/RWKV-4-Raven-3B-v11-zh with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("StarRing2022/RWKV-4-Raven-3B-v11-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from StarRing2022/RWKV-4-Raven-3B-v11-zh: direct link, hf CLI and curl.
- Browser
- Download file 264 Bytes
-
https://huggingface.co/StarRing2022/RWKV-4-Raven-3B-v11-zh/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://StarRing2022/RWKV-4-Raven-3B-v11-zh/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/StarRing2022/RWKV-4-Raven-3B-v11-zh/resolve/main/tokenizer_config.json
264 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "tokenizer_class": "GPTNeoXTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |