Instructions to use BAAI/AquilaChat-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/AquilaChat-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BAAI/AquilaChat-7B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from BAAI/AquilaChat-7B: direct link, hf CLI and curl.
- Browser
- Download file 234 Bytes
-
https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://BAAI/AquilaChat-7B/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/tokenizer_config.json
234 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<|endoftext|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 2048, | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |