Instructions to use codefuse-ai/CodeFuse-CodeGeeX2-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codefuse-ai/CodeFuse-CodeGeeX2-6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="codefuse-ai/CodeFuse-CodeGeeX2-6B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codefuse-ai/CodeFuse-CodeGeeX2-6B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 344 Bytes
e753166 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"auto_map": {
"AutoTokenizer": [
"tokenization_chatglm.ChatGLMTokenizer",
null
]
},
"clean_up_tokenization_spaces": false,
"do_lower_case": false,
"legacy": false,
"model_max_length": 1000000000000000019884624838656,
"padding_side": "left",
"remove_space": false,
"tokenizer_class": "ChatGLMTokenizer"
}
|