Instructions to use MOSS550V/divination with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MOSS550V/divination with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MOSS550V/divination", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MOSS550V/divination", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 517 Bytes
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"auto_map": {
"AutoTokenizer": [
"tokenization_chatglm.ChatGLMTokenizer",
null
]
},
"bos_token": "<sop>",
"do_lower_case": false,
"end_token": "</s>",
"eos_token": "<eop>",
"gmask_token": "[gMASK]",
"mask_token": "[MASK]",
"model_max_length": 1000000000000000019884624838656,
"num_image_tokens": 0,
"pad_token": "<pad>",
"padding_side": "left",
"remove_space": false,
"special_tokens_map_file": null,
"tokenizer_class": "ChatGLMTokenizer",
"unk_token": "<unk>"
}
|