Instructions to use katuni4ka/tiny-random-chatglm2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use katuni4ka/tiny-random-chatglm2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="katuni4ka/tiny-random-chatglm2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("katuni4ka/tiny-random-chatglm2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 458 Bytes
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"added_tokens_decoder": {},
"auto_map": {
"AutoTokenizer": [
"katuni4ka/tiny-random-chatglm2--tokenization_chatglm.ChatGLMTokenizer",
null
]
},
"clean_up_tokenization_spaces": false,
"do_lower_case": false,
"eos_token": "</s>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<unk>",
"padding_side": "left",
"remove_space": false,
"tokenizer_class": "ChatGLMTokenizer",
"unk_token": "<unk>"
}
|