Instructions to use openbmb/MiniCPM-2B-sft-bf16-llama-format with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-2B-sft-bf16-llama-format with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-2B-sft-bf16-llama-format", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -38,5 +38,5 @@
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false,
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-
"chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{'<用户>' + message['content']
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}
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false,
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+
"chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{'<用户>' + message['content'] + '<AI>'}}{% else %}{{message['content']}}{% endif %}{% endfor %}"
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}
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