Instructions to use ICTNLP/StreamUni-Phi4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ICTNLP/StreamUni-Phi4 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("ICTNLP/StreamUni-Phi4", set_active=True) - Notebooks
- Google Colab
- Kaggle
File size: 3,392 Bytes
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"added_tokens_decoder": {
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},
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},
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"chat_template": "{% for message in messages %}{% if message['role'] == 'system' and 'tools' in message and message['tools'] is not none %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|tool|>' + message['tools'] + '<|/tool|>' + '<|end|>' }}{% else %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|end|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>' }}{% else %}{{ eos_token }}{% endif %}",
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"eos_token": "<|endoftext|>",
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"processor_class": "Phi4MMProcessor",
"tokenizer_class": "GPT2Tokenizer",
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}
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