Instructions to use ZhankuiHe/gpt8gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZhankuiHe/gpt8gen with Transformers:
# Load model directly from transformers import Switch4GenModule model = Switch4GenModule.from_pretrained("ZhankuiHe/gpt8gen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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@@ -27,7 +27,7 @@
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}
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},
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"bos_token": "<|endoftext|>",
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"chat_template": "{% for message in messages %}{{ message.role + '\n' + message.content
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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}
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},
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"bos_token": "<|endoftext|>",
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"chat_template": "{% for message in messages %}{{ message.role + '\n' + message.content | replace('_', ' ') }}{{ eos_token + '\n' }}{% endfor %}{{ 'assistant\n' }}",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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