Instructions to use Gen-Verse/MMaDA-8B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gen-Verse/MMaDA-8B-Base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gen-Verse/MMaDA-8B-Base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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@@ -2164,7 +2164,7 @@
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"<|number_end|>"
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],
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"bos_token": "<|startoftext|>",
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"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n
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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"eos_token": "<|endoftext|>",
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"<|number_end|>"
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],
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"bos_token": "<|startoftext|>",
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"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n' }}",
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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"eos_token": "<|endoftext|>",
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