Instructions to use zehansunesara/pytorch-debug-assistant-phi3-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zehansunesara/pytorch-debug-assistant-phi3-mini with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zehansunesara/pytorch-debug-assistant-phi3-mini", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 3,340 Bytes
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"add_eos_token": false,
"add_prefix_space": null,
"added_tokens_decoder": {
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"content": "<unk>",
"lstrip": false,
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"single_word": false,
"special": true
},
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"2": {
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"content": "<|endoftext|>",
"lstrip": false,
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"rstrip": false,
"single_word": false,
"special": true
},
"32001": {
"content": "<|assistant|>",
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"content": "<|placeholder1|>",
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"content": "<|system|>",
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},
"32007": {
"content": "<|end|>",
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}
},
"bos_token": "<s>",
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
"clean_up_tokenization_spaces": false,
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"legacy": false,
"model_max_length": 4096,
"pad_token": "<|endoftext|>",
"padding_side": "right",
"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
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