Instructions to use TitanML/dummy_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TitanML/dummy_model with Transformers:
# Load model directly from transformers import AutoTokenizer, dummy tokenizer = AutoTokenizer.from_pretrained("TitanML/dummy_model") model = dummy.from_pretrained("TitanML/dummy_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 930 Bytes
4cc9d49 1037291 4cc9d49 1037291 4cc9d49 5022c74 4cc9d49 fc4cf62 4cc9d49 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"add_bos_token": true,
"add_eos_token": false,
"bos_token": "<|begin_of_text|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|eot_id|>",
"legacy": false,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "</s>",
"padding_side": "right",
"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
"unk_token": {
"__type": "AddedToken",
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}
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