Instructions to use UsernameNLP/calculator_model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UsernameNLP/calculator_model_test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("UsernameNLP/calculator_model_test") model = AutoModelForSeq2SeqLM.from_pretrained("UsernameNLP/calculator_model_test") - Notebooks
- Google Colab
- Kaggle
File size: 918 Bytes
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"content": "[EOS]",
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"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "[UNK]",
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"special": true
},
"2": {
"content": "[CLS]",
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},
"3": {
"content": "[PAD]",
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"special": true
}
},
"clean_up_tokenization_spaces": true,
"cls_token": "[CLS]",
"eos_token": "[EOS]",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "[PAD]",
"tokenizer_class": "PreTrainedTokenizerFast"
}
|