Instructions to use Ad-adv/nuextract-tiny-cv-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ad-adv/nuextract-tiny-cv-extraction with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ad-adv/nuextract-tiny-cv-extraction", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 560 Bytes
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"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|end-output|>",
"errors": "replace",
"extra_special_tokens": [
"<|im_start|>",
"<|im_end|>"
],
"is_local": false,
"local_files_only": false,
"max_length": 2048,
"model_max_length": 32768,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"stride": 0,
"tokenizer_class": "Qwen2Tokenizer",
"truncation_side": "right",
"truncation_strategy": "longest_first",
"unk_token": null
}
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