Instructions to use rikeshVertex/test_upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rikeshVertex/test_upload with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rikeshVertex/test_upload", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 805 Bytes
889e455 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"add_prefix_space": false,
"auto_map": {
"AutoProcessor": "processing_paddleocr_vl.PaddleOCRVLProcessor"
},
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"cls_token": "<|begin_of_sentence|>",
"eos_token": "</s>",
"image_token": "<|IMAGE_PLACEHOLDER|>",
"is_local": false,
"legacy": true,
"local_files_only": false,
"mask_token": "<mask:1>",
"model_max_length": 131072,
"model_specific_special_tokens": {
"image_token": "<|IMAGE_PLACEHOLDER|>"
},
"pad_token": "<unk>",
"processor_class": "PaddleOCRVLProcessor",
"sep_token": "<|end_of_sentence|>",
"sp_model_kwargs": {},
"spaces_between_special_tokens": false,
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
|