Instructions to use artificialguybr/textcaps-teste2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artificialguybr/textcaps-teste2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="artificialguybr/textcaps-teste2")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("artificialguybr/textcaps-teste2") model = AutoModelForImageTextToText.from_pretrained("artificialguybr/textcaps-teste2") - Notebooks
- Google Colab
- Kaggle
File size: 453 Bytes
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"cls_token": "[CLS]",
"do_lower_case": true,
"mask_token": "[MASK]",
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 512,
"name_or_path": "bert-base-uncased",
"pad_token": "[PAD]",
"processor_class": "GitProcessor",
"sep_token": "[SEP]",
"special_tokens_map_file": null,
"strip_accents": null,
"tokenize_chinese_chars": true,
"tokenizer_class": "BertTokenizer",
"unk_token": "[UNK]"
}
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