Instructions to use InternScience/StructTable-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternScience/StructTable-base 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="InternScience/StructTable-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("InternScience/StructTable-base") model = AutoModelForImageTextToText.from_pretrained("InternScience/StructTable-base") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "ckpts/StructTable-base", | |
| "architectures": [ | |
| "Pix2StructForConditionalGeneration" | |
| ], | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "is_encoder_decoder": true, | |
| "is_vqa": false, | |
| "model_type": "pix2struct", | |
| "pad_token_id": 0, | |
| "text_config": { | |
| "dropout_rate": 0.2, | |
| "encoder_hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "model_type": "pix2struct_text_model", | |
| "vocab_size": 77078 | |
| }, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.39.1", | |
| "use_cache": false, | |
| "vision_config": { | |
| "attention_dropout": 0.2, | |
| "dropout_rate": 0.2, | |
| "hidden_dropout_prob": 0.2, | |
| "initializer_range": 0.02, | |
| "layer_norm_bias": false, | |
| "model_type": "pix2struct_vision_model", | |
| "num_channels": 3, | |
| "patch_size": 16, | |
| "projection_dim": 768 | |
| } | |
| } | |