Instructions to use Xenova/deplot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/deplot with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-text-to-text', 'Xenova/deplot');
| { | |
| "_name_or_path": "google/deplot", | |
| "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": { | |
| "encoder_hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "model_type": "pix2struct_text_model" | |
| }, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.36.2", | |
| "vision_config": { | |
| "initializer_range": 0.02, | |
| "layer_norm_bias": false, | |
| "model_type": "pix2struct_vision_model", | |
| "num_channels": 3, | |
| "patch_size": 16, | |
| "projection_dim": 768 | |
| } | |
| } | |