Image-Text-to-Text
Safetensors
MLX
mlx-vlm
indic_ocr
ocr
document-parsing
layout-analysis
reading-order
indic
Instructions to use HashNuke/indic-ocr-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use HashNuke/indic-ocr-mlx with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("HashNuke/indic-ocr-mlx") config = load_config("HashNuke/indic-ocr-mlx") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download weights/ocr/config.json from HashNuke/indic-ocr-mlx: direct link, hf CLI and curl.
- Browser
- Download file 3.85 kB
-
https://huggingface.co/HashNuke/indic-ocr-mlx/resolve/main/weights/ocr/config.json
- Command line
-
hf download hf://HashNuke/indic-ocr-mlx/weights/ocr/config.json
-
curl -L -o config.json https://huggingface.co/HashNuke/indic-ocr-mlx/resolve/main/weights/ocr/config.json
3.85 kB
| { | |
| "architectures": [ | |
| "Qwen3_5ForConditionalGeneration" | |
| ], | |
| "chunk_size_feed_forward": 0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 262146, | |
| "generation_config": { | |
| "_from_model_config": true, | |
| "eos_token_id": 262146, | |
| "transformers_version": "5.6.2", | |
| "use_cache": true | |
| }, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "image_token_id": 262155, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "model_type": "indic_ocr", | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "problem_type": null, | |
| "return_dict": true, | |
| "text_config": { | |
| "_name_or_path": "", | |
| "architectures": null, | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attn_output_gate": true, | |
| "bos_token_id": null, | |
| "chunk_size_feed_forward": 0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 262146, | |
| "full_attention_interval": 4, | |
| "head_dim": 256, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3584, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "layer_types": [ | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention" | |
| ], | |
| "linear_conv_kernel_dim": 4, | |
| "linear_key_head_dim": 128, | |
| "linear_num_key_heads": 16, | |
| "linear_num_value_heads": 16, | |
| "linear_value_head_dim": 128, | |
| "mamba_ssm_dtype": "float32", | |
| "max_position_embeddings": 262144, | |
| "mlp_only_layers": [], | |
| "model_type": "qwen3_5_text", | |
| "mtp_num_hidden_layers": 1, | |
| "mtp_use_dedicated_embeddings": false, | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 2, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 262144, | |
| "partial_rotary_factor": 0.25, | |
| "problem_type": null, | |
| "return_dict": true, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "mrope_interleaved": true, | |
| "mrope_section": [ | |
| 11, | |
| 11, | |
| 10 | |
| ], | |
| "partial_rotary_factor": 0.25, | |
| "rope_theta": 10000000, | |
| "rope_type": "default" | |
| }, | |
| "tie_word_embeddings": true, | |
| "use_cache": false, | |
| "vocab_size": 262157 | |
| }, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.6.2", | |
| "use_cache": false, | |
| "video_token_id": 262156, | |
| "vision_config": { | |
| "_name_or_path": "", | |
| "architectures": null, | |
| "chunk_size_feed_forward": 0, | |
| "deepstack_visual_indexes": [], | |
| "depth": 12, | |
| "dtype": "bfloat16", | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "model_type": "qwen3_5_vision", | |
| "num_heads": 12, | |
| "num_position_embeddings": 2304, | |
| "out_hidden_size": 1024, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "patch_size": 16, | |
| "problem_type": null, | |
| "return_dict": true, | |
| "spatial_merge_size": 2, | |
| "temporal_patch_size": 2 | |
| }, | |
| "vision_end_token_id": 262154, | |
| "vision_start_token_id": 262153 | |
| } |