Image Feature Extraction
Transformers
Safetensors
English
DeepseekOCR
text-generation-inference
unsloth
deepseek_vl_v2
custom_code
Instructions to use melsiddieg/deepseek_ocr_arabic_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melsiddieg/deepseek_ocr_arabic_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="melsiddieg/deepseek_ocr_arabic_v3", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("melsiddieg/deepseek_ocr_arabic_v3", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use melsiddieg/deepseek_ocr_arabic_v3 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for melsiddieg/deepseek_ocr_arabic_v3 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for melsiddieg/deepseek_ocr_arabic_v3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for melsiddieg/deepseek_ocr_arabic_v3 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="melsiddieg/deepseek_ocr_arabic_v3", max_seq_length=2048, )
| { | |
| "architectures": [ | |
| "DeepseekOCRForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "modeling_deepseekocr.DeepseekOCRConfig", | |
| "AutoModel": "modeling_deepseekocr.DeepseekOCRForCausalLM" | |
| }, | |
| "aux_loss_alpha": 0.001, | |
| "bos_token_id": 0, | |
| "candidate_resolutions": [ | |
| [ | |
| 1024, | |
| 1024 | |
| ] | |
| ], | |
| "torch_dtype": "bfloat16", | |
| "eos_token_id": 1, | |
| "first_k_dense_replace": 1, | |
| "global_view_pos": "head", | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 1280, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 6848, | |
| "kv_lora_rank": null, | |
| "language_config": { | |
| "architectures": [ | |
| "DeepseekV2ForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_deepseekv2.DeepseekV2Config", | |
| "AutoModel": "modeling_deepseek.DeepseekV2Model", | |
| "AutoModelForCausalLM": "modeling_deepseek.DeepseekV2ForCausalLM" | |
| }, | |
| "bos_token_id": 0, | |
| "eos_token_id": 1, | |
| "first_k_dense_replace": 1, | |
| "hidden_size": 1280, | |
| "intermediate_size": 6848, | |
| "kv_lora_rank": null, | |
| "lm_head": true, | |
| "max_position_embeddings": 8192, | |
| "moe_intermediate_size": 896, | |
| "n_group": 1, | |
| "n_routed_experts": 64, | |
| "n_shared_experts": 2, | |
| "num_attention_heads": 10, | |
| "num_experts_per_tok": 6, | |
| "num_hidden_layers": 12, | |
| "num_key_value_heads": 10, | |
| "q_lora_rank": null, | |
| "qk_nope_head_dim": 0, | |
| "qk_rope_head_dim": 0, | |
| "rm_head": false, | |
| "topk_group": 1, | |
| "topk_method": "greedy", | |
| "torch_dtype": "bfloat16", | |
| "use_mla": false, | |
| "v_head_dim": 0, | |
| "vocab_size": 129280 | |
| }, | |
| "lm_head": true, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "model_type": "DeepseekOCR", | |
| "moe_intermediate_size": 896, | |
| "n_group": 1, | |
| "n_routed_experts": 64, | |
| "n_shared_experts": 2, | |
| "norm_topk_prob": false, | |
| "num_attention_heads": 10, | |
| "num_experts_per_tok": 6, | |
| "num_hidden_layers": 12, | |
| "num_key_value_heads": 10, | |
| "pad_token_id": 2, | |
| "projector_config": { | |
| "input_dim": 2048, | |
| "model_type": "mlp_projector", | |
| "n_embed": 1280, | |
| "projector_type": "linear" | |
| }, | |
| "q_lora_rank": null, | |
| "qk_nope_head_dim": 0, | |
| "qk_rope_head_dim": 0, | |
| "rm_head": false, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "routed_scaling_factor": 1.0, | |
| "seq_aux": true, | |
| "tie_word_embeddings": false, | |
| "tile_tag": "2D", | |
| "topk_group": 1, | |
| "topk_method": "greedy", | |
| "transformers_version": "4.56.2", | |
| "unsloth_version": "2025.11.3", | |
| "use_cache": true, | |
| "use_mla": false, | |
| "v_head_dim": 0, | |
| "vision_config": { | |
| "image_size": 1024, | |
| "mlp_ratio": 3.7362, | |
| "model_name": "deeplip_b_l", | |
| "model_type": "vision", | |
| "width": { | |
| "clip-l-14-224": { | |
| "heads": 16, | |
| "image_size": 224, | |
| "layers": 24, | |
| "patch_size": 14, | |
| "width": 1024 | |
| }, | |
| "sam_vit_b": { | |
| "downsample_channels": [ | |
| 512, | |
| 1024 | |
| ], | |
| "global_attn_indexes": [ | |
| 2, | |
| 5, | |
| 8, | |
| 11 | |
| ], | |
| "heads": 12, | |
| "layers": 12, | |
| "width": 768 | |
| } | |
| } | |
| }, | |
| "vocab_size": 129280 | |
| } | |