Image-to-Text
Transformers
Safetensors
English
qwen2_vl
image-text-to-text
vision-language-model
document-understanding
handwritten-text
insurance-forms
vqa
phi-3.5-vision
lora
qlora
unsloth
medical-forms
ocr-free
Eval Results (legacy)
text-generation-inference
Instructions to use solvrays/mdf-form-reader-phi35-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use solvrays/mdf-form-reader-phi35-vision 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="solvrays/mdf-form-reader-phi35-vision")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("solvrays/mdf-form-reader-phi35-vision") model = AutoModelForImageTextToText.from_pretrained("solvrays/mdf-form-reader-phi35-vision") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use solvrays/mdf-form-reader-phi35-vision 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 solvrays/mdf-form-reader-phi35-vision 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 solvrays/mdf-form-reader-phi35-vision to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for solvrays/mdf-form-reader-phi35-vision to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="solvrays/mdf-form-reader-phi35-vision", max_seq_length=2048, )
File size: 2,361 Bytes
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"architectures": [
"Qwen2VLForConditionalGeneration"
],
"dtype": "bfloat16",
"image_token_id": 151655,
"model_name": "unsloth/qwen2-vl-7b-instruct",
"model_type": "qwen2_vl",
"pad_token_id": 151654,
"text_config": {
"attention_dropout": 0.0,
"bos_token_id": 151643,
"dtype": "bfloat16",
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 3584,
"initializer_range": 0.02,
"intermediate_size": 18944,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
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],
"max_position_embeddings": 32768,
"max_window_layers": 28,
"model_type": "qwen2_vl_text",
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"pad_token_id": 151654,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"mrope_section": [
16,
24,
24
],
"rope_theta": 1000000.0,
"rope_type": "default",
"type": "default"
},
"sliding_window": null,
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 152064
},
"tie_word_embeddings": false,
"transformers_version": "5.5.0",
"unsloth_fixed": true,
"unsloth_version": "2026.5.2",
"video_token_id": 151656,
"vision_config": {
"depth": 32,
"dtype": "bfloat16",
"embed_dim": 1280,
"hidden_act": "quick_gelu",
"hidden_size": 3584,
"in_channels": 3,
"in_chans": 3,
"initializer_range": 0.02,
"mlp_ratio": 4,
"model_type": "qwen2_vl",
"num_heads": 16,
"patch_size": 14,
"spatial_merge_size": 2,
"spatial_patch_size": 14,
"temporal_patch_size": 2
},
"vision_end_token_id": 151653,
"vision_start_token_id": 151652,
"vision_token_id": 151654
}
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