Image-to-Text
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
OCR
vision-language
VLM
Reasoning
document-to-markdown
qwen2.5
markdown
extraction
RAG
text-generation-inference
Instructions to use numind/NuMarkdown-8B-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuMarkdown-8B-Thinking 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="numind/NuMarkdown-8B-Thinking")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("numind/NuMarkdown-8B-Thinking") model = AutoModelForMultimodalLM.from_pretrained("numind/NuMarkdown-8B-Thinking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -140,7 +140,7 @@ messages = [{
|
|
| 140 |
]
|
| 141 |
}]
|
| 142 |
|
| 143 |
-
prompt =
|
| 144 |
messages,
|
| 145 |
tokenize=False,
|
| 146 |
add_generation_prompt=True,
|
|
|
|
| 140 |
]
|
| 141 |
}]
|
| 142 |
|
| 143 |
+
prompt = processor.apply_chat_template(
|
| 144 |
messages,
|
| 145 |
tokenize=False,
|
| 146 |
add_generation_prompt=True,
|