Image-to-Text
Transformers
Safetensors
Azerbaijani
glm_ocr
image-text-to-text
ocr
vision-language
markdown
azerbaijani
Instructions to use orucexe/azocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orucexe/azocr 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="orucexe/azocr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("orucexe/azocr") model = AutoModelForMultimodalLM.from_pretrained("orucexe/azocr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Modelfile from orucexe/azocr: direct link, hf CLI and curl.
- Browser
- Download file 398 Bytes
-
https://huggingface.co/orucexe/azocr/resolve/main/Modelfile
- Command line
-
hf download hf://orucexe/azocr/Modelfile
-
curl -L -o Modelfile https://huggingface.co/orucexe/azocr/resolve/main/Modelfile
398 Bytes
| # ollama modelfile auto-generated by llamafactory | |
| FROM . | |
| TEMPLATE """[gMASK]<sop>{{ if .System }}<|system|> | |
| {{ .System }}{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}<|user|> | |
| {{ .Content }}<|assistant|>{{ else if eq .Role "assistant" }} | |
| {{ .Content }}{{ end }}{{ end }}""" | |
| PARAMETER stop "<|user|>" | |
| PARAMETER stop "<|endoftext|>" | |
| PARAMETER stop "<|observation|>" | |
| PARAMETER num_ctx 4096 | |