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")# 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
File size: 398 Bytes
3169ae5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | # 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
|