Image-to-Text
Transformers
Safetensors
Turkish
vision-encoder-decoder
image-text-to-text
image-captioning
Instructions to use atasoglu/vit-base-patch16-224-turkish-gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atasoglu/vit-base-patch16-224-turkish-gpt2 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="atasoglu/vit-base-patch16-224-turkish-gpt2")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("atasoglu/vit-base-patch16-224-turkish-gpt2") model = AutoModelForImageTextToText.from_pretrained("atasoglu/vit-base-patch16-224-turkish-gpt2") - Notebooks
- Google Colab
- Kaggle
Update config.json
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by atasoglu - opened
- config.json +1 -1
config.json
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length":
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}
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},
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"temperature": 1.0,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 20
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}
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},
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"temperature": 1.0,
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