Image-to-Text
Transformers
Safetensors
Vietnamese
vision-encoder-decoder
image-text-to-text
image-captioning
vietnamese
deit
gpt2
Instructions to use slyviee/vietnamese-image-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slyviee/vietnamese-image-captioning 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="slyviee/vietnamese-image-captioning")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("slyviee/vietnamese-image-captioning") model = AutoModelForImageTextToText.from_pretrained("slyviee/vietnamese-image-captioning") - Notebooks
- Google Colab
- Kaggle
File size: 248 Bytes
32874cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"_from_model_config": true,
"bos_token_id": 50257,
"eos_token_id": [
50257,
50256
],
"output_attentions": false,
"output_hidden_states": false,
"pad_token_id": 50257,
"transformers_version": "5.0.0",
"use_cache": true
}
|