Image-to-Text
Transformers
Safetensors
Hindi
vision-encoder-decoder
image-text-to-text
image caption
Instructions to use BhashaAI/hindi-image-caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BhashaAI/hindi-image-caption 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="BhashaAI/hindi-image-caption")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("BhashaAI/hindi-image-caption") model = AutoModelForMultimodalLM.from_pretrained("BhashaAI/hindi-image-caption", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -6,6 +6,7 @@ language:
|
|
| 6 |
- hi
|
| 7 |
library_name: transformers
|
| 8 |
pipeline_tag: image-to-text
|
|
|
|
| 9 |
tags:
|
| 10 |
- image caption
|
| 11 |
---
|
|
|
|
| 6 |
- hi
|
| 7 |
library_name: transformers
|
| 8 |
pipeline_tag: image-to-text
|
| 9 |
+
inference: False
|
| 10 |
tags:
|
| 11 |
- image caption
|
| 12 |
---
|