Instructions to use kusumakar/hashtagGenerater with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kusumakar/hashtagGenerater 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="kusumakar/hashtagGenerater")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("kusumakar/hashtagGenerater") model = AutoModelForMultimodalLM.from_pretrained("kusumakar/hashtagGenerater", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (67d4cd72d7e1a476729c74c80650a4e6ac1888c9) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>5f36d2a
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initial commit
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