Instructions to use YuvanKumar/sam-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuvanKumar/sam-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="YuvanKumar/sam-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("YuvanKumar/sam-finetuned") model = AutoModelForMaskGeneration.from_pretrained("YuvanKumar/sam-finetuned") - Notebooks
- Google Colab
- Kaggle
Ankit Kumar commited on
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README.md
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---
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license: apache-2.0
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base_model: AgniVardhan/sam-finetuned
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tags:
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- generated_from_keras_callback
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model-index:
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- name: sam-finetuned
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results: []
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---
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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base_model: AgniVardhan/sam-finetuned
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model-index:
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- name: sam-finetuned
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results: []
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