Instructions to use AmineAllo/MT-fallen-firebrand-113 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmineAllo/MT-fallen-firebrand-113 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AmineAllo/MT-fallen-firebrand-113")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AmineAllo/MT-fallen-firebrand-113") model = AutoModelForObjectDetection.from_pretrained("AmineAllo/MT-fallen-firebrand-113", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a81ba0aa17537c9255d5b77054480a68f7fa1e8c59499e75affbd0566fc9f856
- Size of remote file:
- 115 MB
- SHA256:
- 1df3002d40e4a4e37f44c8053db9cf535da61f254ea5ccb11fbd6e60b085492e
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