Instructions to use cheng000/hand_b22_100k_imgAug_240813_imgAug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cheng000/hand_b22_100k_imgAug_240813_imgAug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cheng000/hand_b22_100k_imgAug_240813_imgAug", trust_remote_code=True)# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("cheng000/hand_b22_100k_imgAug_240813_imgAug", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bda8ff9e4a8e248ddf7b3d4ab143f4802d62a4de10c3f0f29ca6847787131dc
- Size of remote file:
- 4.95 GB
- SHA256:
- 4bbd24b8471dc9c05ea52dc2f58e442a135243ede045ebffd5af28e1ce7bc5bc
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