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:
- cb8b305d7927db3691f19db1f873b9e4c01fa25d7402a18b1899696433608e8f
- Size of remote file:
- 263 MB
- SHA256:
- d838aec75a29ba06a02acd7a6934d33aab7da6af74928e8d5e06fa515faa2cb8
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