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:
- 6bba3212b8efbe11a74c18f329a1f85e725d90286fe15b7c641bb654616d1a44
- Size of remote file:
- 4.93 GB
- SHA256:
- bf712bd619a168ec0f9338c73f4ebb3d9a78403b686f6b51973da9c124a280b9
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