Image Classification
Transformers
Safetensors
English
siglip
tooth
SigLIP2
chemistry
biology
medical
Calculus
Mouth Ulcer
hypodontia
Tooth Discoloration
Gingivitis
tooth-agenesis
Instructions to use replyquickflorida/tooth-agenesis-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use replyquickflorida/tooth-agenesis-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="replyquickflorida/tooth-agenesis-model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("replyquickflorida/tooth-agenesis-model") model = AutoModelForImageClassification.from_pretrained("replyquickflorida/tooth-agenesis-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-770/optimizer.pt from replyquickflorida/tooth-agenesis-model: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/replyquickflorida/tooth-agenesis-model/resolve/main/checkpoint-770/optimizer.pt
- Command line
-
hf download hf://replyquickflorida/tooth-agenesis-model/checkpoint-770/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/replyquickflorida/tooth-agenesis-model/resolve/main/checkpoint-770/optimizer.pt
687 MB
- Xet hash:
- a7cf484c6e09927f468144ac4f6e86a41a33db5b4bee46979f7ea70c05d5a432
- Size of remote file:
- 687 MB
- SHA256:
- 3e80777f4d487951c583c74539c6d8361faf5d62c853a6ff24e88f4d7f85a99e
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