Image Classification
Transformers
Safetensors
English
siglip
Hindi-Sign-Language-Detection
SigLIP2
93M
Instructions to use prithivMLmods/Hindi-Sign-Language-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Hindi-Sign-Language-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Hindi-Sign-Language-Detection") 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("prithivMLmods/Hindi-Sign-Language-Detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Hindi-Sign-Language-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-506/optimizer.pt from prithivMLmods/Hindi-Sign-Language-Detection: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/prithivMLmods/Hindi-Sign-Language-Detection/resolve/main/checkpoint-506/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/Hindi-Sign-Language-Detection/checkpoint-506/optimizer.pt
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curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/Hindi-Sign-Language-Detection/resolve/main/checkpoint-506/optimizer.pt
687 MB
- Xet hash:
- f34095eb48a826f6d3179d5656ba9c42200174edc769459f78d91b69718958f4
- Size of remote file:
- 687 MB
- SHA256:
- 3cb0a64e7796e9eb478c5cf7570b66552e509a93c10adbf0505432dda9765b3a
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