Instructions to use RJ3vans/SignTagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RJ3vans/SignTagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RJ3vans/SignTagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RJ3vans/SignTagger") model = AutoModelForTokenClassification.from_pretrained("RJ3vans/SignTagger") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fd29926cac06629c17bb5023048a2d1bf59213344b40fb86467e3803c5544d3
- Size of remote file:
- 1.33 GB
- SHA256:
- 20d29ae5822f6da73266e8e12a1ac8b5ebb2375ade01a82adc39b3eb01be52bb
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