Instructions to use somukandula/maskara-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somukandula/maskara-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="somukandula/maskara-tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("somukandula/maskara-tiny") model = AutoModelForTokenClassification.from_pretrained("somukandula/maskara-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae6f091497f599f347452c02c8350fba82e71480f4c60688b428722848e203b3
- Size of remote file:
- 5.24 kB
- SHA256:
- bbd413cfed094c4e24cb4765861f95f94cfd1e3eef02cb1de437287662118cd8
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