Instructions to use somukandula/maskara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somukandula/maskara with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="somukandula/maskara")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("somukandula/maskara") model = AutoModelForTokenClassification.from_pretrained("somukandula/maskara", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32d9e6d5c7c7fcf45512a72535cd1996c05da60f8c5e8be8c24bf5a3fb27c665
- Size of remote file:
- 436 MB
- SHA256:
- 0587beffa1064e66ea7502f3cf8b70706fa4c54dee54e28db2e96de318313646
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