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:
- ae2eb266ec2ee3a3e341ac54666f5147eb355a5debf478dcb4d1d1295c2fddeb
- Size of remote file:
- 5.2 kB
- SHA256:
- fb4578c7c2e207f02a567bad808e0609a42b587d77437daed3058ed3af67d44f
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