Instructions to use somukandula/maskara-tiny-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somukandula/maskara-tiny-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="somukandula/maskara-tiny-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("somukandula/maskara-tiny-v2") model = AutoModelForTokenClassification.from_pretrained("somukandula/maskara-tiny-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03238a0439e62a943f765e3204b6e4de175b8d3ce47f6a8e1da2337f2189ce8f
- Size of remote file:
- 5.18 kB
- SHA256:
- 31bdb0d0e302377952cde36bdeffffc79ac47f18079da418c80f811ff10267db
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