Instructions to use aimarsg/testlink-class-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimarsg/testlink-class-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aimarsg/testlink-class-3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aimarsg/testlink-class-3") model = AutoModelForTokenClassification.from_pretrained("aimarsg/testlink-class-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f5580d86faf3b1f863ade718daa57b2ece5067fdb9927db44682af979f0bc0e
- Size of remote file:
- 496 MB
- SHA256:
- 60878505d2b57e0901b6008edebdfddcbb6a1506e38053bb2174344c67749f2e
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