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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcfaf93f8f6d5f6a3bcbb4f5ee3d175ef6c0948ea29ccc77826e88e92103891a
- Size of remote file:
- 3.58 kB
- SHA256:
- 6ff29b370091b6c7edba1b1b0016d319f140dfc6bd3c59fd053f4c58fc184d2f
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