Instructions to use aimarsg/testlink-class-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimarsg/testlink-class-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aimarsg/testlink-class-2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aimarsg/testlink-class-2") model = AutoModelForTokenClassification.from_pretrained("aimarsg/testlink-class-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08ead2696dea8fd96042c1c0d9156db1a8f92aad68a61bf5a311d175dc93e5b0
- Size of remote file:
- 496 MB
- SHA256:
- 9a69f0532c058331df4b06fe61697db40f0b441ec5e74f1c96beb4a04b90dc52
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