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:
- d0d0c31d03e3dd7b8bafa025a0b3c0d8fe0cea3b1c4f202d04015893d85318b1
- Size of remote file:
- 3.58 kB
- SHA256:
- c3fd4dfdbcb4911aedf7c3265718cb97782bfe9aa1e40f064c202337d9ac9c8e
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