Instructions to use aimarsg/testlink-class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimarsg/testlink-class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aimarsg/testlink-class")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aimarsg/testlink-class") model = AutoModelForTokenClassification.from_pretrained("aimarsg/testlink-class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71b15d39bbc91c9b62516ad0ed86b7ae2b2508841c79be5bdf4054bc2fc03de8
- Size of remote file:
- 496 MB
- SHA256:
- 4e27287704fc4afad2e96bfd5839e183057eb06f9c824bc1be8c79fe7355efc8
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