Instructions to use aimarsg/testlink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimarsg/testlink with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aimarsg/testlink")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aimarsg/testlink") model = AutoModelForTokenClassification.from_pretrained("aimarsg/testlink", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5fb66d4f563a341aa81144ca95b98eb130d8f66246bb75967ccc478343d72f2
- Size of remote file:
- 3.58 kB
- SHA256:
- f348f1964e752adcefbf31941aa8453020f441882ff2c65fc9edac52d6c855e0
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