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")# pip install -U transformers accelerate # 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
Training in progress, epoch 16
Browse files
pytorch_model.bin
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runs/May01_19-48-01_df63f918d674/events.out.tfevents.1682970486.df63f918d674.257.12
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