Instructions to use siddharthl1293/albert-albert-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use siddharthl1293/albert-albert-large-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="siddharthl1293/albert-albert-large-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("siddharthl1293/albert-albert-large-v2") model = AutoModelForTokenClassification.from_pretrained("siddharthl1293/albert-albert-large-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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### Testing Results
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Testing accuracy was calculated on a test set wherein, all relationship tokens need to be identified in an example for the accuracy to be 1.
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The average testing accuracy across 37,509 testing examples is 0.
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### Framework versions
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### Testing Results
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Testing accuracy was calculated on a test set wherein, all relationship tokens need to be identified in an example for the accuracy to be 1.
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The average testing accuracy across 37,509 testing examples is 0.997.
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### Framework versions
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