Instructions to use harish/SemEval2022Task2SubTask2ABaseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/SemEval2022Task2SubTask2ABaseline with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/SemEval2022Task2SubTask2ABaseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 301 Bytes
6f136b4 | 1 2 3 | epoch,steps,cosine_pearson,cosine_spearman,euclidean_pearson,euclidean_spearman,manhattan_pearson,manhattan_spearman,dot_pearson,dot_spearman
-1,-1,0.8292630828165106,0.7998076959816071,0.8111914537624083,0.7957289259772087,0.811263624860446,0.7959313320750702,0.7583753141076951,0.6920700766848666
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