Instructions to use AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_SECOND_EPOCHS_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_SECOND_EPOCHS_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_SECOND_EPOCHS_1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_SECOND_EPOCHS_1") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_SECOND_EPOCHS_1") - Notebooks
- Google Colab
- Kaggle
No model card
- Downloads last month
- 9