Instructions to use ruyadisk/span_selection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruyadisk/span_selection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ruyadisk/span_selection")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ruyadisk/span_selection") model = AutoModelForQuestionAnswering.from_pretrained("ruyadisk/span_selection") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 1
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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