Instructions to use haritzpuerto/spanbert-large-cased_QAMR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haritzpuerto/spanbert-large-cased_QAMR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="haritzpuerto/spanbert-large-cased_QAMR")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("haritzpuerto/spanbert-large-cased_QAMR") model = AutoModelForQuestionAnswering.from_pretrained("haritzpuerto/spanbert-large-cased_QAMR") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload BertForQuestionAnswering 8a46fd6
initial commit 4269e62
Haritz Puerto commited on