Question Answering
Transformers
PyTorch
TensorFlow
English
longformer
QA
long context
Q&A
Eval Results (legacy)
Instructions to use mrm8488/longformer-base-4096-finetuned-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/longformer-base-4096-finetuned-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/longformer-base-4096-finetuned-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/longformer-base-4096-finetuned-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/longformer-base-4096-finetuned-squadv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
autoevaluator HF Staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#4)
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