Question Answering
Transformers
PyTorch
English
bert
QA
Question Answering
SQuAD
Eval Results (legacy)
Instructions to use haritzpuerto/xtremedistil-l6-h256-uncased-squad_1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haritzpuerto/xtremedistil-l6-h256-uncased-squad_1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="haritzpuerto/xtremedistil-l6-h256-uncased-squad_1.1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("haritzpuerto/xtremedistil-l6-h256-uncased-squad_1.1") model = AutoModelForQuestionAnswering.from_pretrained("haritzpuerto/xtremedistil-l6-h256-uncased-squad_1.1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot