Instructions to use deepset/xlm-roberta-base-squad2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/xlm-roberta-base-squad2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/xlm-roberta-base-squad2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/xlm-roberta-base-squad2-distilled") model = AutoModelForQuestionAnswering.from_pretrained("deepset/xlm-roberta-base-squad2-distilled") - Notebooks
- Google Colab
- Kaggle
[AUTOMATED] Model Memory Requirements
#6 opened over 2 years ago
by
model-sizer-bot
This is roberta-base not distilled
4
#4 opened over 3 years ago
by
bilalghanem
Add evaluation results on the squad_v2 config of squad_v2
#3 opened over 3 years ago
by
autoevaluator
Add evaluation results on the squad_v2 config of squad_v2
7
#1 opened almost 4 years ago
by
autoevaluator