Instructions to use optimum/roberta-base-squad2-neuronx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum/roberta-base-squad2-neuronx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="optimum/roberta-base-squad2-neuronx")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("optimum/roberta-base-squad2-neuronx") model = AutoModelForQuestionAnswering.from_pretrained("optimum/roberta-base-squad2-neuronx") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("optimum/roberta-base-squad2-neuronx")
model = AutoModelForQuestionAnswering.from_pretrained("optimum/roberta-base-squad2-neuronx")Quick Links
This repo contains artifacts from deepset/roberta-base-squad2 but in neuronx format compatible with INF2 and TRN1 devices.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="optimum/roberta-base-squad2-neuronx")