Instructions to use VMware/electra-large-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/electra-large-mrqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VMware/electra-large-mrqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("VMware/electra-large-mrqa") model = AutoModelForQuestionAnswering.from_pretrained("VMware/electra-large-mrqa") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
c74743a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:159a10cd8a910f6f7245e4bdb03bf82a61bd2d87bc7e6e26d16ace95ab8b5afa
size 1336429528
|