Instructions to use Barleysack/AERoberta2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Barleysack/AERoberta2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Barleysack/AERoberta2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Barleysack/AERoberta2") model = AutoModelForQuestionAnswering.from_pretrained("Barleysack/AERoberta2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c2b535faf1258f0dd2ed72431556fb8776e73e468e6fdde688d8fcd2aa653fb
- Size of remote file:
- 1.36 GB
- SHA256:
- 970940bbb1c9d1f054ee16e77dc43c40e623e5d1f2026cfa2c0a50c04aa7dc1a
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