Instructions to use Deehan1866/PR-pass-structbert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deehan1866/PR-pass-structbert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Deehan1866/PR-pass-structbert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Deehan1866/PR-pass-structbert-large") model = AutoModelForQuestionAnswering.from_pretrained("Deehan1866/PR-pass-structbert-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08215eeb84832d382dbb75c6aea9c5f30deb18b46066a34ef8747028b3f3c113
- Size of remote file:
- 5.24 kB
- SHA256:
- c5b01b6e17a07d4097fa03b61bc39d31e1e32283ce8a97de29551432a80bef00
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.