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:
- 1fa784de5b170f5d6a39336efcb7560bf537b168d297d1678b8b1a4977eebb89
- Size of remote file:
- 31.1 MB
- SHA256:
- f84cccd87e086157b4c7d5a25bec0b34477c3110e00f1ba8698511f17437a56c
路
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