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:
- b4465f453e43d3cd62284969f67c23ec931f93562dcd29d7e521a3d60e760c13
- Size of remote file:
- 18.7 MB
- SHA256:
- c3414d61383f497454aca4a757a831bb2f3d9504187ac7ab5171afba7eccf96e
路
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