Instructions to use Christoph911/GELECTRA-large-LegalQuAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Christoph911/GELECTRA-large-LegalQuAD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Christoph911/GELECTRA-large-LegalQuAD")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Christoph911/GELECTRA-large-LegalQuAD") model = AutoModelForQuestionAnswering.from_pretrained("Christoph911/GELECTRA-large-LegalQuAD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8f2530d69a4247a63cb25d758a3635178afed7fc65118576f231c9d86a47d8e
- Size of remote file:
- 1.34 GB
- SHA256:
- 5bf03db761198296a4ec837505cc2779a53155cee0b79c9e15868e02ff501c46
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