Instructions to use alex-apostolo/legal-bert-small-filtered-cuad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alex-apostolo/legal-bert-small-filtered-cuad with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="alex-apostolo/legal-bert-small-filtered-cuad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("alex-apostolo/legal-bert-small-filtered-cuad") model = AutoModelForQuestionAnswering.from_pretrained("alex-apostolo/legal-bert-small-filtered-cuad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
Add evaluation results on the alex-apostolo--filtered-cuad config and test split of alex-apostolo/filtered-cuad
#1 opened over 3 years ago
by
autoevaluator