Instructions to use mbartolo/electra-large-synqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbartolo/electra-large-synqa 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="mbartolo/electra-large-synqa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mbartolo/electra-large-synqa") model = AutoModelForQuestionAnswering.from_pretrained("mbartolo/electra-large-synqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#6 opened almost 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#4 opened over 3 years ago
by
SFconvertbot
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
#3 opened almost 4 years ago
by
autoevaluator
Add evaluation results on the adversarialQA config of adversarial_qa
1
#2 opened about 4 years ago
by
autoevaluator