Instructions to use aaditya/BioM-ELECTRA-Large-SQuAD2-BioASQ8B_training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aaditya/BioM-ELECTRA-Large-SQuAD2-BioASQ8B_training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="aaditya/BioM-ELECTRA-Large-SQuAD2-BioASQ8B_training")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("aaditya/BioM-ELECTRA-Large-SQuAD2-BioASQ8B_training") model = AutoModelForQuestionAnswering.from_pretrained("aaditya/BioM-ELECTRA-Large-SQuAD2-BioASQ8B_training", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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