Instructions to use Chetna19/BART_subjqa_model_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chetna19/BART_subjqa_model_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Chetna19/BART_subjqa_model_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Chetna19/BART_subjqa_model_v2") model = AutoModelForQuestionAnswering.from_pretrained("Chetna19/BART_subjqa_model_v2") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/May25_07-20-44_d97e229ddd62/events.out.tfevents.1684999752.d97e229ddd62.678.2
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