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
- Xet hash:
- edeff23656b43b33f34a9f0c7b256d84252213f0f364f1b33777d29b54f6ac16
- Size of remote file:
- 1.63 GB
- SHA256:
- c8d663cbfe6af7f46c1c1bd625febac45740aa3aa1a4fb11a88e65dcf3ed9d0f
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