Instructions to use Chetna19/BART_subjqa_model_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chetna19/BART_subjqa_model_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Chetna19/BART_subjqa_model_v3")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Chetna19/BART_subjqa_model_v3") model = AutoModelForQuestionAnswering.from_pretrained("Chetna19/BART_subjqa_model_v3") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:efd89df07f377829b92a264123e3093548d8cd9310ed0c80000981e717200ec9
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size 1625234592
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