Instructions to use Dhrumit1314/BART_TextSummary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dhrumit1314/BART_TextSummary with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dhrumit1314/BART_TextSummary") model = AutoModelForSeq2SeqLM.from_pretrained("Dhrumit1314/BART_TextSummary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
a32e307
1
Parent(s): 6e31a0a
BART Model added Successfully !
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:b835f97b6f9854840ffce819ab8e97fa8d680dcb3b7ca45a22342f0cdc3225e1
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size 1625925412
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