Instructions to use Shubham09/bartlatest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/bartlatest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Shubham09/bartlatest")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shubham09/bartlatest") model = AutoModelForQuestionAnswering.from_pretrained("Shubham09/bartlatest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 837d956f39e0a866bda2596842e00a2774800f1e2f78c9578fa2038e0b4d11fa
- Size of remote file:
- 1.63 GB
- SHA256:
- dc17cfaa91b6f55c366cfba4f5acb6c22c14ec2e0b2d458a6b6c4a7b4e3ac620
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