Instructions to use Linhz/MRC_BartPho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Linhz/MRC_BartPho with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Linhz/MRC_BartPho") model = AutoModelForSeq2SeqLM.from_pretrained("Linhz/MRC_BartPho") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5750b4dbaf9ae0b6610a64f8be3b1d12c9db6bed7dcf1eb2a03c2771a333e5b0
- Size of remote file:
- 3.58 kB
- SHA256:
- 2c4c1fe92370c77e680aef6251ccc9b7a6659a0fa1f62d26808e972f4b980170
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