Instructions to use engindemir/mbart_dparsing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use engindemir/mbart_dparsing with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("engindemir/mbart_dparsing") model = AutoModelForSeq2SeqLM.from_pretrained("engindemir/mbart_dparsing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0495cd5ed1c7e1b014e010ae23a6c69a758e44c76ce3c2f7458aa8cf5c5771e
- Size of remote file:
- 5.37 kB
- SHA256:
- d301f3fbdbedde770349cfa2ec0b5495f9744dae3761587eb280877dc59320bc
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