Instructions to use tannonk/bart_mini-MLM_PS_DR-s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-MLM_PS_DR-s42 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-MLM_PS_DR-s42") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-MLM_PS_DR-s42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b05ad6dde6bd15ad6f4d18e23b1c5c02680701138bf900ddc352c8170d081970
- Size of remote file:
- 4.08 MB
- SHA256:
- b5e7f73c0b9473b9d65cdc541931dd7b3b40759a358701b46c9ec94bd528695c
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