Instructions to use tannonk/bart_mini-MLM-s1984 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-MLM-s1984 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-MLM-s1984") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-MLM-s1984", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c518023511155ac950b2ef85f9563716170ec52db684af7c80b8c85dff6b92ba
- Size of remote file:
- 4.08 MB
- SHA256:
- f46b39d324f115c0827bdb2d33750efd74be47cc42a6baff03bc6c181afd0236
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