Instructions to use liamcripwell/ledpara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liamcripwell/ledpara with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("liamcripwell/ledpara") model = AutoModelForSeq2SeqLM.from_pretrained("liamcripwell/ledpara") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1c53f9ecac9adbdf8d88c60a0ed8f72dd5381c0ca46a62f09a5de36c659b2e9
- Size of remote file:
- 648 MB
- SHA256:
- 375071861d28934bfd94341f80e40cd6cdb30cae7e19428b466bc8540007d8fc
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