Instructions to use CogComp/l2d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CogComp/l2d with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CogComp/l2d") model = AutoModelForSeq2SeqLM.from_pretrained("CogComp/l2d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcea7bc0ab4957111f40f54d4284143514cc2c613272329cb429db1583778029
- Size of remote file:
- 2.95 GB
- SHA256:
- 8faadf6b13e77fc0f29cb27bf477adc02007bc37ddf56da7884dc73bd8bc6e6d
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