Instructions to use docketanalyzer/distilroberta-base-ddcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use docketanalyzer/distilroberta-base-ddcl with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("docketanalyzer/distilroberta-base-ddcl") model = RobertaForMultiLabelSequenceClassification.from_pretrained("docketanalyzer/distilroberta-base-ddcl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0a44bc9ced8ccb3b3ae9de49e1232a141b471a28a81b70a4f35b4ac0e4e66c9
- Size of remote file:
- 331 MB
- SHA256:
- b25a4d1b0d82e24a9bf4b81debf5aec73ae4d31e9ce84535886aa4e63b329602
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