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:
- 83399cc5c60d9390783cbf93b4234191545aa550b411bcbe06ab507ae115007f
- Size of remote file:
- 3.06 kB
- SHA256:
- 6e4aad121c9a47180006c9eaa3789c1c4835a63e36d80e49f4c01b2134cf9951
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