Instructions to use rcds/distilbert-SBD-fr-es-it-en-de-judgements-laws with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rcds/distilbert-SBD-fr-es-it-en-de-judgements-laws with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rcds/distilbert-SBD-fr-es-it-en-de-judgements-laws")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rcds/distilbert-SBD-fr-es-it-en-de-judgements-laws") model = AutoModelForTokenClassification.from_pretrained("rcds/distilbert-SBD-fr-es-it-en-de-judgements-laws", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1425a30c057d00b7c281f89b52c3e944c99e9c2b2d5e9b90e7a7ed56601e6a83
- Size of remote file:
- 539 MB
- SHA256:
- c01fdca07e77fbf17f85dce0da307897675405296b3bbf6385e851e673206aa7
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