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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c01fdca07e77fbf17f85dce0da307897675405296b3bbf6385e851e673206aa7
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size 538957900
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