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:
- 865f7b6e3c745e4dd8c7ff8d5507b15ae2a20c5d79af367150169ee1ab746388
- Size of remote file:
- 539 MB
- SHA256:
- ffef63c9293f8288b1db8d23ac6c0cb4fe988740a1132c1b1849ac5fafe66e86
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