Instructions to use MSLars/de_longformer_abstr_summ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MSLars/de_longformer_abstr_summ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MSLars/de_longformer_abstr_summ")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MSLars/de_longformer_abstr_summ") model = AutoModelForTokenClassification.from_pretrained("MSLars/de_longformer_abstr_summ", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from MSLars/de_longformer_abstr_summ: direct link, hf CLI and curl.
- Browser
- Download file 890 kB
-
https://huggingface.co/MSLars/de_longformer_abstr_summ/resolve/main/vocab.json
- Command line
-
hf download hf://MSLars/de_longformer_abstr_summ/vocab.json
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curl -L -o vocab.json https://huggingface.co/MSLars/de_longformer_abstr_summ/resolve/main/vocab.json
890 kB
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