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")# 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") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
model.safetensors
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