Token Classification
Transformers
Safetensors
PEFT
German
named-entity-recognition
german
xlm-roberta
lora
Instructions to use fau/GermaNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fau/GermaNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fau/GermaNER")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fau/GermaNER", device_map="auto") - PEFT
How to use fau/GermaNER with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d08df1c3d32a4f6170a99f30db3e272bc3e90b0dde5af751a35fb9bf9cb2612
- Size of remote file:
- 17.1 MB
- SHA256:
- 8373f9cd3d27591e1924426bcc1c8799bc5a9affc4fc857982c5d66668dd1f41
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.