Instructions to use Amir13/xlm-roberta-base-de-base-ner-de-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amir13/xlm-roberta-base-de-base-ner-de-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Amir13/xlm-roberta-base-de-base-ner-de-base-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Amir13/xlm-roberta-base-de-base-ner-de-base-ner") model = AutoModelForTokenClassification.from_pretrained("Amir13/xlm-roberta-base-de-base-ner-de-base-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
469586b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1fdd573f58139ff44a150675105c16ce1662c6b4a98696389da1cbc3964fcf3d
size 1110109485
|