Translation
Transformers
Safetensors
Czech
German
mt5
text2text-generation
code
wikidata
biography
semantic_annotation
entity_linking
Instructions to use daelba/biography2wikidata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daelba/biography2wikidata with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="daelba/biography2wikidata")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("daelba/biography2wikidata") model = AutoModelForSeq2SeqLM.from_pretrained("daelba/biography2wikidata") - Notebooks
- Google Colab
- Kaggle