Instructions to use csae8092/de_RTA_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use csae8092/de_RTA_NER with spaCy:
!pip install https://huggingface.co/csae8092/de_RTA_NER/resolve/main/de_RTA_NER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_RTA_NER") # Importing as module. import de_RTA_NER nlp = de_RTA_NER.load() - Notebooks
- Google Colab
- Kaggle
| { | |
| "moves":null, | |
| "update_with_oracle_cut_size":100, | |
| "multitasks":[ | |
| ], | |
| "min_action_freq":1, | |
| "learn_tokens":false, | |
| "beam_width":1, | |
| "beam_density":0.0, | |
| "beam_update_prob":0.0, | |
| "incorrect_spans_key":null | |
| } |