Instructions to use arnolfokam/mbert-base-uncased-ner-kin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/mbert-base-uncased-ner-kin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/mbert-base-uncased-ner-kin")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/mbert-base-uncased-ner-kin") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/mbert-base-uncased-ner-kin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d7b21aa5b5992afa2f29d4109c67c7fab397fa4dcc6900094d255fcfccdd840
- Size of remote file:
- 709 MB
- SHA256:
- 75ecd1e512f2bbda17d5359b8de38c5dcfa197e72b7666228f8545a9acad7a43
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