Instructions to use CAMeL-Lab/camelbert-msa-zaebuc-ged-13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAMeL-Lab/camelbert-msa-zaebuc-ged-13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CAMeL-Lab/camelbert-msa-zaebuc-ged-13")# Load model directly from transformers import AutoTokenizer, BertForTokenClassificationSingleLabel tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/camelbert-msa-zaebuc-ged-13") model = BertForTokenClassificationSingleLabel.from_pretrained("CAMeL-Lab/camelbert-msa-zaebuc-ged-13") - Notebooks
- Google Colab
- Kaggle
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