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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9d382b2c924ada8e8466581765da36f21245592cd4ac70d9282f05117cc6caa
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size 434027448
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