Instructions to use davidpc99/multilanguageNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidpc99/multilanguageNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="davidpc99/multilanguageNER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("davidpc99/multilanguageNER") model = AutoModelForTokenClassification.from_pretrained("davidpc99/multilanguageNER") - 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:ab6a64816336a4c1d8e84f113b83c701936de9d4e694e9803b8fbf2f5686a44e
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size 1109862012
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