Instructions to use marcosgg/bert-base-gl-SLI-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcosgg/bert-base-gl-SLI-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="marcosgg/bert-base-gl-SLI-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("marcosgg/bert-base-gl-SLI-NER") model = AutoModelForTokenClassification.from_pretrained("marcosgg/bert-base-gl-SLI-NER") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:53f03c575b0f89cfb24c868646043429e5405311544979eb75059ec77f72a76f
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size 709106620
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