Instructions to use vabatista/geological-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vabatista/geological-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vabatista/geological-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vabatista/geological-ner") model = AutoModelForTokenClassification.from_pretrained("vabatista/geological-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eee8bbc9193aebb3e3d072aa9d695602abdbfec8d1f437a85df9782d6cc46853
- Size of remote file:
- 433 MB
- SHA256:
- 14044d83eec47754a70692484efcf81b0023d668aae4de95c41a3b06c3de2ab3
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