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:
- 6e2e49732bf55ec8c48bcabc0e7b15f56d4f7ef3f4ace0831f70fb5bced94207
- Size of remote file:
- 433 MB
- SHA256:
- 0f253c6deffe0b5ce5e09c207a7b5b3a1bea5e4d44531434b980789ddd46dfeb
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