Instructions to use Lizrek/bert-base-mountain-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lizrek/bert-base-mountain-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Lizrek/bert-base-mountain-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lizrek/bert-base-mountain-NER") model = AutoModelForTokenClassification.from_pretrained("Lizrek/bert-base-mountain-NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 342e91ad5ce912c4a041a5f9166d4cd4fe8d10853800aca40daa23c93b877f52
- Size of remote file:
- 431 MB
- SHA256:
- 5577aa33339303a8afa32a64bd6206e0af358f2c925e6650d06b66d9c0f3eace
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