Instructions to use Polo123/ner_model_ep2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Polo123/ner_model_ep2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Polo123/ner_model_ep2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Polo123/ner_model_ep2") model = AutoModelForTokenClassification.from_pretrained("Polo123/ner_model_ep2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4851671ba3fcf1377306c0234eb18f90e541ae0c03842f976f1239741682418f
- Size of remote file:
- 5.11 kB
- SHA256:
- ce2a499356d537149603823dc8b4985b14b547edeb34364f38e919b80e0bdeea
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