Instructions to use DeepNeural/ner_classifier_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepNeural/ner_classifier_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DeepNeural/ner_classifier_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DeepNeural/ner_classifier_v2") model = AutoModelForTokenClassification.from_pretrained("DeepNeural/ner_classifier_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a51071ed294809de58af5a7abee8bf924fd9c7392275d586e0d68a84bfe97926
- Size of remote file:
- 5.78 kB
- SHA256:
- 4e5bd334401e77f952165d870fd176a67c8ac5e57c4b3979a086a88454b1d05d
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