Instructions to use RashidNLP/NER-Deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RashidNLP/NER-Deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RashidNLP/NER-Deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RashidNLP/NER-Deberta") model = AutoModelForTokenClassification.from_pretrained("RashidNLP/NER-Deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0c004366137480acdb33383cd2311accbc698225131da63ef71e2d7d5a777e8
- Size of remote file:
- 735 MB
- SHA256:
- 1dc9b0af8cd7ae7fefe7b22e72d6b41c10f1cdf96484765d07e40d94dd8148ff
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