Instructions to use aryan6637/results_ner_full_headers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aryan6637/results_ner_full_headers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aryan6637/results_ner_full_headers")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aryan6637/results_ner_full_headers") model = AutoModelForTokenClassification.from_pretrained("aryan6637/results_ner_full_headers") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d188ed337674015292af1e9fe6a75f5f3a7e8cc27e2a772390450aec0eba1527
- Size of remote file:
- 5.37 kB
- SHA256:
- 5620e97bda6c9f133dec99d95931647f609455f9e43f83254f8575698ab3819c
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