Instructions to use Okyx/NERTESTING with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Okyx/NERTESTING with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Okyx/NERTESTING")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Okyx/NERTESTING") model = AutoModelForTokenClassification.from_pretrained("Okyx/NERTESTING", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0496961a6a8c24270128df22dcdfab1319b2023b2c2adaad2b55ec786f9124cd
- Size of remote file:
- 431 MB
- SHA256:
- b1a1939fe81972589c6743fbff06d57d2427a59b478b4b22d618c6983a5690a1
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