Instructions to use Okyx/NERTESTINGLONG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Okyx/NERTESTINGLONG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Okyx/NERTESTINGLONG")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Okyx/NERTESTINGLONG") model = AutoModelForTokenClassification.from_pretrained("Okyx/NERTESTINGLONG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93bd52b93547d86e1f027bedcaa7fcafa07993548c3def729c1af1b8e2273b91
- Size of remote file:
- 431 MB
- SHA256:
- 2236beb8b74847f37c7879ed6ddc3ed565896a1dce67bac7f227f6b7759281a1
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