Instructions to use Social-Media-Fairness/vector_test_sohee_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Social-Media-Fairness/vector_test_sohee_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Social-Media-Fairness/vector_test_sohee_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Social-Media-Fairness/vector_test_sohee_NER") model = AutoModelForTokenClassification.from_pretrained("Social-Media-Fairness/vector_test_sohee_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f82273a1213e4343f0b58ed2cb781cab99c5668f0df9941086747677bce6e9e6
- Size of remote file:
- 436 MB
- SHA256:
- bc7fece25229ec4698d1c7e0d395a5a12e28d7e1a4e9f6c0198f0322cf503b4f
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