Instructions to use HymanRoth/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HymanRoth/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HymanRoth/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HymanRoth/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("HymanRoth/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f8bb526bca8b169c59816136436a2be33bef15f225a0c63518e25aa805913ee
- Size of remote file:
- 5.78 kB
- SHA256:
- df81ea17157f190ff6b05f4333bd99321aaff22f196803239db60d89a76bfe84
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