Instructions to use mirfan899/uner-bert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirfan899/uner-bert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mirfan899/uner-bert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mirfan899/uner-bert-ner") model = AutoModelForTokenClassification.from_pretrained("mirfan899/uner-bert-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2137d7d65b7a19dd9099b9d159bffdc36c8411e6f4eba5377d424258d933f912
- Size of remote file:
- 709 MB
- SHA256:
- 63b98a164e2d5655d9305d3950a2592aa211c194b0b9aaeefb6956dd3a25b281
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