Instructions to use mpalaval/bert-ner-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpalaval/bert-ner-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mpalaval/bert-ner-4")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mpalaval/bert-ner-4") model = AutoModelForTokenClassification.from_pretrained("mpalaval/bert-ner-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29fed97029af5ac93046d77e89f4fb75b361347eb451cd8ba7399f420f78d031
- Size of remote file:
- 4.54 kB
- SHA256:
- 5fb09d1cc7c126a75b039f93a877f5a2e9993bd8d383b3388147cbc9121b4403
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