Instructions to use dmis-lab/bern2-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/bern2-ner with Transformers:
# Load model directly from transformers import AutoTokenizer, RoBERTaMultiNER2 tokenizer = AutoTokenizer.from_pretrained("dmis-lab/bern2-ner") model = RoBERTaMultiNER2.from_pretrained("dmis-lab/bern2-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 285c5d78d0c2396bbf4f154600e8513feef07500074398ae3b8588f459ef6292
- Size of remote file:
- 1.46 GB
- SHA256:
- 888fb45964e5847ad4279e402d64944b9d444ac4078d6b5c028dafd0d7009711
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