Token Classification
Transformers
PyTorch
bert
feature-extraction
entity-recognition
foundation-model
mBERT
Multilingual Bert
BERT
generic
Instructions to use numind/NuNER-multilingual-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuNER-multilingual-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="numind/NuNER-multilingual-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("numind/NuNER-multilingual-v0.1") model = AutoModel.from_pretrained("numind/NuNER-multilingual-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cef7fc99e2f8b83d6340371b754078688f4a4e7ca6e2279ee2cfe252579ef9f
- Size of remote file:
- 711 MB
- SHA256:
- 6439b21ce80f0b4c01767eb1d829ba5a92595c6316ccfbff6bc4a6097ef4aa06
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