Instructions to use luzox/Ntimes_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luzox/Ntimes_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="luzox/Ntimes_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("luzox/Ntimes_NER") model = AutoModelForMaskedLM.from_pretrained("luzox/Ntimes_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:532686ab71d91a6bf26b2575266da6e0481c20e41e701752ece04cc2b69b30a7
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size 537726988
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