Instructions to use osiria/bert-base-cased-ner-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osiria/bert-base-cased-ner-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="osiria/bert-base-cased-ner-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("osiria/bert-base-cased-ner-en") model = AutoModelForTokenClassification.from_pretrained("osiria/bert-base-cased-ner-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by osiria - 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:cd1060535e6514f4c5b86da1f6ca9e10b239aa5cdbcb0c2309e2c7d4fb19186f
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size 430921620
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