Instructions to use pczarnik/herbert-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pczarnik/herbert-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pczarnik/herbert-base-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pczarnik/herbert-base-ner") model = AutoModelForTokenClassification.from_pretrained("pczarnik/herbert-base-ner") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:c8308345ab9fabae2f5be9553509ef1da7dfcc150589500fc09a19e691841f79
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size 495458244
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