Instructions to use ACCORD-NLP/ner-albert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACCORD-NLP/ner-albert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ACCORD-NLP/ner-albert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ACCORD-NLP/ner-albert-large") model = AutoModelForTokenClassification.from_pretrained("ACCORD-NLP/ner-albert-large") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:6fe92a16846fb5b3b5b0c45246a38f023aad07800568c22975cbe7af9e599cef
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size 66581828
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