Instructions to use chefkoch24/justification-cue-tagging with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chefkoch24/justification-cue-tagging with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chefkoch24/justification-cue-tagging")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chefkoch24/justification-cue-tagging") model = AutoModelForTokenClassification.from_pretrained("chefkoch24/justification-cue-tagging") - 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 sha256:857daf096dad95c5d2e7c483a701fcbfeb527b90cd867978ca22dd04ae0b6bc9
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size 326133904
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