Instructions to use notaphoenix/liberal_argument_classifer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use notaphoenix/liberal_argument_classifer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="notaphoenix/liberal_argument_classifer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("notaphoenix/liberal_argument_classifer") model = AutoModelForSequenceClassification.from_pretrained("notaphoenix/liberal_argument_classifer") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:da0e1fceb02a8202f01d1646ff617c394a17415935c6c64b3136ba0e03a908c1
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size 594678184
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