Instructions to use raruidol/SchemeClassifier2-ENG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raruidol/SchemeClassifier2-ENG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raruidol/SchemeClassifier2-ENG")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raruidol/SchemeClassifier2-ENG") model = AutoModelForSequenceClassification.from_pretrained("raruidol/SchemeClassifier2-ENG") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:c9ebda79b103f1c977e24c3979e499bdac1624775aea46acb0c9ac717f36862f
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size 1421569216
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