Instructions to use citclass/citclass_large_71 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use citclass/citclass_large_71 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="citclass/citclass_large_71", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("citclass/citclass_large_71", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("citclass/citclass_large_71", trust_remote_code=True) - 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 sha256:882f6d9957482cd03066acf31da483e524b78b5bb95269fcc3d890d252c7d239
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size 266490180
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