Instructions to use Udai/lexglue_ledgar_longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Udai/lexglue_ledgar_longformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Udai/lexglue_ledgar_longformer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Udai/lexglue_ledgar_longformer") model = AutoModelForSequenceClassification.from_pretrained("Udai/lexglue_ledgar_longformer") - 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 sha256:287bb6029c503e89686d11ebd0e76d9aaee539a234ea0cc5e6466d013b1d3766
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size 594979638
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