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