Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use henryscheible/bert-large-uncased_stereoset_classifieronly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/bert-large-uncased_stereoset_classifieronly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/bert-large-uncased_stereoset_classifieronly")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/bert-large-uncased_stereoset_classifieronly") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/bert-large-uncased_stereoset_classifieronly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 08da0e9
Training in progress, step 1920
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