Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use KarelDO/lstm.CEBaB_confounding.uniform.absa.5-class.seed_44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KarelDO/lstm.CEBaB_confounding.uniform.absa.5-class.seed_44 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KarelDO/lstm.CEBaB_confounding.uniform.absa.5-class.seed_44")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KarelDO/lstm.CEBaB_confounding.uniform.absa.5-class.seed_44") model = AutoModelForSequenceClassification.from_pretrained("KarelDO/lstm.CEBaB_confounding.uniform.absa.5-class.seed_44") - Notebooks
- Google Colab
- Kaggle
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