Text Classification
Transformers
PyTorch
English
BertABSAForSequenceClassification
aspect-term-sentiment-analysis
ATSA
custom_code
Instructions to use tezign/BERT-LSTM-based-ABSA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tezign/BERT-LSTM-based-ABSA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tezign/BERT-LSTM-based-ABSA", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("tezign/BERT-LSTM-based-ABSA", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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