Text Classification
Transformers
Safetensors
PEFT
English
sentiment-analysis
bert
lora
huggingface
low-resource
Eval Results (legacy)
Instructions to use Harsh-Gupta/Sentiment-Analysis-BERT-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harsh-Gupta/Sentiment-Analysis-BERT-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Harsh-Gupta/Sentiment-Analysis-BERT-sst2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Harsh-Gupta/Sentiment-Analysis-BERT-sst2", dtype="auto") - PEFT
How to use Harsh-Gupta/Sentiment-Analysis-BERT-sst2 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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