Text Classification
Transformers
PyTorch
Safetensors
English
SententenceTransformerSentimentClassifier
custom_code
Instructions to use shhossain/all-MiniLM-L6-v2-sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shhossain/all-MiniLM-L6-v2-sentiment-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shhossain/all-MiniLM-L6-v2-sentiment-classifier", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("shhossain/all-MiniLM-L6-v2-sentiment-classifier", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K