Text Classification
Transformers
PyTorch
English
bert
sentiment
sentiment-analysis
text-embeddings-inference
Instructions to use MarieAngeA13/Sentiment-Analysis-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarieAngeA13/Sentiment-Analysis-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MarieAngeA13/Sentiment-Analysis-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MarieAngeA13/Sentiment-Analysis-BERT") model = AutoModelForSequenceClassification.from_pretrained("MarieAngeA13/Sentiment-Analysis-BERT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot