Text Classification
Transformers
Safetensors
Hebrew
bert
Generated from Trainer
sentiment-analysis
hebrew
Eval Results (legacy)
text-embeddings-inference
Instructions to use haimgoldfisher/HeBERT_sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haimgoldfisher/HeBERT_sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="haimgoldfisher/HeBERT_sentiment_analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("haimgoldfisher/HeBERT_sentiment_analysis") model = AutoModelForSequenceClassification.from_pretrained("haimgoldfisher/HeBERT_sentiment_analysis") - Notebooks
- Google Colab
- Kaggle
Ctrl+K