Instructions to use avichr/heBERT_sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avichr/heBERT_sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avichr/heBERT_sentiment_analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avichr/heBERT_sentiment_analysis") model = AutoModelForSequenceClassification.from_pretrained("avichr/heBERT_sentiment_analysis", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
problem in result
#3 opened almost 2 years ago
by
galim-pro
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
Add TF weights
2
#1 opened over 4 years ago
by
joaogante