Text Classification
Transformers
Safetensors
modernbert
mmbert
sentiment-analysis
twitter
multilingual
text-embeddings-inference
Instructions to use Ido-shraga/mmbert-base-sentiment-adapted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ido-shraga/mmbert-base-sentiment-adapted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ido-shraga/mmbert-base-sentiment-adapted")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ido-shraga/mmbert-base-sentiment-adapted") model = AutoModelForSequenceClassification.from_pretrained("Ido-shraga/mmbert-base-sentiment-adapted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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