Instructions to use kumo24/bert-sentiment-nuclear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumo24/bert-sentiment-nuclear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kumo24/bert-sentiment-nuclear")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kumo24/bert-sentiment-nuclear") model = AutoModelForSequenceClassification.from_pretrained("kumo24/bert-sentiment-nuclear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature883de0d -
Update README.md
Verified signature08380f9 -
Update README.md
Verified signaturee1efc96
-
Update README.md
Verified signature317f798 -
Upload 7 files
Verified signaturefd982d0 -
initial commit
Verified signature97a4de8