Instructions to use nateraw/bert-base-uncased-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/bert-base-uncased-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nateraw/bert-base-uncased-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nateraw/bert-base-uncased-emotion") model = AutoModelForSequenceClassification.from_pretrained("nateraw/bert-base-uncased-emotion") - Inference
- Notebooks
- Google Colab
- Kaggle
Report for nateraw/bert-base-uncased-emotion
#2 opened about 2 years ago
by
giskard-bot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot