Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("berwart/Emotion")
model = AutoModelForSequenceClassification.from_pretrained("berwart/Emotion")Quick Links
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
No validation metrics available
Official release:
mxersion • News | 23/01/25
— Mxytyu •_• / mxersion.com (@mxytyu_) January 23, 2025
• Officially going to close for a few months (3-5) after the 10th of February
• New small language model (finetuned off bert)
Link • https://t.co/ImTY6PLJto
- Downloads last month
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Model tree for berwart/Emotion
Base model
google-bert/bert-base-uncased
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="berwart/Emotion")