bdstar/twitter-sentiment-analysis
Viewer • Updated • 4.77M • 106
How to use Nonovogo/emotionbert with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="Nonovogo/emotionbert") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Nonovogo/emotionbert")
model = AutoModelForSequenceClassification.from_pretrained("Nonovogo/emotionbert")How to use Nonovogo/emotionbert with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Nonovogo/emotionbert to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Nonovogo/emotionbert to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Nonovogo/emotionbert to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="Nonovogo/emotionbert",
max_seq_length=2048,
)This modernbert model was trained 2x faster with Unsloth
Base model
unsloth/ModernBERT-base