Dopamin
Collection
Transformer-based Comment Classifiers through Domain Post-training and Multi-level layer aggregation • 20 items • Updated • 2
How to use Fsoft-AIC/dopamin-java-pointer with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-java-pointer") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-java-pointer")
model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-java-pointer")# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-java-pointer")
model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-java-pointer")No model card
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-java-pointer")