# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("spacesedan/sentiment-analysis-longformer")
model = AutoModelForSequenceClassification.from_pretrained("spacesedan/sentiment-analysis-longformer")Quick Links
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 1.0463045835494995
f1_macro: 0.509019730829119
f1_micro: 0.5233333333333333
f1_weighted: 0.516464791683911
precision_macro: 0.5322711463107999
precision_micro: 0.5233333333333333
precision_weighted: 0.5447555045714482
recall_macro: 0.5207324546507
recall_micro: 0.5233333333333333
recall_weighted: 0.5233333333333333
accuracy: 0.5233333333333333
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Model tree for spacesedan/sentiment-analysis-longformer
Base model
allenai/longformer-base-4096
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spacesedan/sentiment-analysis-longformer")