# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("CamiloVega/Tweet-Classifier")
model = AutoModelForSequenceClassification.from_pretrained("CamiloVega/Tweet-Classifier")Quick Links
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 1.1234140396118164
f1_macro: 0.17777777777777778
f1_micro: 0.36363636363636365
f1_weighted: 0.19393939393939394
precision_macro: 0.12121212121212122
precision_micro: 0.36363636363636365
precision_weighted: 0.1322314049586777
recall_macro: 0.3333333333333333
recall_micro: 0.36363636363636365
recall_weighted: 0.36363636363636365
accuracy: 0.36363636363636365
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CamiloVega/Tweet-Classifier")