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robo-noct
/
convo-2

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Trained with AutoTrain
text-embeddings-inference
Model card Files
xet
 Metrics Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="robo-noct/convo-2")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("robo-noct/convo-2")
model = AutoModelForSequenceClassification.from_pretrained("robo-noct/convo-2", device_map="auto")
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Model Trained Using AutoTrain

  • Problem type: Text Classification

Validation Metrics

loss: 0.1080239862203598

f1_macro: 1.0

f1_micro: 1.0

f1_weighted: 1.0

precision_macro: 1.0

precision_micro: 1.0

precision_weighted: 1.0

recall_macro: 1.0

recall_micro: 1.0

recall_weighted: 1.0

accuracy: 1.0

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