Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use mserloth/v19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mserloth/v19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mserloth/v19")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mserloth/v19") model = AutoModelForSequenceClassification.from_pretrained("mserloth/v19", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.5771334767341614
f1_macro: 0.713149936591552
f1_micro: 0.7587301587301587
f1_weighted: 0.7515986825907809
precision_macro: 0.7044296788482836
precision_micro: 0.7587301587301587
precision_weighted: 0.7628139007541002
recall_macro: 0.7482673192543582
recall_micro: 0.7587301587301587
recall_weighted: 0.7587301587301587
accuracy: 0.7587301587301587
- Downloads last month
- 7