Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use saisuukaanyaa/autotrain-ast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saisuukaanyaa/autotrain-ast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saisuukaanyaa/autotrain-ast")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saisuukaanyaa/autotrain-ast") model = AutoModelForSequenceClassification.from_pretrained("saisuukaanyaa/autotrain-ast", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.6784070730209351
f1_macro: 0.7761309907586503
f1_micro: 0.78
f1_weighted: 0.7761309907586502
precision_macro: 0.7798858146684234
precision_micro: 0.78
precision_weighted: 0.7798858146684233
recall_macro: 0.7799999999999999
recall_micro: 0.78
recall_weighted: 0.78
accuracy: 0.78
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Model tree for saisuukaanyaa/autotrain-ast
Base model
google-bert/bert-base-uncased