Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use salunketejasaitraining/autotraintjs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salunketejasaitraining/autotraintjs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="salunketejasaitraining/autotraintjs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("salunketejasaitraining/autotraintjs") model = AutoModelForSequenceClassification.from_pretrained("salunketejasaitraining/autotraintjs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.605410635471344
f1_macro: 0.8111201469835246
f1_micro: 0.8133333333333334
f1_weighted: 0.8111201469835246
precision_macro: 0.8132758714154064
precision_micro: 0.8133333333333334
precision_weighted: 0.8132758714154064
recall_macro: 0.8133333333333334
recall_micro: 0.8133333333333334
recall_weighted: 0.8133333333333334
accuracy: 0.8133333333333334
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Model tree for salunketejasaitraining/autotraintjs
Base model
google-bert/bert-base-uncased