Instructions to use keshav-kumar/autotrain-cgknk-ucsd7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keshav-kumar/autotrain-cgknk-ucsd7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keshav-kumar/autotrain-cgknk-ucsd7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keshav-kumar/autotrain-cgknk-ucsd7") model = AutoModelForSequenceClassification.from_pretrained("keshav-kumar/autotrain-cgknk-ucsd7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.45186951756477356
f1_macro: 0.5878571428571429
f1_micro: 0.8695652173913043
f1_weighted: 0.8316149068322981
precision_macro: 0.6898148148148148
precision_micro: 0.8695652173913043
precision_weighted: 0.8216586151368759
recall_macro: 0.572463768115942
recall_micro: 0.8695652173913043
recall_weighted: 0.8695652173913043
accuracy: 0.8695652173913043
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