Instructions to use jayavibhav/bert-classification-10ksamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayavibhav/bert-classification-10ksamples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jayavibhav/bert-classification-10ksamples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jayavibhav/bert-classification-10ksamples") model = AutoModelForSequenceClassification.from_pretrained("jayavibhav/bert-classification-10ksamples") - Notebooks
- Google Colab
- Kaggle
Commit ·
575e597
1
Parent(s): c578558
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Aug09_07-58-50_77073d7374c6/events.out.tfevents.1691567935.77073d7374c6.28.1
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