Instructions to use wiorz/bert_small_summarized_defined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wiorz/bert_small_summarized_defined with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wiorz/bert_small_summarized_defined")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wiorz/bert_small_summarized_defined") model = AutoModelForSequenceClassification.from_pretrained("wiorz/bert_small_summarized_defined", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 13
Browse files
pytorch_model.bin
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runs/May23_01-13-39_4b24a4a36fb6/events.out.tfevents.1684804433.4b24a4a36fb6.1552.0
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