Instructions to use tk3879110/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tk3879110/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tk3879110/bert_finetuning_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tk3879110/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("tk3879110/bert_finetuning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 139 Bytes
eebcb64 | 1 2 3 4 5 6 | eval_loss = 0.46375401245028364 eval_acc = 0.8161764705882353 eval_f1 = 0.878048780487805 eval_acc_and_f1 = 0.8471126255380201 epoch = 1.0 |