Instructions to use eawang/bert2_tf_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/bert2_tf_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eawang/bert2_tf_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eawang/bert2_tf_model") model = AutoModelForSequenceClassification.from_pretrained("eawang/bert2_tf_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
pytorch_model.bin
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runs/May03_20-01-54_630b8e579a05/events.out.tfevents.1683144118.630b8e579a05.4910.2
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