Instructions to use minoosh/bert-reg-crossencoder-mse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minoosh/bert-reg-crossencoder-mse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="minoosh/bert-reg-crossencoder-mse")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("minoosh/bert-reg-crossencoder-mse") model = AutoModelForSequenceClassification.from_pretrained("minoosh/bert-reg-crossencoder-mse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model save
Verified signature2a0e5f4 -
Training in progress, epoch 7
Verified signature5a0ea3d -
Training in progress, epoch 6
Verified signature45f961f -
Training in progress, epoch 5
Verified signatureeac752f -
Training in progress, epoch 4
Verified signaturee3e75d6 -
Training in progress, epoch 3
Verified signature1d15794 -
Training in progress, epoch 2
Verified signaturefd907d9 -
Training in progress, epoch 1
Verified signatureb8c32b1 -
initial commit
Verified signature2971121