Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use theojolliffe/classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theojolliffe/classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="theojolliffe/classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("theojolliffe/classifier") model = AutoModelForSequenceClassification.from_pretrained("theojolliffe/classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
cab0e51
1
Parent(s): 3544a60
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- runs/Jan13_15-43-16_Theos-MacBook-Pro.local/1673625529.911909/events.out.tfevents.1673625529.Theos-MacBook-Pro.local.25787.9 +3 -0
- runs/Jan13_15-43-16_Theos-MacBook-Pro.local/events.out.tfevents.1673624604.Theos-MacBook-Pro.local.25787.6 +2 -2
- runs/Jan13_15-43-16_Theos-MacBook-Pro.local/events.out.tfevents.1673625529.Theos-MacBook-Pro.local.25787.8 +3 -0
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