Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use everyl12/user_class_L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use everyl12/user_class_L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="everyl12/user_class_L")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("everyl12/user_class_L") model = AutoModelForSequenceClassification.from_pretrained("everyl12/user_class_L") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
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runs/May17_16-49-09_rtx3090-aurora-r13/events.out.tfevents.1684356555.rtx3090-aurora-r13.82032.0
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