Text Classification
Transformers
PyTorch
TensorBoard
ONNX
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ziq/ingbetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ziq/ingbetic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ziq/ingbetic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ziq/ingbetic") model = AutoModelForSequenceClassification.from_pretrained("ziq/ingbetic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 600
Browse files
pytorch_model.bin
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runs/Jun07_15-58-55_ny736lt2rd/events.out.tfevents.1686153639.ny736lt2rd.180.0
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