Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use RaspberryVitriol/my-polarization-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RaspberryVitriol/my-polarization-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RaspberryVitriol/my-polarization-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RaspberryVitriol/my-polarization-model") model = AutoModelForSequenceClassification.from_pretrained("RaspberryVitriol/my-polarization-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
model.safetensors
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