Instructions to use lewtun/quantized-distilbert-banking77-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lewtun/quantized-distilbert-banking77-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lewtun/quantized-distilbert-banking77-2")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("lewtun/quantized-distilbert-banking77-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoModelForSequenceClassification
model = AutoModelForSequenceClassification.from_pretrained("lewtun/quantized-distilbert-banking77-2", dtype="auto")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lewtun/quantized-distilbert-banking77-2")