Instructions to use philschmid/quantized-distilbert-banking77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/quantized-distilbert-banking77 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="philschmid/quantized-distilbert-banking77")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("philschmid/quantized-distilbert-banking77", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 112 Bytes
095e3a4 | 1 | {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |