Instructions to use dmrau/bow-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmrau/bow-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dmrau/bow-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dmrau/bow-bert") model = AutoModelForSequenceClassification.from_pretrained("dmrau/bow-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af0b472127d359b59942027d160b3d2880f4b319333e87920b8675c5f57f42c6
- Size of remote file:
- 438 MB
- SHA256:
- 0371243fd181359c94118b13d1b6473e7595860f061fd216faa243d32039bc66
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