Instructions to use Delphia/twitter-spam-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Delphia/twitter-spam-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Delphia/twitter-spam-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Delphia/twitter-spam-classifier") model = AutoModelForSequenceClassification.from_pretrained("Delphia/twitter-spam-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
3c25ec0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d0289f43907026be4e37502d57e5f6d28ee1acf5abed09db983916d2a4278a98
size 4920
|