Instructions to use Noola/EmailDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noola/EmailDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Noola/EmailDetection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Noola/EmailDetection") model = AutoModelForSequenceClassification.from_pretrained("Noola/EmailDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f276169c430886a6a78bd9db32ae4c638e7189a9126ad874fd7e1ceb8e29a7d5
- Size of remote file:
- 268 MB
- SHA256:
- 39546c06f16a1b3813daa83e81acd1e87c39a10780665922f9cbd773c750bb41
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