Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use spamfighters/modernbert-spam-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spamfighters/modernbert-spam-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spamfighters/modernbert-spam-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("spamfighters/modernbert-spam-classifier") model = AutoModelForSequenceClassification.from_pretrained("spamfighters/modernbert-spam-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12a9295ee09e0654694f9572722495c3dfdf70236b8e187d70f10f5b12335e8c
- Size of remote file:
- 5.3 kB
- SHA256:
- ecaf041fcd0de948c84ef607bde330d61f1e5c160ac775f294dbe13f3dec971e
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