Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
ml-intern
text-embeddings-inference
Instructions to use Aime2k2/spam-email-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aime2k2/spam-email-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aime2k2/spam-email-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aime2k2/spam-email-distilbert") model = AutoModelForSequenceClassification.from_pretrained("Aime2k2/spam-email-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Aime2k2/spam-email-distilbert: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/Aime2k2/spam-email-distilbert/resolve/main/training_args.bin
- Command line
-
hf download hf://Aime2k2/spam-email-distilbert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Aime2k2/spam-email-distilbert/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 43c7556fcddb58248c131980eb4a5b617a53f022e8ed978d3d877a6fb6235d5e
- Size of remote file:
- 5.27 kB
- SHA256:
- 1daa3f13d06e600ccfaa98693959912a70101d4c3ce286d40f7059a941c113b2
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