Text Classification
Transformers
Safetensors
English
bert
spam
ham
email
tinybert
enron
Eval Results (legacy)
text-embeddings-inference
Instructions to use prancyFox/tiny-bert-enron-spam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prancyFox/tiny-bert-enron-spam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="prancyFox/tiny-bert-enron-spam")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("prancyFox/tiny-bert-enron-spam") model = AutoModelForSequenceClassification.from_pretrained("prancyFox/tiny-bert-enron-spam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1000/optimizer.pt from prancyFox/tiny-bert-enron-spam: direct link, hf CLI and curl.
- Browser
- Download file 115 MB
-
https://huggingface.co/prancyFox/tiny-bert-enron-spam/resolve/main/checkpoint-1000/optimizer.pt
- Command line
-
hf download hf://prancyFox/tiny-bert-enron-spam/checkpoint-1000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prancyFox/tiny-bert-enron-spam/resolve/main/checkpoint-1000/optimizer.pt
115 MB
- Xet hash:
- dffc7c2f5509edcef21de314c3571226c3a14f52c2b86cde57d421df79eb6797
- Size of remote file:
- 115 MB
- SHA256:
- 4f0a244f0ab5d36cbb5bcb5ee4678113bf196e7b7a105c5679d641bf0cd455d4
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