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-1200/model.safetensors from prancyFox/tiny-bert-enron-spam: direct link, hf CLI and curl.
- Browser
- Download file 57.4 MB
-
https://huggingface.co/prancyFox/tiny-bert-enron-spam/resolve/main/checkpoint-1200/model.safetensors
- Command line
-
hf download hf://prancyFox/tiny-bert-enron-spam/checkpoint-1200/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/prancyFox/tiny-bert-enron-spam/resolve/main/checkpoint-1200/model.safetensors
57.4 MB
- Xet hash:
- 67f6e43c53f46c73ced2fcbc682f4edc24f5cdbaf8884e7d40e2f738882d8606
- Size of remote file:
- 57.4 MB
- SHA256:
- 0ed481638e470979590a6a0c03f9237e2ef00619bfde08b505adc569fc3f3e70
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