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/training_args.bin from prancyFox/tiny-bert-enron-spam: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/prancyFox/tiny-bert-enron-spam/resolve/main/checkpoint-1000/training_args.bin
- Command line
-
hf download hf://prancyFox/tiny-bert-enron-spam/checkpoint-1000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prancyFox/tiny-bert-enron-spam/resolve/main/checkpoint-1000/training_args.bin
5.71 kB
- Xet hash:
- d58b96b6dc26f3927282c934325ce70ec9bd2ec706440e43ac151abb01159bd4
- Size of remote file:
- 5.71 kB
- SHA256:
- 0f6ee5be6db1ab816abaa77671d6a299c7d2015f383c82c395377bcfdce9d1cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.