Instructions to use nlpotato/spam-small-data-bert-base-10e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpotato/spam-small-data-bert-base-10e with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nlpotato/spam-small-data-bert-base-10e")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nlpotato/spam-small-data-bert-base-10e") model = AutoModelForSequenceClassification.from_pretrained("nlpotato/spam-small-data-bert-base-10e") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot