Text Classification
Transformers
Safetensors
English
distilbert
intent-classification
email
sales
outreach
text-embeddings-inference
Instructions to use Tom11112000/email-reply-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tom11112000/email-reply-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tom11112000/email-reply-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tom11112000/email-reply-classifier") model = AutoModelForSequenceClassification.from_pretrained("Tom11112000/email-reply-classifier") - Notebooks
- Google Colab
- Kaggle