Text Classification
Transformers
PyTorch
English
distilbert
message-classification
question-detection
text-embeddings-inference
Instructions to use Wyona/message-classification-question-other-smalltalk-modified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wyona/message-classification-question-other-smalltalk-modified with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Wyona/message-classification-question-other-smalltalk-modified")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Wyona/message-classification-question-other-smalltalk-modified") model = AutoModelForSequenceClassification.from_pretrained("Wyona/message-classification-question-other-smalltalk-modified") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot