Text Classification
Transformers
PyTorch
English
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use dadashzadeh/cryptocurrency-intent-search-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dadashzadeh/cryptocurrency-intent-search-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dadashzadeh/cryptocurrency-intent-search-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dadashzadeh/cryptocurrency-intent-search-detection") model = AutoModelForSequenceClassification.from_pretrained("dadashzadeh/cryptocurrency-intent-search-detection") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot