Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Overthrow4232/route_classifier_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Overthrow4232/route_classifier_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Overthrow4232/route_classifier_v1", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Overthrow4232/route_classifier_v1") model = AutoModelForSequenceClassification.from_pretrained("Overthrow4232/route_classifier_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eab0f898cee7507d03c5c72c9c4341cd57b378c88da51af664fdf101783cddcc
- Size of remote file:
- 268 MB
- SHA256:
- a827a5a5f37549291d0cc7a9e74bffd3b7a4bd37347947fc84dcd40ab7ccf733
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