Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use joniponi/facility-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joniponi/facility-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joniponi/facility-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joniponi/facility-classifier") model = AutoModelForSequenceClassification.from_pretrained("joniponi/facility-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
2c1fbde | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5cd7ee98bf0ab811830676b550dc0f0be14b6021b9b9c427e674ef201aac537c
size 3055
|