Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Prezily/topic_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prezily/topic_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Prezily/topic_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Prezily/topic_classification") model = AutoModelForSequenceClassification.from_pretrained("Prezily/topic_classification") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
7f5abbf | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5149f0110f4218ed6b007af035f37356971a9cd25434566667501cff3ddf5d04
size 4728
|