Instructions to use dhtocks/Topic-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhtocks/Topic-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhtocks/Topic-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhtocks/Topic-Classification") model = AutoModelForSequenceClassification.from_pretrained("dhtocks/Topic-Classification") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
79d9f6c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:dd04baf7fda3cea8da974ea7b031da7b5b301ef64e07ef7d8ffc71a651430a0e
size 498623176
|