Instructions to use AyoubChLin/bert_cnn_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/bert_cnn_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/bert_cnn_news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/bert_cnn_news") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/bert_cnn_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
4d5d7e3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:51f9f18947ff884dc33b73b5af103e586687d2d4861343516c5fb9037513294d
size 438020213
|