Instructions to use tum-nlp/neural-news-discriminator-RoBERTa-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tum-nlp/neural-news-discriminator-RoBERTa-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tum-nlp/neural-news-discriminator-RoBERTa-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tum-nlp/neural-news-discriminator-RoBERTa-tr") model = AutoModelForSequenceClassification.from_pretrained("tum-nlp/neural-news-discriminator-RoBERTa-tr") - Notebooks
- Google Colab
- Kaggle
File size: 130 Bytes
6778b56 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:991e43ac880e77aebf04614d32b64496de373d179b23ef29fce160acf7668ee9
size 14244
|