Instructions to use nlpodyssey/bert-multilingual-uncased-intelligence-headlines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpodyssey/bert-multilingual-uncased-intelligence-headlines with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nlpodyssey/bert-multilingual-uncased-intelligence-headlines")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nlpodyssey/bert-multilingual-uncased-intelligence-headlines") model = AutoModelForSequenceClassification.from_pretrained("nlpodyssey/bert-multilingual-uncased-intelligence-headlines", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
7b31fe8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1bee5c6fdccee72e394847ba2bb78afdb25c0f016f1e953f875fdf7be577816e
size 669933421
|