Instructions to use marianna13/bert-multilingual-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marianna13/bert-multilingual-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marianna13/bert-multilingual-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marianna13/bert-multilingual-sentiment") model = AutoModelForSequenceClassification.from_pretrained("marianna13/bert-multilingual-sentiment") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
a88227a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:06e54310abe3a1e3faa0cdb0d7c11a4dbf0b39564cf860ab290c8f28f40b44ec
size 669513845
|