Text Classification
Transformers
TensorBoard
Safetensors
modernbert
sentiment
multilingual
sentiment-analysis
product-reviews
place-reviews
text-embeddings-inference
Instructions to use clapAI/modernBERT-base-multilingual-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clapAI/modernBERT-base-multilingual-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="clapAI/modernBERT-base-multilingual-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("clapAI/modernBERT-base-multilingual-sentiment") model = AutoModelForSequenceClassification.from_pretrained("clapAI/modernBERT-base-multilingual-sentiment") - Inference
- Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Dec31_23-10-49_hn-fornix-testing-gpu-platform-2
- Dec31_23-29-20_hn-fornix-testing-gpu-platform-2
- Dec31_23-31-59_hn-fornix-testing-gpu-platform-2
- Dec31_23-40-45_hn-fornix-testing-gpu-platform-2
- Dec31_23-47-53_hn-fornix-testing-gpu-platform-2
- Dec31_23-51-05_hn-fornix-testing-gpu-platform-2
- Jan01_00-09-49_hn-fornix-testing-gpu-platform-2
- Jan01_01-03-55_hn-fornix-testing-gpu-platform-2