Models / bert-base-multilingual-uncased-sentiment

nlptown/bert-base-multilingual-uncased-sentiment

Classification · served with Text Embeddings Inference · ↓ 686.4K downloads a month · View on Hugging Face

Weights: 330 MB
GPU memory needed: about 1.9 GB
Model allows: 512 tokens
Memory · disk: 8 GB · 21 GB
Architecture: BertForSequenceClassification
Licence: mit

Hardware and deploy

Deploying embedding and reranking models (Text Embeddings Inference) is coming soon.

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