modern-bert-base
The BERT model was proposed in BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding by Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova. It’s a bidirectional transformer pretrained using a combination of masked language modeling objective and next sentence prediction on a large corpus comprising the Toronto Book Corpus and Wikipedia.
- Large Language Models (LLMs)
Price: $1.362 per hour of run time, billed per second.
Run modern-bert-base via API
curl -X POST https://api.flymy.ai/api/v1/flymyai/modern-bert-base/predict \
-H "X-API-KEY: $FLYMYAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{}'API documentation · Create a free account · Pricing