Model reference · open weights
indobert-p1 is an open-weight embedding model from indobenchmark, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
IndoBERT Base Model (phase1 - uncased) IndoBERT is a state-of-the-art language model for Indonesian based on the BERT model. The pretrained model is trained using a masked language modeling (MLM) objective and next sentence prediction (NSP) objective. All Pre-trained Models How to use Load model and tokenizer Extract contextual representation Authors Citation If you use our work, please cite:
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | indobenchmark |
|---|---|
| Type | Embedding models |
| Context | 512 tokens |
| Variants | 1 |
| Runs with | transformers |
| Released | 2022-03-02 |
| Popularity | 351k downloads / month |
| Likes | 53 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| indobert-base-p1 | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys indobert-p1 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (indobert-p1 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/embeddings \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"indobert-p1","input":"text to embed"}'
Licence
Open weights under mit — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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