Model reference · open weights
dictabert-seg
dictabert-seg is an open-weight embedding model from dicta-il. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | dicta-il |
|---|---|
| Type | Embedding models |
| Task | Embeddings |
| Parameters (lead) | 185M |
| Context | 512 tokens |
| Runs with | transformers |
| Released | 2023-08-29 |
| Popularity | 4k downloads / month |
| Licence | Open weights |
About
What dictabert-seg is
State-of-the-art language model for Hebrew, released here.
This is the fine-tuned model for the prefix segmentation task.
For the bert-base models for other tasks, see here.
Sample usage:
from transformers import AutoModel, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('dicta-il/dictabert-seg')
model = AutoModel.from_pretrained('dicta-il/dictabert-seg', trust_remote_code=True)
model.eval()
sentence = 'בשנת 1948 השלים אפרים קישון את לימודיו בפיסול מתכת ובתולדות האמנות והחל לפרסם מאמרים הומוריסטיים'
print(model.predict([sentence], tokenizer))
Output:
[
[
[ "[CLS]" ],
[ "ב","שנת" ],
[ "1948" ],
[ "השלים" ],
[ "אפרים" ],
[ "קישון" ],
[ "את" ],
[ "לימודיו" ],
[ "ב","פיסול" ],
[ "מתכת" ],
[ "וב","תולדות" ],
[ "ה","אמנות" ],
[ "ו","החל" ],
[ "לפרסם" ],
[ "מאמרים" ],
[ "הומוריסטיים" ],
[ "[SEP]" ]
]
]
Read the full model card
Citation
If you use DictaBERT in your research, please cite DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew
BibTeX:
@misc{shmidman2023dictabert,
title={DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew},
author={Shaltiel Shmidman and Avi Shmidman and Moshe Koppel},
year={2023},
eprint={2308.16687},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
License
Shield: 
This work is licensed under a Creative Commons Attribution 4.0 International License.
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Call it like any OpenAI endpoint
Once AxForge deploys dictabert-seg for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (dictabert-seg 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":"dictabert-seg","input":"text to embed"}'
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