Edit model card

!!! At the moment, the model is distilled, a version from one of the first checkpoints is available for download. We plan to post the full model in the next few days. !!!

This is a distilled HRBert model for an mlm task.

Sentence embeddings can be produced as follows:


# pip install transformers

from transformers import pipeline


fill_mask = pipeline(
    "fill-mask",
    model='RabotaRu/HRBert-mini',
    tokenizer='RabotaRu/HRBert-mini'
)

fill_mask('<mask> на склад')
Downloads last month
44
Safetensors
Model size
80.3M params
Tensor type
I64
·
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.