Hugging Face's logo

InfoCoV
/
Cro-CoV-cseBERT

Fill-Mask
Transformers
PyTorch
bert
Inference Endpoints
Model card Files Community
1
Edit model card
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

Usage: 

from sentence_transformers import models
from sentence_transformers import SentenceTransformer

word_embedding_model = models.Transformer('Cro-CoV-cseBERT')
pooling_model = models.Pooling(word_embedding_model.get_word_embedding_dimension(),
                               pooling_mode_mean_tokens=True,
                               pooling_mode_cls_token=False,
                               pooling_mode_max_tokens=False)
model = SentenceTransformer(modules=[word_embedding_model, pooling_model], device='')  ## device = 'gpu' or 'cpu'
texts_emb = model.encode(texts)

Datasets:

https://github.com/InfoCoV/InfoCoV

Paper:

Please cite https://www.mdpi.com/2076-3417/11/21/10442

Downloads last month
70
Inference Examples
Fill-Mask
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.