
# BERTSSON Models

The models are trained on:
- Government Text
- Swedish Literature
- Swedish News

Corpus size: Roughly 6B tokens.

The following models are currently available:

- **bertsson** - A BERT base model trained with the same hyperparameters as first published by Google.

All models are cased and trained with whole word masking.

Stay tuned for evaluations. 

{"language": "sv"}
transformers pytorch jax bert sv endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #bert #sv #endpoints_compatible #region-us 


# BERTSSON Models

The models are trained on:
- Government Text
- Swedish Literature
- Swedish News

Corpus size: Roughly 6B tokens.

The following models are currently available:

- bertsson - A BERT base model trained with the same hyperparameters as first published by Google.

All models are cased and trained with whole word masking.

Stay tuned for evaluations. 

# BERTSSON Models

The models are trained on:
- Government Text
- Swedish Literature
- Swedish News

Corpus size: Roughly 6B tokens.

The following models are currently available:

- bertsson - A BERT base model trained with the same hyperparameters as first published by Google.

All models are cased and trained with whole word masking.

Stay tuned for evaluations.
TAGS
#transformers #pytorch #jax #bert #sv #endpoints_compatible #region-us 
 # BERTSSON Models

The models are trained on:
- Government Text
- Swedish Literature
- Swedish News

Corpus size: Roughly 6B tokens.

The following models are currently available:

- bertsson - A BERT base model trained with the same hyperparameters as first published by Google.

All models are cased and trained with whole word masking.

Stay tuned for evaluations.
passage: TAGS
#transformers #pytorch #jax #bert #sv #endpoints_compatible #region-us 
# BERTSSON Models

The models are trained on:
- Government Text
- Swedish Literature
- Swedish News

Corpus size: Roughly 6B tokens.

The following models are currently available:

- bertsson - A BERT base model trained with the same hyperparameters as first published by Google.

All models are cased and trained with whole word masking.

Stay tuned for evaluations.