**Config Validation Error** when load en_core_web_trf

[su-park]

How to reproduce the behaviour

When I try to load 'en_core_web_trf' it returns below error.

import spacy
nlp = spacy.load("en_core_web_trf")

ConfigValidationError: 

Config validation error

batch_size   field required

{'lang': 'en', 'pipeline': ['transformer', 'tagger', 'parser', 'ner', 'attribute_ruler', 'lemmatizer'], 'disabled': [], 'before_creation': None, 'after_creation': None, 'after_pipeline_creation': None, 'tokenizer': {'@tokenizers': 'spacy.Tokenizer.v1'}}

Your Environment

• spaCy version: 3.0.6
• Platform: Linux-4.15.0-45-generic-x86_64-with-Ubuntu-18.04-bionic
• Python version: 3.7.5
• Pipelines: en_core_web_sm (3.0.0), en_core_web_trf (3.0.0a0)

[adrianeboyd]

Hi, note that this is an alpha version of the trf model (3.0.0a0 instead of 3.0.0), so it wasn't the final release. Use spacy download to download the updated version.

[su-park]

Thank you for your swift response.

Since I am working on closed environment there is no way but to download and install the model in repository(en_core_web_trf-3.0.0.tar.gz
) manually.

Is there any way to download updated version?

[su-park]

check 3.0.0.

I guess this is the lastest version.

[polm]

Yes, the release you linked to is the latest version. If you download the tar gz you should be able to just install it with pip install.