Training with base model en_core_web_trf throws error

[ryanwesslen]

hi @ronnysh!

This seems to be similar to this issue. Can you see if this solution works?

Base model without tok2vec throws error

This might be because you are still using the --base-model parameter, while I don't ! I should have added this, but the only place a model is specified in my case is there : [components.ner.model.tok2vec] @architectures = "spacy-transformers.Tok2VecTransformer.v3" name = "camembert-base" # this here is the huggingface model to use grad_factor = 1.0 mixed_precision = false pooling = {"@layers":"reduce_mean.v1"} inside the configuration file you specified ! I am not an expert but I think you can…