RASA issue with SpacyTokenizer

Rasa Open Source
1

I am facing the below issue when using the “SpacyTokenizer”. Can anyone please help!

The following components require a SpacyTokenizer: run_SpacyFeaturizer2. Please add the required components to your model configuration.

Below is my config.yml:


# The config recipe.
# https://rasa.com/docs/rasa/model-configuration/
recipe: default.v1

# Configuration for Rasa NLU.
# https://rasa.com/docs/rasa/nlu/components/
language: en

pipeline:
  - name: "SpacyNLP"
    model: "en_core_web_md"
    case_sensitive: False
  - name: "SpacyEntityExtractor"
  - name: "SpacyFeaturizer"
    pooling: mean
  - name: "DIETClassifier"
    epochs: 100
policies:
# # No configuration for policies was provided. The following default policies were used to train your model.
# # If you'd like to customize them, uncomment and adjust the policies.
# # See https://rasa.com/docs/rasa/policies for more information.
   - name: MemoizationPolicy
   - name: KerasPolicy
   - name: MappingPolicy
2

@kpullabhotla try add

- name: SpacyTokenizer

before

- name: "SpacyEntityExtractor"

3

It worked thanks a lot!

4

@kpullabhotla no worries, can I request to please close this thread as a solution.