I am also getting this after training a bert model and importing it to Rasa X.
My config.yml is the following:
# Configuration for Rasa NLU.
# https://rasa.com/docs/rasa/nlu/components/
language: "en"
pipeline:
- name: HFTransformersNLP
model_weights: "bert-base-uncased"
model_name: "bert"
- name: LanguageModelTokenizer
intent_tokenization_flag: True
intent_split_symbol: "+"
- name: LanguageModelFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
analyzer: "char_wb"
min_ngram: 1
max_ngram: 4
- name: DIETClassifier
epochs: 30
num_transformer_layers: 4
transformer_size: 256
use_masked_language_model: True
drop_rate: 0.25
weight_sparsity: 0.7
batch_size: [32, 128]
embedding_dimension: 30
hidden_layer_sized:
text: [512, 128]
- name: "DucklingHTTPExtractor"
url: "http://localhost:8000"
dimensions: ["time", "number"]
locale: "en_US"
timezone: "US/Pacific"
timeout : 3
- name: EntitySynonymMapper
# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/
policies:
- name: MemoizationPolicy
- name: TEDPolicy
featurizer:
- name: MaxHistoryTrackerFeaturizer
max_history: 5
state_featurizer:
- name: LabelTokenizerSingleStateFeaturizer
- name: MappingPolicy
- name: FormPolicy
- name: FallbackPolicy
ambiguity_threshold: 0.1
nlu_threshold: 0.4
core_threshold: 0.3
fallback_action_name: "action_default_fallback"
Here is the error in my docker-compose environment for Rasa X:
rasa-worker_1 | 2020-04-30 20:09:05 ERROR rasa.core.agent - An exception was raised while fetching a model. Continuing anyways...
rasa-worker_1 | Traceback (most recent call last):
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/transformers/tokenization_utils.py", line 383, in _from_pretrained
rasa-worker_1 | resume_download=resume_download,
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/transformers/file_utils.py", line 238, in cached_path
rasa-worker_1 | user_agent=user_agent,
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/transformers/file_utils.py", line 349, in get_from_cache
rasa-worker_1 | os.makedirs(cache_dir, exist_ok=True)
rasa-worker_1 | File "/usr/local/lib/python3.6/os.py", line 210, in makedirs
rasa-worker_1 | makedirs(head, mode, exist_ok)
rasa-worker_1 | File "/usr/local/lib/python3.6/os.py", line 210, in makedirs
rasa-worker_1 | makedirs(head, mode, exist_ok)
rasa-worker_1 | File "/usr/local/lib/python3.6/os.py", line 220, in makedirs
rasa-worker_1 | mkdir(name, mode)
rasa-worker_1 | PermissionError: [Errno 13] Permission denied: '/.cache'
rasa-worker_1 |
rasa-worker_1 | During handling of the above exception, another exception occurred:
rasa-worker_1 |
rasa-worker_1 | Traceback (most recent call last):
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/core/agent.py", line 203, in _run_model_pulling_worker
rasa-worker_1 | await _update_model_from_server(model_server, agent)
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/core/agent.py", line 125, in _update_model_from_server
rasa-worker_1 | _load_and_set_updated_model(agent, model_directory, new_model_fingerprint)
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/core/agent.py", line 86, in _load_and_set_updated_model
rasa-worker_1 | interpreter = RasaNLUInterpreter(model_directory=nlu_path)
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/core/interpreter.py", line 274, in __init__
rasa-worker_1 | self._load_interpreter()
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/core/interpreter.py", line 297, in _load_interpreter
rasa-worker_1 | self.interpreter = Interpreter.load(self.model_directory)
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/model.py", line 301, in load
rasa-worker_1 | return Interpreter.create(model_metadata, component_builder, skip_validation)
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/model.py", line 328, in create
rasa-worker_1 | component_meta, model_metadata.model_dir, model_metadata, **context
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/components.py", line 718, in load_component
rasa-worker_1 | component_meta, model_dir, model_metadata, cached_component, **context
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/registry.py", line 231, in load_component_by_meta
rasa-worker_1 | component_meta, model_dir, metadata, cached_component, **kwargs
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/components.py", line 445, in load
rasa-worker_1 | return cls(meta)
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/hf_transformers.py", line 47, in __init__
rasa-worker_1 | self._load_model()
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/hf_transformers.py", line 81, in _load_model
rasa-worker_1 | self.model_weights, cache_dir=self.cache_dir
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/transformers/tokenization_utils.py", line 309, in from_pretrained
rasa-worker_1 | return cls._from_pretrained(*inputs, **kwargs)
rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/transformers/tokenization_utils.py", line 400, in _from_pretrained
rasa-worker_1 | raise EnvironmentError(msg)
rasa-worker_1 | OSError: Couldn't reach server at '{}' to download vocabulary files.