I am trying to perform NER inference on conll03-en.

This is what I tried:

1. Train conll03-en from config, then perform inference with saved model

from farm.experiment import run_experiment, load_experiments
experiments = load_experiments('experiments/ner/conll2003_en_config.json')
run_experiment(experiments[0])

model = Inferencer.load('saved_models/CONLL2003')
basic_texts = [
    {"text": "Japan began the defence of their Asian Cup title with a lucky 2 win against Syria in a Group C championship match on Friday."},
]
result = model.inference_from_dicts(dicts=basic_texts)
print(result)

This does not return any predictions: [{'task': 'ner', 'predictions': []}]

2. I also try to rewrite the conll2003_en_config.json as pure python code, by adapting examples/ner.py, but no luck either

3. Also note that the NER evaluations work on both examples above, just not the inference.

4. Note also that examples/ner.py (German CONLL) worked fine for inference.

What am I missing?

Thanks