Update example code

README.md

@@ -88,17 +88,18 @@ This model was trained entirely on English research articles and will likely not
 Use the code below to get started with the model.
 
 ```bash
-pip install https://huggingface.co/brabus61/en_finding_fossils_transformer/resolve/main/en_finding_fossils_transformer-any-py3-none-any.whl
+pip install https://huggingface.co/finding-fossils/metaextractor-spacy/resolve/main/en_metaextractor_spacy-0.0.0-py3-none-any.whl
 ```
 
 ```python
 # Using spacy.load().
 import spacy
-nlp = spacy.load("en_finding_fossils_transformer")
+nlp = spacy.load("en_metaextractor_spacy")
 
 # Importing as module.
-import en_finding_fossils_transformer
-ner_pipe = en_finding_fossils_transformer.load()
+import en_metaextractor_spacy
+ner_pipe = en_metaextractor_spacy.load()
+
 doc = ner_pipe("In Northern Canada, the BGC site core was primarily made up of Pinus pollen.")
 
 entities = []