diff --git a/website/meta/universe.json b/website/meta/universe.json index ba770a3fd..b1a61598e 100644 --- a/website/meta/universe.json +++ b/website/meta/universe.json @@ -978,6 +978,48 @@ "category": ["pipeline"], "tags": ["pipeline", "danish"] }, + { + "id": "spacy-wrap", + "title": "spaCy-wrap", + "slogan": "For Wrapping fine-tuned transformers in spaCy pipelines", + "description": "spaCy-wrap is a wrapper library for spaCy for including fine-tuned transformers from Huggingface in your spaCy pipeline allowing inclusion of existing models within existing workflows.", + "github": "kennethenevoldsen/spacy-wrap", + "pip": "spacy_wrap", + "code_example": [ + "import spacy", + "import spacy_wrap", + "", + "nlp = spacy.blank('en')", + "config = {", + " 'doc_extension_trf_data': 'clf_trf_data', # document extention for the forward pass", + " 'doc_extension_prediction': 'sentiment', # document extention for the prediction", + " 'labels': ['negative', 'neutral', 'positive'],", + " 'model': {", + " 'name': 'cardiffnlp/twitter-roberta-base-sentiment', # the model name or path of huggingface model", + "},", + "}", + "", + "transformer = nlp.add_pipe('classification_transformer', config=config)", + "transformer.model.initialize()", + "", + "doc = nlp('spaCy is a wonderful tool')", + "", + "print(doc._.clf_trf_data)", + "# TransformerData(wordpieces=...", + "print(doc._.sentiment)", + "# 'positive'", + "print(doc._.sentiment_prob)", + "# {'prob': array([0.004, 0.028, 0.969], dtype=float32), 'labels': ['negative', 'neutral', 'positive']}" + ], + "thumb": "https://raw.githubusercontent.com/KennethEnevoldsen/spacy-wrap/main/docs/_static/icon.png", + "author": "Kenneth Enevoldsen", + "author_links": { + "github": "KennethEnevoldsen", + "website": "https://www.kennethenevoldsen.com" + }, + "category": ["pipeline", "models", "training"], + "tags": ["pipeline", "models", "transformers"] + }, { "id": "textdescriptives", "title": "TextDescriptives",