Instructions to use DeepMount00/Italian_NER_XXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepMount00/Italian_NER_XXL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DeepMount00/Italian_NER_XXL")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DeepMount00/Italian_NER_XXL") model = AutoModelForTokenClassification.from_pretrained("DeepMount00/Italian_NER_XXL") - Inference
- Notebooks
- Google Colab
- Kaggle
model adds spaces after special charachters
#4
by sepehrJafari - opened
You have one of the best NER repositories for Italian language.
I notice a problem about this particular model. I notice the model output inserts spaces after each special characters
www.ABCD.com => www. ABCD. com
this is how I create the pipeline
tokenizer = AutoTokenizer.from_pretrained("DeepMount00/Italian_NER_XXL")
model = AutoModelForTokenClassification.from_pretrained("DeepMount00/Italian_NER_XXL", ignore_mismatched_sizes=True)
nlp = pipeline("ner", model=model, tokenizer=tokenizer, aggregation_strategy = 'simple')
DeepMount00 changed discussion status to closed