nielklug

/

enhg_tagger

like 0

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="nielklug/enhg_tagger")

# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("nielklug/enhg_tagger")
model = AutoModelForTokenClassification.from_pretrained("nielklug/enhg_tagger", device_map="auto")