# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("LugatitTurk/LugatitBert")
model = AutoModelForSequenceClassification.from_pretrained("LugatitTurk/LugatitBert")Quick Links
tags: - generated_from_trainer library_name: transformers
Your Model Name
LugatitBert
How to use
You can use this model directly with the transformers library:
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("LugatitTurk/LugatitBert")
model = AutoModelForSequenceClassification.from_pretrained("LugatitTurk/LugatitBert")
inputs = tokenizer("Hello, my dog is cute", return_tensors="pt")
outputs = model(**inputs)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LugatitTurk/LugatitBert")