How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="artbreguez/albert_mbti")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("artbreguez/albert_mbti")
model = AutoModelForSequenceClassification.from_pretrained("artbreguez/albert_mbti", device_map="auto")
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Albert for MBTI text classification

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Safetensors
Model size
11.7M params
Tensor type
F32
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