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="Parth1612/pp_albert_ft_emotions")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Parth1612/pp_albert_ft_emotions")
model = AutoModelForSequenceClassification.from_pretrained("Parth1612/pp_albert_ft_emotions", device_map="auto")
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Model size
11.7M params
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F32
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Dataset used to train Parth1612/pp_albert_ft_emotions