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For example, load a model for sequence classification with [TFAutoModelForSequenceClassification.from_pretrained]:
from transformers import TFAutoModelForSequenceClassification
model = TFAutoModelForSequenceClassification.from_pretrained("distilbert/distilbert-base-uncased")
Easily reuse the same checkpoint to load an architecture for a different task:
from transformers import TFAutoModelForTokenClassification
model = TFAutoModelForTokenClassification.from_pretrained("distilbert/distilbert-base-uncased")
Generally, we recommend using the AutoTokenizer class and the TFAutoModelFor class to load pretrained instances of models. |