chunked/nltk_chunking/_autoclass_tutorial/chunk_35.txt

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.