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="sileod/deberta-v3-base-tasksource-adapters")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, Adapter

tokenizer = AutoTokenizer.from_pretrained("sileod/deberta-v3-base-tasksource-adapters")
model = Adapter.from_pretrained("sileod/deberta-v3-base-tasksource-adapters", device_map="auto")
Quick Links
!pip install tasknet tasksource
import tasknet as tn
pipe = tn.load_pipeline('sileod/deberta-v3-base-tasksource-nli','glue/sst2') # works for 500+ tasksource tasks
pipe(['That movie was great !', 'Awful movie.'])
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