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Dede1989600/
FLAN-T5_sexism_amCAD

Name: FLAN-T5_sexism_amCAD
Availability: InStock

text-generation-inference

endpoints_compatible

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Some example code to load our model locally and generate a prediction:

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Dede1989600/sexism_amCAD")
model = AutoModelForSeq2SeqLM.from_pretrained("Dede1989600/sexism_amCAD")

inputs = tokenizer("This is a test that should be labelled as no hate", return_tensors="pt")
outputs = model.generate(**inputs)
tokenizer.decode(outputs[0], skip_special_tokens=True)

The model returns either 1 for sexist or 0 for non-sexist

Dede1989600/FLAN-T5_sexism_amCAD

Dede1989600/
FLAN-T5_sexism_amCAD