# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("AntoineBlanot/roberta-large-seq-classif")
model = AutoModelForSequenceClassification.from_pretrained("AntoineBlanot/roberta-large-seq-classif")Quick Links
roberta-large-3way
This is the checkpoint for roberta-large after being trained on a various of tasks inlcuding various of datasets. The used datasets have been transformed in a binary setting: non-entailment and entailment
It can be directly used as a NLI inference model or a zero-shot classifier.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AntoineBlanot/roberta-large-seq-classif")