How to use waboucay/xlm-roberta-longformer-base-4096-xnli_fr_3_classes-repnum_wl_3_classes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="waboucay/xlm-roberta-longformer-base-4096-xnli_fr_3_classes-repnum_wl_3_classes")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("waboucay/xlm-roberta-longformer-base-4096-xnli_fr_3_classes-repnum_wl_3_classes") model = AutoModelForSequenceClassification.from_pretrained("waboucay/xlm-roberta-longformer-base-4096-xnli_fr_3_classes-repnum_wl_3_classes", device_map="auto")
We obtain the following results on validation and test sets:
validation
test
