How to use samirmsallem/gbert-base-coherence_evaluation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="samirmsallem/gbert-base-coherence_evaluation")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("samirmsallem/gbert-base-coherence_evaluation") model = AutoModelForSequenceClassification.from_pretrained("samirmsallem/gbert-base-coherence_evaluation", device_map="auto")
https://huggingface.co/samirmsallem/gbert-base-coherence_evaluation/resolve/main/tokenizer.json
hf download hf://samirmsallem/gbert-base-coherence_evaluation/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/samirmsallem/gbert-base-coherence_evaluation/resolve/main/tokenizer.json
