How to use hle2000/mpnet_subgraphs_reraking_t5xl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hle2000/mpnet_subgraphs_reraking_t5xl")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hle2000/mpnet_subgraphs_reraking_t5xl") model = AutoModelForSequenceClassification.from_pretrained("hle2000/mpnet_subgraphs_reraking_t5xl", device_map="auto")
https://huggingface.co/hle2000/mpnet_subgraphs_reraking_t5xl/resolve/main/README.md
hf download hf://hle2000/mpnet_subgraphs_reraking_t5xl/README.md
curl -L -o README.md https://huggingface.co/hle2000/mpnet_subgraphs_reraking_t5xl/resolve/main/README.md
datasets: - AmazonScience/mintaka language: - en metrics: - precision - f1 - accuracy pipeline_tag: text-classification
