Instructions to use hle2000/mpnet_subgraphs_reraking_t5xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot