Text Classification
Transformers
Safetensors
English
mpnet
edu score
data filter
text-embeddings-inference
Instructions to use pszemraj/mpnet-base-edu-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/mpnet-base-edu-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pszemraj/mpnet-base-edu-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pszemraj/mpnet-base-edu-classifier") model = AutoModelForSequenceClassification.from_pretrained("pszemraj/mpnet-base-edu-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 0.9999459527627146, | |
| "eval_loss": 0.2105061411857605, | |
| "eval_mse": 0.21050613161735238, | |
| "eval_runtime": 6.5728, | |
| "eval_samples": 1000, | |
| "eval_samples_per_second": 152.141, | |
| "eval_steps_per_second": 19.018 | |
| } |