Instructions to use nieila/fyp-essay-grader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nieila/fyp-essay-grader with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nieila/fyp-essay-grader")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nieila/fyp-essay-grader") model = AutoModelForSequenceClassification.from_pretrained("nieila/fyp-essay-grader") - Notebooks
- Google Colab
- Kaggle
fyp-essay-grader
This repository contains the score prediction model for rubric-based interdisciplinary essay evaluation.
What it does
The model takes essay text as input and produces raw scores for multiple rubric dimensions.
Notes
This is the scoring model only. Final rubric levels are obtained after applying calibrated thresholds stored in thresholds.json.
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