Text Classification
Transformers
Safetensors
English
new
education
custom_code
text-embeddings-inference
Instructions to use ilanAtk/gte-base-lazy-teacher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilanAtk/gte-base-lazy-teacher with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ilanAtk/gte-base-lazy-teacher", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("ilanAtk/gte-base-lazy-teacher", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Details
Model Description
This model was trained for an app called LazyTeacher. The objective is to train a model so that it automatically predicts the grade that a professor would have given to a student.
- Developed by: Ilan Aliouchouche & Ilyes Djerfaf
- Language(s): English
- Finetuned from model: Alibaba-NLP/gte-base-en-v1.5
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