Text Classification
Transformers
Safetensors
modernbert
git
github
issue
difficulty
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0")
model = AutoModelForSequenceClassification.from_pretrained("FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0")Quick Links
FOSSistant-Difficulty-Prediction-v0.3.0
Model Details
Model Description
- Developed by: Unchun Yang
- Finetuned from model: answerdotai/ModernBERT-large
Model Sources
- Repository: GitHub
Bias, Risks, and Limitations
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.
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Model tree for FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0
Base model
answerdotai/ModernBERT-large
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0")