Text Classification
Transformers
Safetensors
modernbert
git
github
issue
difficulty
text-embeddings-inference
Instructions to use FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FOSSistant/FOSSistant-Difficulty-Prediction-v0.3.0")# 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,095 Bytes
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library_name: transformers
tags:
- git
- github
- issue
- difficulty
datasets:
- FOSSistant/github-issues-v0.3.0
base_model:
- answerdotai/ModernBERT-large
pipeline_tag: text-classification
---
# FOSSistant-Difficulty-Prediction-v0.3.0
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [Unchun Yang](https://huggingface.co/ucyang)
- **Finetuned from model:** [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large)
### Model Sources
<!-- Provide the basic links for the model. -->
- **Repository:** [GitHub](https://github.com/FOSSistant/FOSSistant_AI_Model)
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. |