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
| 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. |