Instructions to use eternalGenius/rubert_level1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eternalGenius/rubert_level1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eternalGenius/rubert_level1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eternalGenius/rubert_level1") model = AutoModelForSequenceClassification.from_pretrained("eternalGenius/rubert_level1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "IsFunctional": 0.1, | |
| "IsNonFunctional": 0.7, | |
| "IsBusiness": 0.85, | |
| "Other (OT)": 0.1, | |
| "Availability (A)": 0.45, | |
| "Fault Tolerance (FT)": 0.4, | |
| "Legal (L)": 0.65, | |
| "Look & Feel (LF)": 0.15, | |
| "Maintainability (MN)": 0.15, | |
| "Operability (O)": 0.45, | |
| "Performance (PE)": 0.5, | |
| "Portability (PO)": 0.5, | |
| "Scalability (SC)": 0.25, | |
| "Security (SE)": 0.35, | |
| "Usability (US)": 0.25 | |
| } |