Text Classification
Transformers
Safetensors
English
oscar-1
decision-model
system-one
calibrated-decisions
rlcd
laya
ettin
classification
routing
scoring
guardrails
moderation
reinforcement-learning
commercial-use
Eval Results (legacy)
Instructions to use mgoeckel/oscar-1-68m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgoeckel/oscar-1-68m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mgoeckel/oscar-1-68m")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mgoeckel/oscar-1-68m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K