Instructions to use MSGEncrypted/ocf-typed-decisions-mbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MSGEncrypted/ocf-typed-decisions-mbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MSGEncrypted/ocf-typed-decisions-mbert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MSGEncrypted/ocf-typed-decisions-mbert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download temperatures.json from MSGEncrypted/ocf-typed-decisions-mbert-base: direct link, hf CLI and curl.
- Browser
- Download file 52 Bytes
-
https://huggingface.co/MSGEncrypted/ocf-typed-decisions-mbert-base/resolve/main/temperatures.json
- Command line
-
hf download hf://MSGEncrypted/ocf-typed-decisions-mbert-base/temperatures.json
-
curl -L -o temperatures.json https://huggingface.co/MSGEncrypted/ocf-typed-decisions-mbert-base/resolve/main/temperatures.json
52 Bytes
| { | |
| "choice": 1.5, | |
| "score": 1.25, | |
| "noul": 1.5 | |
| } | |