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 model.pt from MSGEncrypted/ocf-typed-decisions-mbert-base: direct link, hf CLI and curl.
- Browser
- Download file 655 MB
-
https://huggingface.co/MSGEncrypted/ocf-typed-decisions-mbert-base/resolve/main/model.pt
- Command line
-
hf download hf://MSGEncrypted/ocf-typed-decisions-mbert-base/model.pt
-
curl -L -o model.pt https://huggingface.co/MSGEncrypted/ocf-typed-decisions-mbert-base/resolve/main/model.pt
655 MB
- Xet hash:
- b5b5ce84361276a664467cc0ec607b391e5fa5de8f20eb648ab993ce2a718188
- Size of remote file:
- 655 MB
- SHA256:
- 8455d5f88af89d8b4ff136fd52fff28cce6eeabb859eab0491a1c07637947dbb
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