Instructions to use stefan-it/bort-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stefan-it/bort-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="stefan-it/bort-full")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("stefan-it/bort-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from stefan-it/bort-full: direct link, hf CLI and curl.
- Browser
- Download file 511 MB
-
https://huggingface.co/stefan-it/bort-full/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://stefan-it/bort-full/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stefan-it/bort-full/resolve/main/pytorch_model.bin
511 MB
- Xet hash:
- 5e8b03a26524da7118591f89d24a45d4a76d3fa569eb5e3487b90492d70f4c28
- Size of remote file:
- 511 MB
- SHA256:
- ff85adaea4cafc0c5ae91196b7c8c31d3cfdeaec256a491d72086315166184ee
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