Instructions to use exontidev/SISUSIK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use exontidev/SISUSIK with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="exontidev/SISUSIK")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("exontidev/SISUSIK") model = AutoModelForMaskedLM.from_pretrained("exontidev/SISUSIK", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from exontidev/SISUSIK: direct link, hf CLI and curl.
- Browser
- Download file 33.7 MB
-
https://huggingface.co/exontidev/SISUSIK/resolve/main/optimizer.pt
- Command line
-
hf download hf://exontidev/SISUSIK/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/exontidev/SISUSIK/resolve/main/optimizer.pt
33.7 MB
- Xet hash:
- 9c684a9b1c1ded0d399ab4ef0443080e60d4bfac5a2377311a63501f3d6fa654
- Size of remote file:
- 33.7 MB
- SHA256:
- a75a020e4db95abc515cb935eda828726104f8c96deb46fb499b86189c2f39e5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.