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 training_args.bin from exontidev/SISUSIK: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/exontidev/SISUSIK/resolve/main/training_args.bin
- Command line
-
hf download hf://exontidev/SISUSIK/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/exontidev/SISUSIK/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- ab22a2ed12b720c2d4153223c87fd21d8bb0d71f75599b2756a1afaa35383701
- Size of remote file:
- 3.71 kB
- SHA256:
- 9e3f43330a68011a17587c2c644cabf9d5f91d8f0c1b5af48db43b0e6c8245cf
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