Instructions to use nornor02/working with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nornor02/working with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nornor02/working")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nornor02/working") model = AutoModelForMaskedLM.from_pretrained("nornor02/working", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nornor02/working: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/nornor02/working/resolve/main/training_args.bin
- Command line
-
hf download hf://nornor02/working/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nornor02/working/resolve/main/training_args.bin
4.28 kB
- Xet hash:
- c5f733d9fe648b3151beedf4c015a41770e86fb58825c5f13886612ccdd59067
- Size of remote file:
- 4.28 kB
- SHA256:
- a00a3c41ffe28d0f0aa3e234870ef2c3af26a84389184b2536f971f171662a38
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