Instructions to use hangmu/9.4AIstudy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hangmu/9.4AIstudy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hangmu/9.4AIstudy")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hangmu/9.4AIstudy") model = AutoModelForMaskedLM.from_pretrained("hangmu/9.4AIstudy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hangmu/9.4AIstudy: direct link, hf CLI and curl.
- Browser
- Download file 1.24 kB
-
https://huggingface.co/hangmu/9.4AIstudy/resolve/main/training_args.bin
- Command line
-
hf download hf://hangmu/9.4AIstudy/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hangmu/9.4AIstudy/resolve/main/training_args.bin
1.24 kB
- Xet hash:
- bc7899307e8df572e7fed47f1a15797aa589817ad899316a56e09960daf01a32
- Size of remote file:
- 1.24 kB
- SHA256:
- 3b8eb4ad1c93daf2097af6d9d14e5ba220aac1918437ac4de5a4f07c42a7ee9d
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