Instructions to use Wilson2021/mymodel1007 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wilson2021/mymodel1007 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Wilson2021/mymodel1007")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Wilson2021/mymodel1007") model = AutoModelForMaskedLM.from_pretrained("Wilson2021/mymodel1007", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Wilson2021/mymodel1007: direct link, hf CLI and curl.
- Browser
- Download file 1.22 kB
-
https://huggingface.co/Wilson2021/mymodel1007/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://Wilson2021/mymodel1007@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Wilson2021/mymodel1007/resolve/refs%2Fpr%2F1/training_args.bin
1.22 kB
- Xet hash:
- acbaf13ab448620f690549323d840a4ea9d3db049087ab9a0f6e3147b2bcd8c8
- Size of remote file:
- 1.22 kB
- SHA256:
- f63ba17f90e35c4a322734c061e686358452f35732e62f553a5ac195e3060a23
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