Instructions to use eshoyuan/my_awesome_eli5_mlm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eshoyuan/my_awesome_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eshoyuan/my_awesome_eli5_mlm_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eshoyuan/my_awesome_eli5_mlm_model") model = AutoModelForMaskedLM.from_pretrained("eshoyuan/my_awesome_eli5_mlm_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eshoyuan/my_awesome_eli5_mlm_model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/eshoyuan/my_awesome_eli5_mlm_model/resolve/main/training_args.bin
- Command line
-
hf download hf://eshoyuan/my_awesome_eli5_mlm_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eshoyuan/my_awesome_eli5_mlm_model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 12f18f7ded0e32115cda202e06f11936adfa93fe02beb60b8ecfb30bef4de1b5
- Size of remote file:
- 4.6 kB
- SHA256:
- d0ff897cdd84d25a28c3ccd80c7f0832b77811a595921b195837e38dd2c8ab81
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