Instructions to use BigSalmon/BestMask2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/BestMask2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigSalmon/BestMask2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/BestMask2") model = AutoModelForMaskedLM.from_pretrained("BigSalmon/BestMask2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BigSalmon/BestMask2: direct link, hf CLI and curl.
- Browser
- Download file 2.67 kB
-
https://huggingface.co/BigSalmon/BestMask2/resolve/main/training_args.bin
- Command line
-
hf download hf://BigSalmon/BestMask2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BigSalmon/BestMask2/resolve/main/training_args.bin
2.67 kB
- Xet hash:
- addbf2a579e83b58a4f603cdb92e49e6e78e6827581ebf2b7ca1386c19b6d683
- Size of remote file:
- 2.67 kB
- SHA256:
- dc98fe555a0e6ea9fcb44988b26d5b306eed4a864ac0462334ef6427321384b1
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