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 pytorch_model.bin from BigSalmon/BestMask2: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/BigSalmon/BestMask2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BigSalmon/BestMask2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BigSalmon/BestMask2/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 7e40c14f46bdf7c67ce44e8454abf402725ffc7130bf76dab630c9ea738ba06f
- Size of remote file:
- 499 MB
- SHA256:
- 40dabbdee96372d622e186776922843d2735b7aa370074c9a78512a908aca5fb
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