Instructions to use JunxiongWang/BiGS_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunxiongWang/BiGS_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JunxiongWang/BiGS_128")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("JunxiongWang/BiGS_128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JunxiongWang/BiGS_128: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/JunxiongWang/BiGS_128/resolve/main/tokenizer.json
- Command line
-
hf download hf://JunxiongWang/BiGS_128/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/JunxiongWang/BiGS_128/resolve/main/tokenizer.json
711 kB
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