Instructions to use bertin-project/bertin-base-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-base-random")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-random") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd47f5e9df0bc6d3b7b6b1037dd6779f947372d52988fdc76d60a50f86863dae
- Size of remote file:
- 500 MB
- SHA256:
- 36fd1d72c730f47122b9c0dea8f19334e1279c1d98a6e1ec95a30953f336eb42
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