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:
- 6efdfbf9cc410b3ea7d3fa6f30f6348407abaff0f04460ea101fdb26d2ce36a2
- Size of remote file:
- 499 MB
- SHA256:
- 0207c51b36e30e76443ee1b583ee4b9cec08b6a1f7dfc3d5c731d9813c469351
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