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:
- 2bd97abc2eeb95f62efb3f574e62cd66cd6b5ffde6aa4418412774d7b83f93d5
- Size of remote file:
- 250 MB
- SHA256:
- 88e78ae26ac4d3f4891d12ce9c6856b25907020e2aa4a3a833b95a37746d25c6
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