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:
- 0cbc81bbe0e3dfd0e82396dfec6e9e4d7b2e5035581e3281ca1e7560f380762e
- Size of remote file:
- 250 MB
- SHA256:
- 101266d4390596691c16eca919169708aee4fa432bd7973bf51885daf6ea5b75
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