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:
- 2d9daf440fa42b3f120026b474b369176f1bf00c921d63a0780226d3b9aa81bd
- Size of remote file:
- 500 MB
- SHA256:
- fe2b0c85e7f2988ae9d5ea7856586fe2486a5297592019dd384b01e2ba59e95b
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