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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfb8341e4b3afc887ec1a9605e21c0f7d58acf31f4ad0b744881587015e425ac
- Size of remote file:
- 250 MB
- SHA256:
- 9f64c5b858c8917d0c7c86909e61da0c0564704de3797a9d43c2570cac4b0247
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