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:
- d740b1fdfe2430890de728bcf4efbde45f4684bcd083f058d0b786bae0c8e494
- Size of remote file:
- 500 MB
- SHA256:
- edd1079d9598c4890bc8e4a7222bcf12fb70e9c4e00fc33499e01a01e37915e3
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