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:
- 54b19a12dddb4434b4deb3fb9bf3a69c970ba9f95c95939927d887f3ac2afd96
- Size of remote file:
- 40.1 MB
- SHA256:
- ea70e04c1465772214d4f9d56bea1a7dafdb74cb8271887d41c4593f05623f4c
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