Instructions to use bertin-project/bertin-base-random-exp-512seqlen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-random-exp-512seqlen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-base-random-exp-512seqlen")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-random-exp-512seqlen") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-random-exp-512seqlen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9aba4eab2fe06a2a48406905364ec22be99b6d588bf619d1e5b6d99cafac79b6
- Size of remote file:
- 250 MB
- SHA256:
- 5f6effe03a2d7299245c8a049c83d8660093ca653d65031549d8ceeb61517a64
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