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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8766d26674017d2ea2bb3b01e14e71d98e2531465e5eb2c4cc2e6043c7896db1
- Size of remote file:
- 499 MB
- SHA256:
- 40a2beae4457573b6fe2a045f768c2a6e78a6b6bc9a0556391f5ee3ee3bcdf49
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