Instructions to use bertin-project/bertin-base-stepwise-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-stepwise-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-stepwise-exp-512seqlen")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-stepwise-exp-512seqlen") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-stepwise-exp-512seqlen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1fe5489e06c3ee3a233bba65a68d60bf500675cb2df0f5e0152e4633c808580
- Size of remote file:
- 499 MB
- SHA256:
- 06c60621f443054b98aa2dc500b083ddeee3dd86e2824265efb7bd7e8002d4b9
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