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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa43615ef13db217e86e055de37f0c7fd9de1af7ee345b65e013fb94c9635546
- Size of remote file:
- 250 MB
- SHA256:
- b9361bf57ad2ead83a8e61463af52a266432dbe017ac67e69e4fc14ff2f99bc2
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