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
bertin-base-stepwise-exp-512seqlen / outputs /checkpoints /checkpoint-45000 /optimizer_state.msgpack
- Xet hash:
- 714791b3a336694f959ae9ae6a9be4ace373ac0d2bc693597161440b77311d54
- Size of remote file:
- 500 MB
- SHA256:
- 2a9133a05008cc9387dd2616518a02c3ab756bed4f17ec29c3cc3d6a2232f9a2
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