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:
- fbc38692e61275bd695248ca6c40ab5255be4d08c2edaf4b97543c48d743c86b
- Size of remote file:
- 250 MB
- SHA256:
- 5c7d4eb96066429cc62a1c0eff3317892b2e70dce9d0815d749515d1cfc2366b
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