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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c9cc9c3a3bd187652d6c50cfb27982487614e98f5396abd7a9f2420dd98a674
- Size of remote file:
- 500 MB
- SHA256:
- f14801925e2477fa86ea9cbbaa8242bce2abb24dd98a6bf9da9bb72bc69fcf8e
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