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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 226a6f0f81bdff5d78713d41e5f57ad92b8562ba182de9f0bea77a0dc3bbe111
- Size of remote file:
- 500 MB
- SHA256:
- c9d1a75da44f653a17c51e8d4384e3361118458627a8f7a1a99740cd1dbc0477
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.