Instructions to use buetnlpbio/birna-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buetnlpbio/birna-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="buetnlpbio/birna-bert", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("buetnlpbio/birna-bert", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("buetnlpbio/birna-bert", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d17bb984c2f940cbfac62affd9c1b6c5c2f3f149098a1d55620aca526ad771e9
- Size of remote file:
- 468 MB
- SHA256:
- 4833ca3207d1908a86acffc84d6435379ab65c8da8f1790065c3c683bdacef3b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.