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
U's are not in the Vocabulary
#3
by Nicorota - opened
U's are not in the Vocabulary, so I suppose all Us in RNA sequences are encoded as Ts in birna-bert, otherwise if you trained with Us, the tokeniser encoded all Us as UNK tokens!