Instructions to use AIRI-Institute/gena-lm-bert-base-fly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIRI-Institute/gena-lm-bert-base-fly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AIRI-Institute/gena-lm-bert-base-fly", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AIRI-Institute/gena-lm-bert-base-fly", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("AIRI-Institute/gena-lm-bert-base-fly", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dea4ef793af8a4577c44c7e84d6c8352b2faffb136605b88d10cd04461a50d3
- Size of remote file:
- 541 MB
- SHA256:
- ee3dd27687125c8c8385446bce177851003c7ece38a6a67d6452c910cec9cfe7
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