Instructions to use AIRI-Institute/gena-lm-bert-base-yeast 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-yeast 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-yeast", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AIRI-Institute/gena-lm-bert-base-yeast", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("AIRI-Institute/gena-lm-bert-base-yeast", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9405b01689894b721509b3bef6091bf9e542e0ec7359a1bdb8aeabc379c932b8
- Size of remote file:
- 541 MB
- SHA256:
- 8c1059ed204133549387223ba0a5141a2628c99982ca19546aa21473201a6a68
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