Instructions to use SCAI-BIO/bio-gottbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SCAI-BIO/bio-gottbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SCAI-BIO/bio-gottbert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SCAI-BIO/bio-gottbert-base") model = AutoModelForMaskedLM.from_pretrained("SCAI-BIO/bio-gottbert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3623d41c534e142b6edc94546c8770be112c49532d2c9f4d64929b69a647cda2
- Size of remote file:
- 504 MB
- SHA256:
- 00977c0bf083356fe6b357bf1a42ad186b814c898b47a95adf95dde775c025cf
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