Instructions to use damlab/GO-language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damlab/GO-language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="damlab/GO-language")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("damlab/GO-language") model = AutoModelForMaskedLM.from_pretrained("damlab/GO-language", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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initial weights
06255cf
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adding trainer, readme, and tokenizer
769b5d9 -
initial commit
4aa1946