Instructions to use jfernandez/cebuanoLanguageModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jfernandez/cebuanoLanguageModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jfernandez/cebuanoLanguageModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jfernandez/cebuanoLanguageModel") model = AutoModelForMaskedLM.from_pretrained("jfernandez/cebuanoLanguageModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
85bf5fd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:df804d392ccd2da7c023807b67106053ac068f20b5b58af56beda8dc3469a2a7
size 334058169
|