Instructions to use heitorrosa/logun-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use heitorrosa/logun-base with PEFT:
Task type is invalid.
- Transformers
How to use heitorrosa/logun-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="heitorrosa/logun-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("heitorrosa/logun-base") model = AutoModelForMaskedLM.from_pretrained("heitorrosa/logun-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Copy heitorrosa/logun-base/sft/checkpoint-150/training_args.bin to heitorrosa/logun-base/sft-0.5/checkpoint-150/training_args.bin
Browse files
sft-0.5/checkpoint-150/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:431f527e8e25692d63cf56b44304ae3623b3a431e67ee30079803765d5382b32
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size 5201
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