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")# 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
Download tokenizer.json from heitorrosa/logun-base: direct link, hf CLI and curl.
- Browser
- Download file 3.66 MB
-
https://huggingface.co/heitorrosa/logun-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://heitorrosa/logun-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/heitorrosa/logun-base/resolve/main/tokenizer.json
3.66 MB
File too large to display, you can check the raw version instead.