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
Fix model description and dataset reference
#1
by BananaMindBot - opened
The model card states the model was trained on an 'unknown dataset' and has 'More information needed' placeholders, but the YAML frontmatter correctly identifies the dataset as heitorrosa/cvm-corpus. I updated the description to reflect this and removed the generic placeholders to make the card informative.
Opened automatically by BananaMindBot. Close it if it is not useful - no hard feelings.