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
Download dapt/checkpoint-2000/optimizer.pt from heitorrosa/logun-base: direct link, hf CLI and curl.
- Browser
- Download file 27.2 MB
-
https://huggingface.co/heitorrosa/logun-base/resolve/main/dapt/checkpoint-2000/optimizer.pt
- Command line
-
hf download hf://heitorrosa/logun-base/dapt/checkpoint-2000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/heitorrosa/logun-base/resolve/main/dapt/checkpoint-2000/optimizer.pt
27.2 MB
- Xet hash:
- a2d135ca110f6bd81304a1ee5ac6fef1787d283dac5d8a88b48e6fe89f34814c
- Size of remote file:
- 27.2 MB
- SHA256:
- 16c35d9f4f5425b4d762ff5c9f4a11cbe9cfa724242d3709f43182f323574e38
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