Instructions to use cabrooks/LOGION-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cabrooks/LOGION-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cabrooks/LOGION-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cabrooks/LOGION-base") model = AutoModelForMaskedLM.from_pretrained("cabrooks/LOGION-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 1 year ago
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Adding `safetensors` variant of this model
#3 opened over 2 years ago
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Adding `safetensors` variant of this model
#2 opened almost 3 years ago
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Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot