Instructions to use damgomz/ft_bs32_lr6_mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damgomz/ft_bs32_lr6_mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="damgomz/ft_bs32_lr6_mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("damgomz/ft_bs32_lr6_mlm") model = AutoModelForSequenceClassification.from_pretrained("damgomz/ft_bs32_lr6_mlm") - Notebooks
- Google Colab
- Kaggle
Upload AlbertForSequenceClassification
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