Instructions to use DragosGorduza/FRPile_MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DragosGorduza/FRPile_MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DragosGorduza/FRPile_MLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DragosGorduza/FRPile_MLM") model = AutoModelForMaskedLM.from_pretrained("DragosGorduza/FRPile_MLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d7ddd28fdadb4cdfa160298bc3eb07e9e109a64e5439a43d62e669ef4176943
- Size of remote file:
- 1.34 GB
- SHA256:
- c5479734ed35447e544660a7b021e174d43dae2dce3dc9e67dcab497638f14f4
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