Instructions to use vppvgit/Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vppvgit/Finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vppvgit/Finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vppvgit/Finetuned") model = AutoModelForMaskedLM.from_pretrained("vppvgit/Finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89585d1348262a1506ecd59a4f2272cca454b2df4dece2102cffa193dfa3a00d
- Size of remote file:
- 443 MB
- SHA256:
- 8d0f210a7a9bcc576e06177f5b7cd86a8a470a99e3fcf3099d2adc18dcf9e7bf
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