Instructions to use Maybe1407/diffusion_robustness_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maybe1407/diffusion_robustness_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Maybe1407/diffusion_robustness_imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Maybe1407/diffusion_robustness_imdb") model = AutoModelForMaskedLM.from_pretrained("Maybe1407/diffusion_robustness_imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d348b6fd0675b11bee284b4b627bd3d00cadb2410679fd8570354b422a916995
- Size of remote file:
- 1.42 GB
- SHA256:
- 39f1397ed5aac89244d5a8c87386ee61ddb6890d8dae9b4fcaeafb68d24fe137
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