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:
- 7fc5106c08182a5a791cf63694be5cdf96504281cdcaec105d7b829445c924fd
- Size of remote file:
- 1.42 GB
- SHA256:
- 03342ce6aa09013a75d7d109657c4da91cbe5d4498ae9a6efc2948f740540e99
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