Instructions to use Amalq/stress-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amalq/stress-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Amalq/stress-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Amalq/stress-roberta-base") model = AutoModelForMaskedLM.from_pretrained("Amalq/stress-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cc3d8581767c5c5ec29142a8be2bb32d08f5feb9873e41d6f2d7f0476648c5f
- Size of remote file:
- 3.58 kB
- SHA256:
- 672a78daadb24d97ed8237daf8200b06e21e615b6e51d96758c2094499b4911d
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