Instructions to use Zamoranesis/delirium_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zamoranesis/delirium_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Zamoranesis/delirium_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Zamoranesis/delirium_roberta") model = AutoModelForMaskedLM.from_pretrained("Zamoranesis/delirium_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b763d47327a70bb2c0a3d26244e96af14a1301f886a97fa20702400ec6a55b64
- Size of remote file:
- 4.09 kB
- SHA256:
- 35bcd477222f67cddb7aa91ffa2c9663787ceb430eb59c53d996797a10bd2478
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