Instructions to use AnonymousSub/declutr-s10-AR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/declutr-s10-AR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousSub/declutr-s10-AR")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/declutr-s10-AR") model = AutoModelForSequenceClassification.from_pretrained("AnonymousSub/declutr-s10-AR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5475cbc8cff8beee201cbf2462df54102ffdd1682dbcf01bc687050ce17fa0fc
- Size of remote file:
- 3.12 kB
- SHA256:
- df75749eec966a9abc31086668238f4b59245e7c6e4a63a7a6b56347416ecdca
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