Instructions to use hyperonym/xlm-roberta-longformer-base-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyperonym/xlm-roberta-longformer-base-16384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hyperonym/xlm-roberta-longformer-base-16384")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hyperonym/xlm-roberta-longformer-base-16384") model = AutoModel.from_pretrained("hyperonym/xlm-roberta-longformer-base-16384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b48b5e719c8acb783579833ab52e045919670880feb37e7b41e2697c6fb3d6bc
- Size of remote file:
- 1.25 GB
- SHA256:
- 2ce3baf1e35c85aa62697b40f2a784ae8f9cf947b5aac45e597b67d92c64572e
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