Instructions to use paulo037/longformer-schema-linking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulo037/longformer-schema-linking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="paulo037/longformer-schema-linking", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("paulo037/longformer-schema-linking") model = AutoModelForSequenceClassification.from_pretrained("paulo037/longformer-schema-linking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcbe1208feff3b59e6108bf3ea8cae5402a7345a3c919cf550858adeea2dc2f5
- Size of remote file:
- 5.3 kB
- SHA256:
- 5d20eeffaccf4d51210cb56f6a5ce399d3733a85e38ca63d2a89db167a9c07fd
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