Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use KKrueger/relex_pre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KKrueger/relex_pre with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KKrueger/relex_pre")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KKrueger/relex_pre") model = AutoModelForSequenceClassification.from_pretrained("KKrueger/relex_pre") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ddfc85ff095754e44cf8b7425be865d703f4f4e674f909dd64a9e5a624714e0
- Size of remote file:
- 2.24 GB
- SHA256:
- 4564b6f6486390b105819bbac3940b615a7813ff523936912f80da2283c636ab
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