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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58ce4c14aad57172aa249cc738ee5d55e7588b47c4c08de2e29b48942f15453b
- Size of remote file:
- 5.33 kB
- SHA256:
- 16d5b079114bb4cb56c9f28dbe21505e958377286c05060cb3c6f2c3b08f56c6
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