Text Classification
Transformers
PyTorch
Safetensors
Ukrainian
xlm-roberta
text-embeddings-inference
Instructions to use zeusfsx/title-instruction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeusfsx/title-instruction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zeusfsx/title-instruction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zeusfsx/title-instruction") model = AutoModelForSequenceClassification.from_pretrained("zeusfsx/title-instruction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5eb451cff0fc1d241289a42604496fdff222ef1b798a9ddd74e2b559b91494e
- Size of remote file:
- 440 MB
- SHA256:
- 0daad4881bada3c6d7b3f0a6ac13564e8c7f4ed5e09cf4701a19c130aac34d18
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