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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:30547e0174670b57acfe1cc7ae0624b6fa1fae6836b53fa717713b4d398ea3a9
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size 440276672
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