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
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
tokenizer = AutoTokenizer.from_pretrained("zeusfsx/title-instruction")
model = AutoModelForSequenceClassification.from_pretrained("zeusfsx/title-instruction")
classification = pipeline("text-classification", model=model, tokenizer=tokenizer, device="mps") # for mac I used mps
- Downloads last month
- 6