Text Classification
Transformers
PyTorch
Safetensors
bert
Eval Results (legacy)
text-embeddings-inference
Instructions to use Sociovestix/lenu_EE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sociovestix/lenu_EE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sociovestix/lenu_EE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sociovestix/lenu_EE") model = AutoModelForSequenceClassification.from_pretrained("Sociovestix/lenu_EE") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 4d0eaa8 verified
Update README.md f0dca5c verified
Update metadata with huggingface_hub d3e6476 verified
Update metadata with huggingface_hub aa0eaa2 verified
added model 42695b0 verified
added the tokenizer 57c9f64 verified
Update README.md 6098968
Update metadata with huggingface_hub aa1fdf7
Update metadata with huggingface_hub 2730149
added model bf15d97
added the tokenizer 2cd8de1
initial commit 2c86e32
Alexander Arimond commited on