Text Classification
Transformers
PyTorch
Safetensors
bert
Eval Results (legacy)
text-embeddings-inference
Instructions to use Sociovestix/lenu_ES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sociovestix/lenu_ES with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sociovestix/lenu_ES")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sociovestix/lenu_ES") model = AutoModelForSequenceClassification.from_pretrained("Sociovestix/lenu_ES") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md d063e00 verified
Update README.md 52f072c verified
Update metadata with huggingface_hub 838cc22 verified
Update metadata with huggingface_hub 4703768 verified
added model 6a37190 verified
added the tokenizer 39fe513 verified
Update README.md 3b26abc
Update README.md f72b813
Update README.md a456d4f
Update README.md 8ee759e
Update metadata with huggingface_hub 3183255
Update metadata with huggingface_hub 8ec894c
added model 3ca9c27
added the tokenizer 3eb2948
initial commit 410a0b2
Alexander Arimond commited on