Text Classification
Transformers
Safetensors
multilingual
deberta-v2
custom_code
text-embeddings-inference
Instructions to use utter-project/EuroFilter-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utter-project/EuroFilter-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="utter-project/EuroFilter-v1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("utter-project/EuroFilter-v1", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("utter-project/EuroFilter-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eurollm_logo.jpeg from utter-project/EuroFilter-v1: direct link, hf CLI and curl.
- Browser
- Download file 9.91 kB
-
https://huggingface.co/utter-project/EuroFilter-v1/resolve/main/eurollm_logo.jpeg
- Command line
-
hf download hf://utter-project/EuroFilter-v1/eurollm_logo.jpeg
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curl -L -o eurollm_logo.jpeg https://huggingface.co/utter-project/EuroFilter-v1/resolve/main/eurollm_logo.jpeg
9.91 kB
