Text Classification
Transformers
Safetensors
modernbert
unspsc
multi-label-classification
query-intent
Eval Results (legacy)
text-embeddings-inference
Instructions to use Subramanya97/modernbert-large-unspsc-query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Subramanya97/modernbert-large-unspsc-query with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Subramanya97/modernbert-large-unspsc-query")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Subramanya97/modernbert-large-unspsc-query") model = AutoModelForSequenceClassification.from_pretrained("Subramanya97/modernbert-large-unspsc-query", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Subramanya97/modernbert-large-unspsc-query: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/Subramanya97/modernbert-large-unspsc-query/resolve/main/tokenizer.json
- Command line
-
hf download hf://Subramanya97/modernbert-large-unspsc-query/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Subramanya97/modernbert-large-unspsc-query/resolve/main/tokenizer.json
3.58 MB
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