Text Classification
Transformers
Safetensors
English
modernbert
ModernBERT-large
text-embeddings-inference
Instructions to use disham993/electrical-classification-ModernBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use disham993/electrical-classification-ModernBERT-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="disham993/electrical-classification-ModernBERT-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("disham993/electrical-classification-ModernBERT-large") model = AutoModelForSequenceClassification.from_pretrained("disham993/electrical-classification-ModernBERT-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from disham993/electrical-classification-ModernBERT-large: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/disham993/electrical-classification-ModernBERT-large/resolve/main/tokenizer.json
- Command line
-
hf download hf://disham993/electrical-classification-ModernBERT-large/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/disham993/electrical-classification-ModernBERT-large/resolve/main/tokenizer.json
3.58 MB
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