Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use gmguarino/ModernBERT-climateguard-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gmguarino/ModernBERT-climateguard-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gmguarino/ModernBERT-climateguard-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gmguarino/ModernBERT-climateguard-classifier") model = AutoModelForSequenceClassification.from_pretrained("gmguarino/ModernBERT-climateguard-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gmguarino/ModernBERT-climateguard-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/gmguarino/ModernBERT-climateguard-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://gmguarino/ModernBERT-climateguard-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gmguarino/ModernBERT-climateguard-classifier/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 2245e660aeb55f8d0b0a7b72dac63ee6a4794a6edca73acda00f3ba32d95d7ca
- Size of remote file:
- 5.43 kB
- SHA256:
- 2e8d16b6d65429e93a9d4b4660b8bb9a4099d01e13301d6abe85d4d4234c13a9
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