Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use underscore2/modernbert_large_reply_engagement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/modernbert_large_reply_engagement with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="underscore2/modernbert_large_reply_engagement")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("underscore2/modernbert_large_reply_engagement") model = AutoModelForSequenceClassification.from_pretrained("underscore2/modernbert_large_reply_engagement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from underscore2/modernbert_large_reply_engagement: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/underscore2/modernbert_large_reply_engagement/resolve/main/training_args.bin
- Command line
-
hf download hf://underscore2/modernbert_large_reply_engagement/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/underscore2/modernbert_large_reply_engagement/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- a96f024435643ab91af0e52eb0179ceeb04eb4598ed83c87b116632a9e7ceacf
- Size of remote file:
- 5.78 kB
- SHA256:
- 3f48878386a7a020acb2b79d00bc6e56281c022341de2827879b2a3ca9adbb09
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