Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use DayCardoso/modernbert-base-multi-head-values-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DayCardoso/modernbert-base-multi-head-values-context with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DayCardoso/modernbert-base-multi-head-values-context")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DayCardoso/modernbert-base-multi-head-values-context") model = AutoModelForSequenceClassification.from_pretrained("DayCardoso/modernbert-base-multi-head-values-context", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DayCardoso/modernbert-base-multi-head-values-context: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/DayCardoso/modernbert-base-multi-head-values-context/resolve/main/training_args.bin
- Command line
-
hf download hf://DayCardoso/modernbert-base-multi-head-values-context/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DayCardoso/modernbert-base-multi-head-values-context/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 40e6b84223faecd6a14d244a3d199756effa372f81d2acc67852585e07ff6de4
- Size of remote file:
- 5.43 kB
- SHA256:
- 488c1466cad1b354b3842fcf6beb3f8fbe7df580c69553b37124bb8220cd6da2
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