Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use dpravinv/modernbert-banking77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dpravinv/modernbert-banking77 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dpravinv/modernbert-banking77")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dpravinv/modernbert-banking77") model = AutoModelForSequenceClassification.from_pretrained("dpravinv/modernbert-banking77", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dpravinv/modernbert-banking77: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/dpravinv/modernbert-banking77/resolve/main/training_args.bin
- Command line
-
hf download hf://dpravinv/modernbert-banking77/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dpravinv/modernbert-banking77/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 67927b0dbf4817dcb308551a4dce81ff4ddfa22854d2955dc637ee62ea261f49
- Size of remote file:
- 5.37 kB
- SHA256:
- 3125a0530c4bd96b56ead325b99315d4cfd0e37edf076e45a130ed0244e6f690
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