Text Classification
Transformers
Safetensors
English
modernbert
intent-classification
banking77
Eval Results (legacy)
text-embeddings-inference
Instructions to use sukhrobnurali/modernbert-base-banking77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sukhrobnurali/modernbert-base-banking77 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sukhrobnurali/modernbert-base-banking77")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sukhrobnurali/modernbert-base-banking77") model = AutoModelForSequenceClassification.from_pretrained("sukhrobnurali/modernbert-base-banking77", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sukhrobnurali/modernbert-base-banking77: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/sukhrobnurali/modernbert-base-banking77/resolve/main/training_args.bin
- Command line
-
hf download hf://sukhrobnurali/modernbert-base-banking77/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sukhrobnurali/modernbert-base-banking77/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 9d2dd9aaa8591f6a6f2e2a5c72fdc59e61c7b3e468470165ceb234120bbf9bd3
- Size of remote file:
- 5.2 kB
- SHA256:
- 284180ae0ec64aa0c40903734cd85167f9a351f6f3ae42c1596299fc5ae9ec5c
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