Text Classification
Adapters
Amharic
art
code
text-generation-inference
medical
music
legal
finance
biology
chemistry
climate
Merge
Instructions to use nbloc/text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use nbloc/text_classification with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("nbloc/text_classification", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from nbloc/text_classification: direct link, hf CLI and curl.
- Browser
- Download file 409 Bytes
-
https://huggingface.co/nbloc/text_classification/resolve/main/README.md
- Command line
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hf download hf://nbloc/text_classification/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/nbloc/text_classification/resolve/main/README.md
409 Bytes
| license: mit | |
| datasets: | |
| - openai/MMMLU | |
| - HuggingFaceFV/finevideo | |
| language: | |
| - am | |
| metrics: | |
| - accuracy | |
| - code_eval | |
| - character | |
| base_model: | |
| - openai/whisper-large-v3-turbo | |
| new_version: openai/whisper-large-v3-turbo | |
| pipeline_tag: text-classification | |
| library_name: adapter-transformers | |
| tags: | |
| - art | |
| - code | |
| - text-generation-inference | |
| - medical | |
| - music | |
| - legal | |
| - finance | |
| - biology | |
| - chemistry | |
| - climate | |
| - merge | |