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
-
hf download hf://nbloc/text_classification/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/nbloc/text_classification/resolve/main/README.md
409 Bytes
metadata
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