Instructions to use MishaD/FinetunedBertForSentimentClassification91 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use MishaD/FinetunedBertForSentimentClassification91 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("MishaD/FinetunedBertForSentimentClassification91", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from MishaD/FinetunedBertForSentimentClassification91: direct link, hf CLI and curl.
- Browser
- Download file 129 Bytes
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https://huggingface.co/MishaD/FinetunedBertForSentimentClassification91/resolve/main/README.md
- Command line
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hf download hf://MishaD/FinetunedBertForSentimentClassification91/README.md
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curl -L -o README.md https://huggingface.co/MishaD/FinetunedBertForSentimentClassification91/resolve/main/README.md
129 Bytes
metadata
license: openrail
language:
- en
metrics:
- accuracy
pipeline_tag: text-classification
library_name: adapter-transformers