Instructions to use Dave17/bert-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dave17/bert-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dave17/bert-sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Dave17/bert-sentiment") model = AutoModelForSequenceClassification.from_pretrained("Dave17/bert-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from Dave17/bert-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 408 Bytes
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https://huggingface.co/Dave17/bert-sentiment/resolve/main/.gitattributes
- Command line
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hf download hf://Dave17/bert-sentiment/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/Dave17/bert-sentiment/resolve/main/.gitattributes
408 Bytes
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