Instructions to use dejanai/sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dejanai/sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dejanai/sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dejanai/sentiment") model = AutoModelForSequenceClassification.from_pretrained("dejanai/sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download goodies/data.csv from dejanai/sentiment: direct link, hf CLI and curl.
- Browser
- Download file 11.1 MB
-
https://huggingface.co/dejanai/sentiment/resolve/main/goodies/data.csv
- Command line
-
hf download hf://dejanai/sentiment/goodies/data.csv
-
curl -L -o data.csv https://huggingface.co/dejanai/sentiment/resolve/main/goodies/data.csv
11.1 MB
- Xet hash:
- ed41f080d0db0095ac616aabea0842dbdb16e0d32f585fee6d66b95a1b2157d1
- Size of remote file:
- 11.1 MB
- SHA256:
- 8bed21061c54fb40693e1879336dfd2be7f1583089ed286fe395e44e3fda1762
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