Instructions to use Freakid/sentiment-analysis-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Freakid/sentiment-analysis-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Freakid/sentiment-analysis-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Freakid/sentiment-analysis-model") model = AutoModelForSequenceClassification.from_pretrained("Freakid/sentiment-analysis-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Freakid/sentiment-analysis-model: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Freakid/sentiment-analysis-model/resolve/main/training_args.bin
- Command line
-
hf download hf://Freakid/sentiment-analysis-model/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Freakid/sentiment-analysis-model/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 479fe7813bc13b49c8002279b3ae8f98159a681e9f62575b7567190f9aef6adc
- Size of remote file:
- 5.3 kB
- SHA256:
- bd91aea5254acd7b2e0f3596593b6f2396a31970a5ede84d1b19bd94a522b9b5
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