Instructions to use world-wide/sent-sci-irrelevance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use world-wide/sent-sci-irrelevance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="world-wide/sent-sci-irrelevance")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("world-wide/sent-sci-irrelevance") model = AutoModelForSequenceClassification.from_pretrained("world-wide/sent-sci-irrelevance", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from world-wide/sent-sci-irrelevance: direct link, hf CLI and curl.
- Browser
- Download file 5.92 kB
-
https://huggingface.co/world-wide/sent-sci-irrelevance/resolve/main/sample_input.pkl
- Command line
-
hf download hf://world-wide/sent-sci-irrelevance/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/world-wide/sent-sci-irrelevance/resolve/main/sample_input.pkl
5.92 kB
- Xet hash:
- 9731988b1bfdd8b5a3d0de08895c9dbc4de1c1fb47da80c5a89217cef1229de4
- Size of remote file:
- 5.92 kB
- SHA256:
- 159abfbe9c7999a54f1a8f498678c8dcb92dafa33872099abf7397e37f8ad551
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