Instructions to use nasa-impact/science-keyword-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nasa-impact/science-keyword-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nasa-impact/science-keyword-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nasa-impact/science-keyword-classification") model = AutoModelForSequenceClassification.from_pretrained("nasa-impact/science-keyword-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6177aeeb7823810e61b9eba1fae48f7dca8d67d6890d9690dd7f44d32d22718c
- Size of remote file:
- 5.43 kB
- SHA256:
- 5e148719ab875ff00516bfe4758c0d886ccf1c4590ce8ab8c356272ac9057110
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