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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2376102e504dbc066bc9037ed8bd7068eca306fd9b201855595e89789a97d21
- Size of remote file:
- 5.11 kB
- SHA256:
- 21064e852609f3da1c3a7a0efcf28ba8280c9b08411c9dcf8500bc91e0a261ec
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