Instructions to use nasa-impact/document-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nasa-impact/document-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nasa-impact/document-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nasa-impact/document-classifier") model = AutoModelForSequenceClassification.from_pretrained("nasa-impact/document-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccdcf4b613fdf4988ff7532e40a95c717da526d6901bf689dc9a69237876c567
- Size of remote file:
- 469 MB
- SHA256:
- f2e4df1178ff9fe6f28700e310c34d057d8c251b529a2a867e477c336c431da3
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