Text Classification
Transformers
Safetensors
English
bert
Text Classification
TDAMM
Multi-label Classification
NASA
Astrophysics
text-embeddings-inference
Instructions to use nasa-impact/tdamm-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nasa-impact/tdamm-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nasa-impact/tdamm-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nasa-impact/tdamm-classification") model = AutoModelForSequenceClassification.from_pretrained("nasa-impact/tdamm-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 128 Bytes
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