Instructions to use NASA-AIML/MIKA_SafeAeroBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NASA-AIML/MIKA_SafeAeroBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NASA-AIML/MIKA_SafeAeroBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NASA-AIML/MIKA_SafeAeroBERT") model = AutoModelForMaskedLM.from_pretrained("NASA-AIML/MIKA_SafeAeroBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2704b763acfd7ce97b41d6b1ac8879c561feb231d00f0c6fff422495c01a933b
- Size of remote file:
- 627 Bytes
- SHA256:
- ab3169029a398e76d6013cadd402227ef5f345365c777edfd7ad382de6b99270
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