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:
- 206a4bf5a5bbef50983a306c7d200ed7bb93c38a2175f7c290b76d2fc1d20dd7
- Size of remote file:
- 4.03 kB
- SHA256:
- 63248d3212eed9dc79dcf28db34d358c07675fbcbcd9e5b5d24121d0ccc9f00a
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