Instructions to use NASA-AIML/MIKA_BERT_FMEA_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NASA-AIML/MIKA_BERT_FMEA_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="NASA-AIML/MIKA_BERT_FMEA_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("NASA-AIML/MIKA_BERT_FMEA_NER") model = AutoModelForTokenClassification.from_pretrained("NASA-AIML/MIKA_BERT_FMEA_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc1069fb36172e675d1f30bafb10c4cdbffc4ecb2bd752d9f11636b759615325
- Size of remote file:
- 436 MB
- SHA256:
- a479ad591a8a4c98585c1beff76767241e145986de980cfa923971984d675ee7
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