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:
- b6aee32b8573298c1adcf8a70075f1af91413cb6dd9dbf54a30e8993ed886408
- Size of remote file:
- 2.99 kB
- SHA256:
- 625d52990db3df9613eb5d9bea850c39676787219069782d02fe01d1d938aec2
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