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")# pip install -U transformers accelerate # 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
Download optimizer.pt from NASA-AIML/MIKA_BERT_FMEA_NER: direct link, hf CLI and curl.
- Browser
- Download file 871 MB
-
https://huggingface.co/NASA-AIML/MIKA_BERT_FMEA_NER/resolve/main/optimizer.pt
- Command line
-
hf download hf://NASA-AIML/MIKA_BERT_FMEA_NER/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/NASA-AIML/MIKA_BERT_FMEA_NER/resolve/main/optimizer.pt
871 MB
- Xet hash:
- 09231ff3d4b706a3ab2e7685cbd495fa66b743b3c3676b92c653f404e4a059f0
- Size of remote file:
- 871 MB
- SHA256:
- 652ae36e9735e0b7c7eaca4098b3bdd9ff12db19779261d59c1786f2558c9fd2
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