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
| {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "truncation": true, "padding": "max_length", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "models\\Pre-trained-BERT\\checkpoint-318766", "tokenizer_class": "BertTokenizer"} |