Instructions to use boapps/kmdb_ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boapps/kmdb_ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="boapps/kmdb_ner_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("boapps/kmdb_ner_model") model = AutoModelForTokenClassification.from_pretrained("boapps/kmdb_ner_model") - Notebooks
- Google Colab
- Kaggle
revert intermediate size
Browse files- config.json +1 -1
config.json
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"12": "I-POS_LOC"
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},
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"initializer_range": 0.02,
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"intermediate_size":
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"label2id": {
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"B-NEG_LOC": 9,
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"B-NEG_ORG": 1,
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"12": "I-POS_LOC"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-NEG_LOC": 9,
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"B-NEG_ORG": 1,
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