Instructions to use ChilyRan/base_bert_ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChilyRan/base_bert_ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ChilyRan/base_bert_ner_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ChilyRan/base_bert_ner_model") model = AutoModelForTokenClassification.from_pretrained("ChilyRan/base_bert_ner_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 063adc73eb4e8586d57046c0dd289fa71f2ba2a26b3df8918670630242ebe786
- Size of remote file:
- 5.37 kB
- SHA256:
- 73b83fd39b3d5e47ec72a8bc1d80252bacfe7fb48a1c92cc8e5e2b4a097ab8be
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