Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use ocm/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ocm/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ocm/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ocm/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("ocm/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd987cb7f99b464bc35db5bafbf92e43f4fc54d14ef2b0ba2926d65f8c409707
- Size of remote file:
- 3.58 kB
- SHA256:
- cd6ad960eccd218a00e5e77f4563a9c1ee7c7b806416a3ffd6545ee62e82e5b9
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