Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use tlapusan/bert-finetuned-ner_tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tlapusan/bert-finetuned-ner_tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tlapusan/bert-finetuned-ner_tmp")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tlapusan/bert-finetuned-ner_tmp") model = AutoModelForTokenClassification.from_pretrained("tlapusan/bert-finetuned-ner_tmp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:586b1e526f1f7a20dc7d6c66080c34c620830c084699e63b06bab66a07e60c76
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size 430933924
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