Token Classification
Transformers
Safetensors
gpt2
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use jise/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jise/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jise/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jise/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("jise/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78bd89df55601ccf396452c2ac8b151175c6a97ca3f6acbc7767decab2c640c6
- Size of remote file:
- 5.3 kB
- SHA256:
- 7237367cb37b42adf782a97bb23fd1e6dd265b8ac186fe4ed6f25d65c5241b94
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