Token Classification
Transformers
TensorBoard
Safetensors
English
bert
Generated from Trainer
classification
Instructions to use JonyC/results_bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JonyC/results_bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="JonyC/results_bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("JonyC/results_bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("JonyC/results_bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JonyC/results_bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/JonyC/results_bert-finetuned-ner/resolve/main/tokenizer.json
- Command line
-
hf download hf://JonyC/results_bert-finetuned-ner/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/JonyC/results_bert-finetuned-ner/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.