Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use chari-md/bert-finetuned-ner-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chari-md/bert-finetuned-ner-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chari-md/bert-finetuned-ner-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chari-md/bert-finetuned-ner-trainer") model = AutoModelForTokenClassification.from_pretrained("chari-md/bert-finetuned-ner-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:6b556a282d155012d91b352d350e565ac1c594660f637e76a46f5e7136e2cd71
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size 430933924
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