Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use worknick/bert-base-cased-finetuned-conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use worknick/bert-base-cased-finetuned-conll2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="worknick/bert-base-cased-finetuned-conll2003")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("worknick/bert-base-cased-finetuned-conll2003") model = AutoModelForTokenClassification.from_pretrained("worknick/bert-base-cased-finetuned-conll2003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from worknick/bert-base-cased-finetuned-conll2003: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/worknick/bert-base-cased-finetuned-conll2003/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://worknick/bert-base-cased-finetuned-conll2003/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/worknick/bert-base-cased-finetuned-conll2003/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- 0f2f718a150188f3934d3f8211ead307758ff63b7e4d7a40e7b7aa60b79537c5
- Size of remote file:
- 431 MB
- SHA256:
- 3d9e8f9cc554f72375bdd7eb3040e465345828791eb450fd088aadeb31104fef
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