Instructions to use 1Andy/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1Andy/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="1Andy/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("1Andy/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("1Andy/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 1Andy/bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/1Andy/bert-finetuned-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://1Andy/bert-finetuned-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/1Andy/bert-finetuned-ner/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 676e11e8d9100e558880b876783b0e3b1a173081dd32e549500ff18f14b7e3c3
- Size of remote file:
- 5.11 kB
- SHA256:
- ad220a46d9f198ed5ead3719692217c73280a6c0aacec3c6a4ae6148e65b3ebb
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