Instructions to use vjerioviohve/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vjerioviohve/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vjerioviohve/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vjerioviohve/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("vjerioviohve/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vjerioviohve/bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/vjerioviohve/bert-finetuned-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://vjerioviohve/bert-finetuned-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vjerioviohve/bert-finetuned-ner/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- a7f4f0ac6494997c94fce6b7e3b8af6dec2b2db56d5885b7e1e2d50c3df27d4a
- Size of remote file:
- 5.78 kB
- SHA256:
- 95aa928a9de177721aab3b1ab866a3d5712bafc12c85da0a7a168293b18a389f
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