Instructions to use Alg-Allies/FirstModel-finetunedBERT-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alg-Allies/FirstModel-finetunedBERT-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Alg-Allies/FirstModel-finetunedBERT-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Alg-Allies/FirstModel-finetunedBERT-NER") model = AutoModelForTokenClassification.from_pretrained("Alg-Allies/FirstModel-finetunedBERT-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Alg-Allies/FirstModel-finetunedBERT-NER: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Alg-Allies/FirstModel-finetunedBERT-NER/resolve/main/training_args.bin
- Command line
-
hf download hf://Alg-Allies/FirstModel-finetunedBERT-NER/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Alg-Allies/FirstModel-finetunedBERT-NER/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 78f6a056575702783b41e990715fc9b878e4e4f6794a48850c220577339b29a7
- Size of remote file:
- 4.92 kB
- SHA256:
- c41b294be4480a77dbb7e4a57da73e730a7cbe82e50f60204dc177c25a60ae06
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