Instructions to use theArif/bert-finetuned-ner-conll-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theArif/bert-finetuned-ner-conll-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="theArif/bert-finetuned-ner-conll-accelerate")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("theArif/bert-finetuned-ner-conll-accelerate") model = AutoModelForTokenClassification.from_pretrained("theArif/bert-finetuned-ner-conll-accelerate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from theArif/bert-finetuned-ner-conll-accelerate: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/theArif/bert-finetuned-ner-conll-accelerate/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://theArif/bert-finetuned-ner-conll-accelerate/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/theArif/bert-finetuned-ner-conll-accelerate/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- b15d68a994be3fa46118d9bf23091ccc821eb0005dad45585bb3c576a42126d0
- Size of remote file:
- 431 MB
- SHA256:
- 9cee937678890abc16b33c97ed6ad7518af220061564f7e725e7d87f2a400110
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