Instructions to use BillyBek/bert-fine-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BillyBek/bert-fine-tuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BillyBek/bert-fine-tuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BillyBek/bert-fine-tuning") model = AutoModelForTokenClassification.from_pretrained("BillyBek/bert-fine-tuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BillyBek/bert-fine-tuning: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/BillyBek/bert-fine-tuning/resolve/main/training_args.bin
- Command line
-
hf download hf://BillyBek/bert-fine-tuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BillyBek/bert-fine-tuning/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 9c30c3b8e58e223a7c4edde89f6e84f0cf636fa1a22413ceb2b677edf0dbcd96
- Size of remote file:
- 5.11 kB
- SHA256:
- d09828576461a01a841ce095ae6b38843d57b16b52e5fa6a1ffde79624b0db60
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