Instructions to use dell-research-harvard/byline-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dell-research-harvard/byline-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dell-research-harvard/byline-detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dell-research-harvard/byline-detection") model = AutoModelForTokenClassification.from_pretrained("dell-research-harvard/byline-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dell-research-harvard/byline-detection: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/dell-research-harvard/byline-detection/resolve/main/training_args.bin
- Command line
-
hf download hf://dell-research-harvard/byline-detection/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dell-research-harvard/byline-detection/resolve/main/training_args.bin
3.9 kB
- Xet hash:
- f6d91c11090c8a2e399e00f06cb60e45090ec199543b9319c2a310144a55b406
- Size of remote file:
- 3.9 kB
- SHA256:
- 8cecdf7663b130bad12b8f725190bf3057127153e5d89ac916ea9a54ddb8aa8d
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