Instructions to use Zlovoblachko/roberta-base_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zlovoblachko/roberta-base_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Zlovoblachko/roberta-base_binary")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Zlovoblachko/roberta-base_binary") model = AutoModelForTokenClassification.from_pretrained("Zlovoblachko/roberta-base_binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Zlovoblachko/roberta-base_binary: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Zlovoblachko/roberta-base_binary/resolve/main/training_args.bin
- Command line
-
hf download hf://Zlovoblachko/roberta-base_binary/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Zlovoblachko/roberta-base_binary/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 412492d63b0e6bbd7349f7d131306954cb5949289238ae08078205332b933922
- Size of remote file:
- 5.37 kB
- SHA256:
- 7c5e97b4b8cb1fee58d94ebebfe18d75d7b2839f8564f7aed314fc5fa2450569
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