Instructions to use tomhaishiwo/conflicbert_binary_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomhaishiwo/conflicbert_binary_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tomhaishiwo/conflicbert_binary_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tomhaishiwo/conflicbert_binary_1") model = AutoModelForSequenceClassification.from_pretrained("tomhaishiwo/conflicbert_binary_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tomhaishiwo/conflicbert_binary_1: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/tomhaishiwo/conflicbert_binary_1/resolve/main/training_args.bin
- Command line
-
hf download hf://tomhaishiwo/conflicbert_binary_1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tomhaishiwo/conflicbert_binary_1/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 72c53c8c8b7525367c38c92fece7954bdde79e0c562cd7297419afba28cbdcda
- Size of remote file:
- 4.09 kB
- SHA256:
- bd120cc4bae515923b96b5d3ff6586eec52261fe3d96750e6c763a9210fcde32
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