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 pytorch_model.bin from tomhaishiwo/conflicbert_binary_1: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/tomhaishiwo/conflicbert_binary_1/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://tomhaishiwo/conflicbert_binary_1@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tomhaishiwo/conflicbert_binary_1/resolve/refs%2Fpr%2F1/pytorch_model.bin
436 MB
- Xet hash:
- 46875c8f8821dd1a3377f7894fc14a7cc4e63200e16e1137e319f702f24f4273
- Size of remote file:
- 436 MB
- SHA256:
- 820a9fa15979b94c5eaf89fb3b1d15f44476c9db36ffe15a3c235da703332804
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