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 scheduler.pt from tomhaishiwo/conflicbert_binary_1: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/tomhaishiwo/conflicbert_binary_1/resolve/main/scheduler.pt
- Command line
-
hf download hf://tomhaishiwo/conflicbert_binary_1/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/tomhaishiwo/conflicbert_binary_1/resolve/main/scheduler.pt
627 Bytes
- Xet hash:
- bd404f888eaab5da2224e1b740f2546898a30d659da41a65db67b0d7a75d44b7
- Size of remote file:
- 627 Bytes
- SHA256:
- 9408e7fb9501740bc453b1cfc37c7585fe2a326cc9b6a3cd48f7930f9c6a66de
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