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 optimizer.pt from tomhaishiwo/conflicbert_binary_1: direct link, hf CLI and curl.
- Browser
- Download file 873 MB
-
https://huggingface.co/tomhaishiwo/conflicbert_binary_1/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://tomhaishiwo/conflicbert_binary_1@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/tomhaishiwo/conflicbert_binary_1/resolve/refs%2Fpr%2F1/optimizer.pt
873 MB
- Xet hash:
- 26ab3f1bb8ed8769ef15def34dc4609e8d631c8581c96e1f02cca321008ce539
- Size of remote file:
- 873 MB
- SHA256:
- 252bb98b2599a9e421e8c0b81ee6c873c1abeac5f919160c862eb7d16fbb1484
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