Instructions to use karths/binary_classification_train_comp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_comp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_comp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_comp") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_comp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1840/optimizer.pt from karths/binary_classification_train_comp: direct link, hf CLI and curl.
- Browser
- Download file 657 MB
-
https://huggingface.co/karths/binary_classification_train_comp/resolve/514c3fc22dcd02da05ab3d3536f7dae99f42a16e/checkpoint-1840/optimizer.pt
- Command line
-
hf download hf://karths/binary_classification_train_comp@514c3fc22dcd02da05ab3d3536f7dae99f42a16e/checkpoint-1840/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/karths/binary_classification_train_comp/resolve/514c3fc22dcd02da05ab3d3536f7dae99f42a16e/checkpoint-1840/optimizer.pt
657 MB
- Xet hash:
- e4d318ee0ac095f4259a70fedf4af62021b47456e62d0b34e46c696c2d1a4819
- Size of remote file:
- 657 MB
- SHA256:
- 52788f424eefb5cb5b4b5e8c5e34d7fe1965f0084f3d39f164305cfd00fba1fa
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