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 reduced_main_data.csv from karths/binary_classification_train_comp: direct link, hf CLI and curl.
- Browser
- Download file 135 MB
-
https://huggingface.co/karths/binary_classification_train_comp/resolve/514c3fc22dcd02da05ab3d3536f7dae99f42a16e/reduced_main_data.csv
- Command line
-
hf download hf://karths/binary_classification_train_comp@514c3fc22dcd02da05ab3d3536f7dae99f42a16e/reduced_main_data.csv
-
curl -L -o reduced_main_data.csv https://huggingface.co/karths/binary_classification_train_comp/resolve/514c3fc22dcd02da05ab3d3536f7dae99f42a16e/reduced_main_data.csv
135 MB
- Xet hash:
- f97aa87428f66073d53f84937a8fae5a37d9bd89e6bc4918b145e68e79caf5b4
- Size of remote file:
- 135 MB
- SHA256:
- 41d8e1e3865f3312ed20c352a03a598802f2f71c7016e8ef21522680dbdb45b9
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