Instructions to use karths/binary_classification_train_TD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_TD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_TD")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_TD") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_TD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download test_data_for_future_evaluation.csv from karths/binary_classification_train_TD: direct link, hf CLI and curl.
- Browser
- Download file 13.2 MB
-
https://huggingface.co/karths/binary_classification_train_TD/resolve/main/test_data_for_future_evaluation.csv
- Command line
-
hf download hf://karths/binary_classification_train_TD/test_data_for_future_evaluation.csv
-
curl -L -o test_data_for_future_evaluation.csv https://huggingface.co/karths/binary_classification_train_TD/resolve/main/test_data_for_future_evaluation.csv
13.2 MB
- Xet hash:
- a64bd62c3dd896bd88a4ffac019f6aba7766553f41d3229f64ebe650f3e6bd51
- Size of remote file:
- 13.2 MB
- SHA256:
- 6939b4a1df4b574395d37dce88b09b02d14162b0790175334232151393fdce39
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