Instructions to use karths/binary_classification_train_automation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_automation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_automation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_automation") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_automation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-695/scheduler.pt from karths/binary_classification_train_automation: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/karths/binary_classification_train_automation/resolve/main/checkpoint-695/scheduler.pt
- Command line
-
hf download hf://karths/binary_classification_train_automation/checkpoint-695/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/karths/binary_classification_train_automation/resolve/main/checkpoint-695/scheduler.pt
1.06 kB
- Xet hash:
- 828016ee49d723f31beee7bd5a752dbcd95d04f42d70eb78e20e34ac8dc804e0
- Size of remote file:
- 1.06 kB
- SHA256:
- 11fbda27d5b1e83138180df23bf17659b9bcfbd4958e91780cb692f0c0be489b
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