Instructions to use Ponyyyy/squence_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ponyyyy/squence_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ponyyyy/squence_classification_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ponyyyy/squence_classification_model") model = AutoModelForSequenceClassification.from_pretrained("Ponyyyy/squence_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ponyyyy/squence_classification_model: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Ponyyyy/squence_classification_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Ponyyyy/squence_classification_model/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Ponyyyy/squence_classification_model/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- f930e77af7617dc7ddfa7d31c25d05c70524cac57f299d53d1f3695d9140a993
- Size of remote file:
- 5.05 kB
- SHA256:
- 4581b80850e64ad7c21da54152354826f844bd49a6133d1cb4fef5c2fe400aed
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