Instructions to use scroobiustrip/test-classifier-model-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scroobiustrip/test-classifier-model-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="scroobiustrip/test-classifier-model-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("scroobiustrip/test-classifier-model-v1") model = AutoModel.from_pretrained("scroobiustrip/test-classifier-model-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from scroobiustrip/test-classifier-model-v1: direct link, hf CLI and curl.
- Browser
- Download file 669 MB
-
https://huggingface.co/scroobiustrip/test-classifier-model-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://scroobiustrip/test-classifier-model-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/scroobiustrip/test-classifier-model-v1/resolve/main/pytorch_model.bin
669 MB
- Xet hash:
- 0c84f6375eae7d6fb09badccb9b3f38afd4eb397e96a3d83a2589f6a6b52f784
- Size of remote file:
- 669 MB
- SHA256:
- f0646294fbbe2a18bbcb18fc6ac0a0e16bc47a260054a0b75ed4d5a7388c93c7
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