Instructions to use Tensorride/Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tensorride/Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tensorride/Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tensorride/Classifier") model = AutoModelForSequenceClassification.from_pretrained("Tensorride/Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Tensorride/Classifier: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Tensorride/Classifier/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Tensorride/Classifier@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Tensorride/Classifier/resolve/refs%2Fpr%2F1/pytorch_model.bin
268 MB
- Xet hash:
- f23acef488b49b26a81d52d45f24068e54e1e4f692ad4bcdf7acc0448f9e5017
- Size of remote file:
- 268 MB
- SHA256:
- 8093ecc1f0822124e9dde14e34f54e4214aaabaf552af55f945f0a535a7db618
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