Instructions to use xyntopia/tb_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xyntopia/tb_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xyntopia/tb_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xyntopia/tb_classifier") model = AutoModelForSequenceClassification.from_pretrained("xyntopia/tb_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from xyntopia/tb_classifier: direct link, hf CLI and curl.
- Browser
- Download file 90.9 MB
-
https://huggingface.co/xyntopia/tb_classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://xyntopia/tb_classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/xyntopia/tb_classifier/resolve/main/pytorch_model.bin
90.9 MB
- Xet hash:
- 55ff52ec1b51db55177d0a31f55fc750daf7156d57dd81030f90185f889b3354
- Size of remote file:
- 90.9 MB
- SHA256:
- 7fd87f27984a1a50936202f1926645a528c7a457f64062dc71e8b5aee283a483
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