Instructions to use Abris/input_classifier_v3_muppet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abris/input_classifier_v3_muppet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Abris/input_classifier_v3_muppet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Abris/input_classifier_v3_muppet") model = AutoModelForSequenceClassification.from_pretrained("Abris/input_classifier_v3_muppet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Abris/input_classifier_v3_muppet: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/Abris/input_classifier_v3_muppet/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Abris/input_classifier_v3_muppet/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Abris/input_classifier_v3_muppet/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- d053560071cf124fee4366697f88067282ebcf90b0db9ae8e18a4bb86181033f
- Size of remote file:
- 499 MB
- SHA256:
- 7e1469332c722459792e66043b03a95ab2248f46b3e158b01c811e6e6e464fb8
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