Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use XYZ123XYZ/waste-classification-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XYZ123XYZ/waste-classification-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="XYZ123XYZ/waste-classification-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("XYZ123XYZ/waste-classification-2") model = AutoModelForSequenceClassification.from_pretrained("XYZ123XYZ/waste-classification-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from XYZ123XYZ/waste-classification-2: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/XYZ123XYZ/waste-classification-2/resolve/main/training_args.bin
- Command line
-
hf download hf://XYZ123XYZ/waste-classification-2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/XYZ123XYZ/waste-classification-2/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 99b0ba84c3ee27d2d3ab2478976dfdf1b18d7d2318142b0b5c5e90292ba10930
- Size of remote file:
- 4.92 kB
- SHA256:
- 3e9b7419862911338c48aca5f8017165b89da5663771e794bcbb9d12d23d1de1
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