Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use devinitorg/cdp-multi-classifier-sub-classes-weighted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devinitorg/cdp-multi-classifier-sub-classes-weighted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="devinitorg/cdp-multi-classifier-sub-classes-weighted")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("devinitorg/cdp-multi-classifier-sub-classes-weighted") model = AutoModelForSequenceClassification.from_pretrained("devinitorg/cdp-multi-classifier-sub-classes-weighted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from devinitorg/cdp-multi-classifier-sub-classes-weighted: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/devinitorg/cdp-multi-classifier-sub-classes-weighted/resolve/main/training_args.bin
- Command line
-
hf download hf://devinitorg/cdp-multi-classifier-sub-classes-weighted/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/devinitorg/cdp-multi-classifier-sub-classes-weighted/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 53baf747eec5d973df84826d304bce0edea8334160e58b82d962d5c5e49fa0f2
- Size of remote file:
- 5.05 kB
- SHA256:
- 91748b6bd8516b831b2c898e640cd7b471a3c39c9c928ff98bfcd25334693c38
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