Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use King-8/request-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use King-8/request-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="King-8/request-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("King-8/request-classifier") model = AutoModelForSequenceClassification.from_pretrained("King-8/request-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from King-8/request-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/King-8/request-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://King-8/request-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/King-8/request-classifier/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 6b0bccff1f02a053c30f33411b41971241ce29928abdddb2e323fb5091f94aea
- Size of remote file:
- 5.84 kB
- SHA256:
- f41dcc6800a50c52254dea61f599397b6eddea8a7f70ff4ef28821392bb28cea
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