Text Classification
Transformers
PyTorch
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gaodrew/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaodrew/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gaodrew/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gaodrew/results") model = AutoModelForSequenceClassification.from_pretrained("gaodrew/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gaodrew/results: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/gaodrew/results/resolve/main/training_args.bin
- Command line
-
hf download hf://gaodrew/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gaodrew/results/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- d5ffef94bc497cfb57b70f31c335fec1b236bca9b19f19c93ceb8019828159a0
- Size of remote file:
- 4.86 kB
- SHA256:
- 9fb25c40cc7153f0d04cfc4f8077fb1e6e7ee72b91aff8b8941527538f8fb8f0
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