Instructions to use gyeoldere/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gyeoldere/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gyeoldere/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gyeoldere/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("gyeoldere/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gyeoldere/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/gyeoldere/test_trainer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gyeoldere/test_trainer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gyeoldere/test_trainer/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- 75e4870ef555c78dc7188ba97d4ab7cd14c92cfa8b9eba74208fc4287bf4ee87
- Size of remote file:
- 557 MB
- SHA256:
- c4a3e23077fc7223496a74b9f9b7a8145d5dbd36dfa557742383c8280df281fe
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