Instructions to use eclec/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclec/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eclec/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eclec/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("eclec/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download run-0/checkpoint-3/optimizer.pt from eclec/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.55 MB
-
https://huggingface.co/eclec/test_trainer/resolve/main/run-0/checkpoint-3/optimizer.pt
- Command line
-
hf download hf://eclec/test_trainer/run-0/checkpoint-3/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/eclec/test_trainer/resolve/main/run-0/checkpoint-3/optimizer.pt
4.55 MB
- Xet hash:
- d133ca6c6c50e5ce522d52100422b246bb2804a0e2e4dfbd1d777d49add4ab4d
- Size of remote file:
- 4.55 MB
- SHA256:
- b23ce8045cea57b9bff180e3f8116a3b757ce56988d5170d5e1123fb4f722c4b
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