Instructions to use techtank/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techtank/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="techtank/test-trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("techtank/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("techtank/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from techtank/test-trainer: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/techtank/test-trainer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://techtank/test-trainer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/techtank/test-trainer/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 66fd0c4cbc67d6fa4d4595c92a3fb4a9883883e5c486a9a4f59135f9bce65836
- Size of remote file:
- 438 MB
- SHA256:
- e07e376b026d2099334e6f26f1e2995df197ab290d26715354eb803970157e8f
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