Instructions to use Extrabass/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Extrabass/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Extrabass/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Extrabass/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("Extrabass/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Extrabass/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/Extrabass/test_trainer/resolve/main/model.safetensors
- Command line
-
hf download hf://Extrabass/test_trainer/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Extrabass/test_trainer/resolve/main/model.safetensors
409 MB
- Xet hash:
- 3e9d6cb9696572efa9033311c90af0c0d88c91e1a75165484e2a7457dfb9397b
- Size of remote file:
- 409 MB
- SHA256:
- aad592742f2d503c4b80db7dc6d651bdeac71c4ddb64ebc4fb78c3db2e598e17
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