Instructions to use elopezlopez/tests with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elopezlopez/tests with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="elopezlopez/tests")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("elopezlopez/tests") model = AutoModelForSequenceClassification.from_pretrained("elopezlopez/tests", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from elopezlopez/tests: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/elopezlopez/tests/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://elopezlopez/tests/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/elopezlopez/tests/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 3f34b17155e039dc4e3802fcdf3572b226242d8e5d19477c15f6041ebfcdcdb5
- Size of remote file:
- 499 MB
- SHA256:
- aa9e7e05afb2d9fcef6ab2979d70b64e059bb51f015f9babd47ca97fcec9c177
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