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 training_args.bin from elopezlopez/tests: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/elopezlopez/tests/resolve/main/training_args.bin
- Command line
-
hf download hf://elopezlopez/tests/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/elopezlopez/tests/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 3bcccf596312687e219fe3b72653977529a39427f23b65fe826b560b27826f5e
- Size of remote file:
- 3.58 kB
- SHA256:
- 9cc64eb4d48a549bf076697c46e7a120cdf1e5626596e6b442dbfd981ceb8fbd
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