Instructions to use adriansanz/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/test2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriansanz/test2") model = AutoModelForSequenceClassification.from_pretrained("adriansanz/test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adriansanz/test2: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/adriansanz/test2/resolve/main/training_args.bin
- Command line
-
hf download hf://adriansanz/test2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adriansanz/test2/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 846e318e7f655432115bd5099d61ab2341c7276b67380e62ab7c6eb5b898a851
- Size of remote file:
- 4.92 kB
- SHA256:
- 6a3cdc82b248c6f57bcd1f1fe3c20580a40cc547e330e5e0da53f21761f8fbdf
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