Instructions to use nuvte/testmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nuvte/testmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nuvte/testmodel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nuvte/testmodel") model = AutoModelForSequenceClassification.from_pretrained("nuvte/testmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nuvte/testmodel: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/nuvte/testmodel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nuvte/testmodel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nuvte/testmodel/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 41dd2a0c253dff5a074e2709e3d1bbc6c92226dab9864b9e7fd3bd294777f24a
- Size of remote file:
- 438 MB
- SHA256:
- be84579b84489b9e1806ab321ac993792803036a13a6dc4913e289f595f7750f
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