Instructions to use scy99/helloworld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scy99/helloworld with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="scy99/helloworld")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("scy99/helloworld") model = AutoModelForSequenceClassification.from_pretrained("scy99/helloworld", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from scy99/helloworld: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/scy99/helloworld/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://scy99/helloworld/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/scy99/helloworld/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- 7183d95c67d11fcdcec69479793dc4abd49af7d31a68012aedf2aa08a01d06a5
- Size of remote file:
- 409 MB
- SHA256:
- e2d1579a640d14635fe0e2f3270a33352afa0ae3b1b84dcba4f3787e0b097769
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