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 tokenizer.json from scy99/helloworld: direct link, hf CLI and curl.
- Browser
- Download file 439 kB
-
https://huggingface.co/scy99/helloworld/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://scy99/helloworld@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/scy99/helloworld/resolve/refs%2Fpr%2F1/tokenizer.json
439 kB
- Xet hash:
- ad33bfaf165df1d54da3eea865ee1c527d62c1a04a14bb3fe221fe7054cdc623
- Size of remote file:
- 439 kB
- SHA256:
- c9c9a74e179a68973f69f4d9dc6245c3563b350dffa313f29b875ce9619e99c9
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