Instructions to use HXCR/HelloWorld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HXCR/HelloWorld with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HXCR/HelloWorld")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HXCR/HelloWorld") model = AutoModelForMaskedLM.from_pretrained("HXCR/HelloWorld") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8551e6fa44f14b478099bbca18ed2b650664f03c73a62877ba517ed1a9b793e6
- Size of remote file:
- 2.52 MB
- SHA256:
- 347bfaa901dfdbe3e1dacdde221d1dfa33975a9ba6eef9ae61b6ca217e6888d8
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