Instructions to use noodlesFelicity/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noodlesFelicity/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="noodlesFelicity/content")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("noodlesFelicity/content") model = AutoModelForMaskedLM.from_pretrained("noodlesFelicity/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train.csv from noodlesFelicity/content: direct link, hf CLI and curl.
- Browser
- Download file 686 kB
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https://huggingface.co/noodlesFelicity/content/resolve/refs%2Fpr%2F1/train.csv
- Command line
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hf download hf://noodlesFelicity/content@refs/pr/1/train.csv
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curl -L -o train.csv https://huggingface.co/noodlesFelicity/content/resolve/refs%2Fpr%2F1/train.csv
686 kB
File too large to display, you can check the raw version instead.