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 pretraining_data.txt from noodlesFelicity/content: direct link, hf CLI and curl.
- Browser
- Download file 812 kB
-
https://huggingface.co/noodlesFelicity/content/resolve/main/pretraining_data.txt
- Command line
-
hf download hf://noodlesFelicity/content/pretraining_data.txt
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curl -L -o pretraining_data.txt https://huggingface.co/noodlesFelicity/content/resolve/main/pretraining_data.txt
812 kB
File too large to display, you can check the raw version instead.