Instructions to use Tural/language-modeling-from-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tural/language-modeling-from-scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Tural/language-modeling-from-scratch")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Tural/language-modeling-from-scratch") model = AutoModelForMaskedLM.from_pretrained("Tural/language-modeling-from-scratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Tural/language-modeling-from-scratch: direct link, hf CLI and curl.
- Browser
- Download file 530 kB
-
https://huggingface.co/Tural/language-modeling-from-scratch/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://Tural/language-modeling-from-scratch@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Tural/language-modeling-from-scratch/resolve/refs%2Fpr%2F1/tokenizer.json
530 kB
File too large to display, you can check the raw version instead.