Instructions to use tafseer-nayeem/KidLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tafseer-nayeem/KidLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tafseer-nayeem/KidLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tafseer-nayeem/KidLM") model = AutoModelForMaskedLM.from_pretrained("tafseer-nayeem/KidLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload 4 files
Browse files- merges.txt +0 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
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{"model_max_length": 512}
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