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
Download training_args.bin from tafseer-nayeem/KidLM: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/tafseer-nayeem/KidLM/resolve/main/training_args.bin
- Command line
-
hf download hf://tafseer-nayeem/KidLM/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tafseer-nayeem/KidLM/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- d0a6664a6f903b197e26f59ea8e81202bd12bd20b3806aea05d68df9aebe7994
- Size of remote file:
- 2.99 kB
- SHA256:
- 4cf40672ce7f34d17dcee46b695b86fd9bc0430a1fea5a9ef35b60dd6fb7bd9e
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