Instructions to use pulp/ParentBERTo-4-years-old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pulp/ParentBERTo-4-years-old with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pulp/ParentBERTo-4-years-old")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pulp/ParentBERTo-4-years-old") model = AutoModelForMaskedLM.from_pretrained("pulp/ParentBERTo-4-years-old", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from pulp/ParentBERTo-4-years-old: direct link, hf CLI and curl.
- Browser
- Download file 122 MB
-
https://huggingface.co/pulp/ParentBERTo-4-years-old/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pulp/ParentBERTo-4-years-old/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pulp/ParentBERTo-4-years-old/resolve/main/pytorch_model.bin
122 MB
- Xet hash:
- cfed4a4b8bb679ff1bdf6c1a4a6208af83423df166c2c7b769b42d7431ce3517
- Size of remote file:
- 122 MB
- SHA256:
- f96cc5ced1347b6f07496c15cfd3a88b6970aa60a76391ab11de0d3fae957c1d
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