Instructions to use pulp/CHILDES-ParentBERTo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pulp/CHILDES-ParentBERTo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pulp/CHILDES-ParentBERTo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pulp/CHILDES-ParentBERTo") model = AutoModelForMaskedLM.from_pretrained("pulp/CHILDES-ParentBERTo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from pulp/CHILDES-ParentBERTo: direct link, hf CLI and curl.
- Browser
- Download file 276 MB
-
https://huggingface.co/pulp/CHILDES-ParentBERTo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pulp/CHILDES-ParentBERTo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pulp/CHILDES-ParentBERTo/resolve/main/pytorch_model.bin
276 MB
- Xet hash:
- f2cf6dccb98394b2666a51199262efba1c6d873ca6b2c536467fb4c56ed681af
- Size of remote file:
- 276 MB
- SHA256:
- 0c582a396df068af0af90954ff0ad156a2fec35630f5c05ccb11970c1a49c2bc
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