Fill-Mask
Transformers
PyTorch
Safetensors
gpt_bert
feature-extraction
gpt-bert
babylm
remote-code
custom_code
Instructions to use jumelet/gptbert-nor-100steps-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jumelet/gptbert-nor-100steps-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jumelet/gptbert-nor-100steps-base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jumelet/gptbert-nor-100steps-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fe4744e3c4bb7031b3fd6d03b7f156e27696618e085ef3661148527790a81fd
- Size of remote file:
- 145 MB
- SHA256:
- 4e4c99b927cd0d76279ce67f99c4d9bb39508bd1b9ae0df78a4cc7cba755a7fa
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