Instructions to use FilipT/babylm-tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FilipT/babylm-tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FilipT/babylm-tmp", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("FilipT/babylm-tmp", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 012a10e945c8f8e208b9c4871ee30bd63ba8a5e5f41d8fbb009b002ea8d17451
- Size of remote file:
- 5.3 kB
- SHA256:
- c18800c8cfd89a8eb5069f9f6792e713167cca90bbf5621997a64024f858e23b
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