Instructions to use omarmomen/sf_ip_babylm_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarmomen/sf_ip_babylm_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omarmomen/sf_ip_babylm_1", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("omarmomen/sf_ip_babylm_1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1063b5aa99f238d7f02aeb598a7cdf7a9242fc36e9b040937b6063b8e08f2910
- Size of remote file:
- 166 MB
- SHA256:
- bea2e965359c24a325c41425144676e12481794677a98cc5ad661afacee873bf
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