Instructions to use omarmomen/tf_babylm_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarmomen/tf_babylm_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omarmomen/tf_babylm_1", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("omarmomen/tf_babylm_1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a23e9bc5c5912e134ee48fdb8a3856c763444d94469b0129e76ae836b2cb62b
- Size of remote file:
- 135 MB
- SHA256:
- 2f295cf6b736aeee12757ea7ecc1c32ead791a33adf69b46f60969f6cd0b87a2
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