Instructions to use alexismatzopoulos/elcbertclone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexismatzopoulos/elcbertclone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alexismatzopoulos/elcbertclone", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("alexismatzopoulos/elcbertclone", trust_remote_code=True, dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7da4f2f03f0640c2d080388f1f2dbdd1a244c624eaa5189fb6292e45d3297c22
- Size of remote file:
- 120 MB
- SHA256:
- 68b5c48fd00c926a0c732d71306d7751d76d8e86f09f80c2526d878187a5987d
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