Instructions to use seyonec/checkpoint-50000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seyonec/checkpoint-50000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seyonec/checkpoint-50000")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("seyonec/checkpoint-50000") model = AutoModelForMaskedLM.from_pretrained("seyonec/checkpoint-50000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2781320776c00dd3db1e79f22ae5a18f2c73ae0d33f9277cb20e7c3ac959bf78
- Size of remote file:
- 334 MB
- SHA256:
- bc9c9ab01d85873b6eb0a92ec07f4830c599188fba1afa95ab9bcbb5958ae370
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