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
Update pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:226e2ec8255a945724b2cea264f47369f3af43117d46cfa081884c843d0a92f1
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size 336424516
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