Instructions to use catofnull/Pretrain3-fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use catofnull/Pretrain3-fold1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="catofnull/Pretrain3-fold1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("catofnull/Pretrain3-fold1") model = AutoModelForMaskedLM.from_pretrained("catofnull/Pretrain3-fold1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f8a7ae6a8dbfd3e1f91c28ac2c14acd0b041326fdbcaa163af9eb99937c08b9
- Size of remote file:
- 438 MB
- SHA256:
- 1914adae8c65a3f2fc6d03349ad520f9ea9e43157583b8ba54a121d4bdca04c3
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